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ORCIDManish Parashar
Person information
- affiliation: University of Utah, Kahlert School of Computing, Salt Lake City, UT, USA
- affiliation (former): Rutgers University, Rutgers Discovery Informatics Institute (RDI2), Piscataway, NJ, USA
- affiliation (former): University of Texas at Austin, Department of Computer Sciences, TX, USA
- affiliation (former): Argonne National Laboratory, Lemont, IL, USA
- affiliation (PhD 1994): Syracuse University, Department of Electrical and Computer Engineering, Syracuse, NY, USA
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2020 – today
- 2024
[c251]Shaleen Garg
, Jian Zhang, Rekha Pitchumani, Manish Parashar, Bing Xie, Sudarsun Kannan:
CrossPrefetch: Accelerating I/O Prefetching for Modern Storage. ASPLOS (1) 2024: 102-116- [i17]Torsten Hoefler, Marcin Copik, Pete Beckman, Andrew Jones, Ian T. Foster, Manish Parashar, Daniel A. Reed, Matthias Troyer, Thomas C. Schulthess, Dan Ernst, Jack J. Dongarra:
XaaS: Acceleration as a Service to Enable Productive High-Performance Cloud Computing. CoRR abs/2401.04552 (2024) - [i16]Manish Parashar:
Everywhere & Nowhere: Envisioning a Computing Continuum for Science. CoRR abs/2406.04480 (2024) - [i15]Greg Eisenhauer, Norbert Podhorszki, Ana Gainaru, Scott Klasky, Philip E. Davis, Manish Parashar, Matthew Wolf, Eric Suchtya, Erick Fredj, Vicente Bolea, Franz Pöschel, Klaus Steiniger, Michael Bussmann, Richard Pausch, Sunita Chandrasekaran:
Streaming Data in HPC Workflows Using ADIOS. CoRR abs/2410.00178 (2024) - 2023
- [j157]Nina Amla, Dilma Da Silva, Michael Littman, Manish Parashar:
NSF on Chien's Grand Challenge for Sustainability. Commun. ACM 66(5): 36-37 (2023) - [j156]Manish Parashar, Tess DeBlanc-Knowles, Erwin P. Gianchandani, Lynne E. Parker:
Strengthening and Democratizing Artificial Intelligence Research and Development. Computer 56(11): 85-90 (2023) - [j155]Zhe Wang, Matthieu Dorier, Pradeep Subedi, Philip E. Davis, Manish Parashar:
Adaptive elasticity policies for staging-based in situ visualization. Future Gener. Comput. Syst. 142: 75-89 (2023) - [j154]Matthieu Dorier, Zhe Wang, Srinivasan Ramesh, Utkarsh Ayachit, Shane Snyder, Robert B. Ross, Manish Parashar:
Towards elastic in situ analysis for high-performance computing simulations. J. Parallel Distributed Comput. 177: 106-116 (2023) - [j153]Manish Parashar:
Editorial. IEEE Trans. Parallel Distributed Syst. 34(2): 429-430 (2023) - [c250]Tevfik Kosar, Manish Parashar, Judy Fox, Christoph Hagleithner:
Message from the Chairs. CLOUD 2023: xix - [c249]Manish Parashar, Ilkay Altintas:
Toward Democratizing Access to Science Data: Introducing the National Data Platform. e-Science 2023: 1-4 - [c248]Bo Zhang, Philip E. Davis, Nicolas M. Morales, Zhao Zhang, Keita Teranishi, Manish Parashar:
Optimizing Data Movement for GPU-Based In-Situ Workflow Using GPUDirect RDMA. Euro-Par 2023: 323-338 - [c247]Philip E. Davis, Jacob S. Merson, Pradeep Subedi, Lee F. Ricketson, Cameron W. Smith, Mark S. Shephard, Manish Parashar:
Benesh: a Framework for Choreographic Coordination of In Situ Workflows. HiPC 2023: 298-308 - [c246]Manish Parashar:
Computing Everywhere, All at Once: Harnessing the Computing Continuum for Science. HiPC 2023: xxiv - [c245]Manish Parashar:
Computing Everywhere, All at Once: Harnessing the Computing Continuum for Science. HPDC 2023: 1 - [c244]Christian Sicari, Alessio Catalfamo, Lorenzo Carnevale, Antonino Galletta, Daniel Balouek-Thomert, Manish Parashar, Massimo Villari:
TEMA: Event Driven Serverless Workflows Platform for Natural Disaster Management. ISCC 2023: 1-6 - [c243]Daniel Balouek-Thomert, Ismael Pérez, Sam D. Faulstich, Heather A. Holmes, Ilkay Altintas, Manish Parashar:
Keynote Talk: Leveraging the Edge-Cloud Continuum to Manage the Impact of Wildfires on Air Quality. PerCom Workshops 2023: 27-31 - [c242]Marcus Adair, Ivan Rodero, Manish Parashar, Diego Melgar:
Accelerating Data-Intensive Seismic Research Through Parallel Workflow Optimization and Federated Cyberinfrastructure. SC Workshops 2023: 1968-1977 - [c241]Christian Sicari, Daniel Balouek, Manish Parashar, Massimo Villari:
Event-Driven FaaS Workflows for Enabling IoT Data Processing at the Cloud Edge Continuum. UCC 2023: 1 - [i14]Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala, Debbie Bard, Peer-Timo Bremer, Ian Buckley, Silvina Caíno-Lores, Kyle Chard, Carole A. Goble, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Manish Parashar, Frédéric Suter, Nick Tyler, Thomas D. Uram, Ilkay Altintas, Stefan Andersson, William Arndt, Juan Aznar, Jonathan Bader, Bartosz Balis, Chris Blanton, Kelly Rosa Braghetto, Aharon Brodutch, Paul Brunk, Henri Casanova, Alba Cervera-Lierta, Justin Chigu, Tainã Coleman, Nick Collier, Iacopo Colonnelli, Frederik Coppens, Michael R. Crusoe, Will Cunningham, Bruno de Paula Kinoshita, Paolo Di Tommaso, Charles M. Doutriaux, Matthew Downton, Wael R. Elwasif, Bjoern Enders, Chris Erdmann, Thomas Fahringer, Ludmilla Figueiredo, Rosa Filgueira, Martin Foltin, Anne Fouilloux, Luiz Gadelha, Andy Gallo, Artur García-Sáez, et al.:
Workflows Community Summit 2022: A Roadmap Revolution. CoRR abs/2304.00019 (2023) - 2022
- [j152]Manish Parashar, Amy Friedlander, Erwin P. Gianchandani, Margaret Martonosi:
Transforming science through cyberinfrastructure. Commun. ACM 65(8): 30-32 (2022) - [j151]Manish Parashar:
Advancing Reproducibility in Parallel and Distributed Systems Research. Computer 55(5): 4-5 (2022) - [j150]Manish Parashar, Michael A. Heroux, Victoria Stodden:
Research Reproducibility. Computer 55(8): 16-18 (2022) - [j149]Manish Parashar:
Democratizing Science Through Advanced Cyberinfrastructure. Computer 55(9): 79-84 (2022) - [j148]James M. Brase, Nancy Campbell, Barbara Helland, Thuc Hoang, Manish Parashar, Michael Rosenfield, James C. Sexton, John Towns, Kathryn M. Mohror, John M. Shalf:
The COVID-19 High-Performance Computing Consortium. Comput. Sci. Eng. 24(1): 78-85 (2022) - [j147]Yubo Qin, Ivan Rodero, Manish Parashar:
Toward Democratizing Access to Facilities Data: A Framework for Intelligent Data Discovery and Delivery. Comput. Sci. Eng. 24(3): 52-60 (2022) - [j146]Manish Parashar:
Jack Dongarra: Catalyzing the Transformation of High-Performance Computing. Comput. Sci. Eng. 24(4): 4-5 (2022) - [j145]Manish Parashar, David Abramson:
Accidental Translationists: A Perspective From the Trenches. Comput. Sci. Eng. 24(4): 70-75 (2022) - [j144]Eric Suchyta, Scott Klasky, Norbert Podhorszki, Matthew Wolf, Abolaji D. Adesoji, Choong-Seock Chang, Jong Choi, Philip E. Davis, Julien Dominski, Stéphane Ethier, Ian T. Foster, Kai Germaschewski, Berk Geveci, Chris Harris, Kevin A. Huck, Qing Liu, Jeremy Logan, Kshitij Mehta, Gabriele Merlo, Shirley V. Moore, Todd S. Munson, Manish Parashar, David Pugmire, Mark S. Shephard, Cameron W. Smith, Pradeep Subedi, Lipeng Wan, Ruonan Wang, Shuangxi Zhang:
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. Int. J. High Perform. Comput. Appl. 36(1): 106-128 (2022) - [j143]Muhammad K. Ali, Ashiq Anjum, Omer F. Rana, Ali Reza Zamani, Daniel Balouek-Thomert, Manish Parashar:
RES: Real-Time Video Stream Analytics Using Edge Enhanced Clouds. IEEE Trans. Cloud Comput. 10(2): 792-804 (2022) - [j142]Manish Parashar:
EiC Editorial - Advancing Reproducibility in Parallel and Distributed Systems Research. IEEE Trans. Parallel Distributed Syst. 33(9): 2010 (2022) - [j141]Moustafa AbdelBaky, Manish Parashar:
A General Performance and QoS Model for Distributed Software-Defined Environments. IEEE Trans. Serv. Comput. 15(1): 228-240 (2022) - [c240]Bo Zhang, Pradeep Subedi, Philip E. Davis, Francesco Rizzi, Keita Teranishi, Manish Parashar:
Assembling Portable In-Situ Workflow from Heterogeneous Components using Data Reorganization. CCGRID 2022: 41-50 - [c239]Manish Parashar:
Data-Management for Extreme Science: Experiences in Translational Computer Science Research. HPDC 2022: 3 - [c238]Matthieu Dorier, Zhe Wang, Utkarsh Ayachit, Shane Snyder, Robert B. Ross, Manish Parashar:
Colza: Enabling Elastic In Situ Visualization for High-performance Computing Simulations. IPDPS 2022: 538-548 - [c237]Zhe Wang, Matthieu Dorier, Manish Parashar:
Research Perspectives Toward Autonomic Optimization of In Situ Analysis and Visualization. ISAV@SC 2022: 7-13 - [c236]Moustafa AbdelBaky, Manish Parashar:
A General Performance and QoS Model for Distributed Software-Defined Environments. SERVICES 2022: 28 - 2021
- [j140]Manish Parashar:
Enabling Reproducible Research in Parallel and Distributed Systems. Computer 54(7): 4-5 (2021) - [j139]Manish Parashar, David Abramson:
Translational Computer Science for Science and Engineering. Comput. Sci. Eng. 23(5): 5-6 (2021) - [j138]Yubo Qin, Ivan Rodero, Anthony Simonet, Charles Meertens, Daniel Reiner, James Riley, Manish Parashar:
Leveraging user access patterns and advanced cyberinfrastructure to accelerate data delivery from shared-use scientific observatories. Future Gener. Comput. Syst. 122: 14-27 (2021) - [j137]Ian T. Foster, Mark Ainsworth, Julie Bessac, Franck Cappello, Jong Choi, Sheng Di, Zichao Wendy Di, Ali Murat Gok, Hanqi Guo, Kevin A. Huck, Christopher Kelly, Scott Klasky, Kerstin Kleese van Dam, Xin Liang, Kshitij Mehta, Manish Parashar, Tom Peterka, Line Pouchard, Tong Shu, Ozan Tugluk, Hubertus Van Dam, Lipeng Wan, Matthew Wolf, Justin M. Wozniak, Wei Xu, Igor Yakushin, Shinjae Yoo, Todd S. Munson:
Online data analysis and reduction: An important Co-design motif for extreme-scale computers. Int. J. High Perform. Comput. Appl. 35(6): 617-635 (2021) - [j136]Ioan Petri, Omer F. Rana, Luiz F. Bittencourt, Daniel Balouek-Thomert, Manish Parashar:
Autonomics at the Edge: Resource Orchestration for Edge Native Applications. IEEE Internet Comput. 25(4): 21-29 (2021) - [j135]David Abramson, Manish Parashar, Peter W. Arzberger:
Translation computer science - Overview of the special issue. J. Comput. Sci. 52: 101227 (2021) - [j134]Manish Parashar:
Editor's Note. IEEE Trans. Parallel Distributed Syst. 32(4): 743-745 (2021) - [j133]Manish Parashar:
Editor's Note. IEEE Trans. Parallel Distributed Syst. 32(10): 2381-2385 (2021) - [j132]Manish Parashar:
Guest Editorial: Special Section on SC19 Student Cluster Competition. IEEE Trans. Parallel Distributed Syst. 32(11): 2606 (2021) - [c235]Pradeep Subedi, Philip E. Davis, Manish Parashar:
RISE: Reducing I/O Contention in Staging-based Extreme-Scale In-situ Workflows. CLUSTER 2021: 146-156 - [c234]Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar:
Adaptive Placement of Data Analysis Tasks For Staging Based In-Situ Processing. HiPC 2021: 242-251 - [c233]Daniel Balouek-Thomert, Manish Parashar:
Platforms for Edge Computing and Internet of Things applications: A survey. IC3 2021: 140-149 - [c232]Yubo Qin, Ivan Rodero, Manish Parashar:
Facilitating Data Discovery for Large-scale Science Facilities using Knowledge Networks. IPDPS 2021: 651-660 - [c231]Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar:
Facilitating Staging-based Unstructured Mesh Processing to Support Hybrid In-Situ Workflows. IPDPS Workshops 2021: 960-964 - [c230]Zeina Houmani, Daniel Balouek-Thomert, Eddy Caron, Manish Parashar:
Enabling microservices management for Deep Learning applications across the Edge-Cloud Continuum. SBAC-PAD 2021: 137-146 - [c229]Daniel Balouek-Thomert, Ivan Rodero, Manish Parashar:
Evaluating policy-driven adaptation on the Edge-to-Cloud Continuum. UrgentHPC@SC 2021: 11-20 - [c228]Daniel Balouek-Thomert, Pedro Silva, Kevin Fauvel, Alexandru Costan, Gabriel Antoniu, Manish Parashar:
MDSC: modelling distributed stream processing across the edge-to-cloud continuum. UCC Companion 2021: 25:1-25:6 - [c227]Zhe Wang, Matthieu Dorier, Pradeep Subedi, Philip E. Davis, Manish Parashar:
An Adaptive Elasticity Policy For Staging Based In-Situ Processing. WORKS 2021: 33-41 - [i13]Azita Nouri, Philip E. Davis, Pradeep Subedi, Manish Parashar:
Exploring the Role of Machine Learning in Scientific Workflows: Opportunities and Challenges. CoRR abs/2110.13999 (2021) - [i12]Yubo Qin, Ivan Rodero, Manish Parashar:
Toward Democratizing Access to Facilities Data: A Framework for Intelligent Data Discovery and Delivery. CoRR abs/2112.06479 (2021) - 2020
- [j131]Manish Parashar:
Parallel and Distributed Systems. Computer 53(11): 7-8 (2020) - [j130]Ali Reza Zamani, Moustafa AbdelBaky, Daniel Balouek-Thomert, Juan J. Villalobos, Ivan Rodero, Manish Parashar:
Submarine: A subscription-based data streaming framework for integrating large facilities and advanced cyberinfrastructure. Concurr. Comput. Pract. Exp. 32(16) (2020) - [j129]Manish Parashar, Anthony Simonet, Ivan Rodero, Forough Ghahramani, Grace Agnew, Ron Jantz, Vasant G. Honavar:
The Virtual Data Collaboratory: A Regional Cyberinfrastructure for Collaborative Data-Driven Research. Comput. Sci. Eng. 22(3): 79-92 (2020) - [j128]Ivan Rodero, Manish Parashar:
Data Cyberinfrastructure for End-to-End Science. Comput. Sci. Eng. 22(5): 60-71 (2020) - [j127]Ali Reza Zamani, Daniel Balouek-Thomert, Juan J. Villalobos, Ivan Rodero, Manish Parashar:
An edge-aware autonomic runtime for data streaming and in-transit processing. Future Gener. Comput. Syst. 110: 107-118 (2020) - [j126]Hank Childs, Sean Ahern, James P. Ahrens, Andrew C. Bauer, Janine Bennett, E. Wes Bethel, Peer-Timo Bremer, Eric Brugger, Joseph Cottam, Matthieu Dorier, Soumya Dutta, Jean M. Favre, Thomas Fogal, Steffen Frey, Christoph Garth, Berk Geveci, William F. Godoy, Charles D. Hansen, Cyrus Harrison, Bernd Hentschel, Joseph A. Insley, Christopher R. Johnson, Scott Klasky, Aaron Knoll, James Kress, Matthew Larsen, Jay F. Lofstead, Kwan-Liu Ma, Preeti Malakar, Jeremy S. Meredith, Kenneth Moreland, Paul A. Navrátil, Patrick O'Leary, Manish Parashar, Valerio Pascucci, John Patchett, Tom Peterka, Steve Petruzza, Norbert Podhorszki, David Pugmire, Michel E. Rasquin, Silvio Rizzi, David H. Rogers, Sudhanshu Sane, Franz Sauer, Robert Sisneros, Han-Wei Shen, Will Usher, Rhonda Vickery, Venkatram Vishwanath, Ingo Wald, Ruonan Wang, Gunther H. Weber, Brad Whitlock, Matthew Wolf, Hongfeng Yu, Sean B. Ziegeler:
A terminology for in situ visualization and analysis systems. Int. J. High Perform. Comput. Appl. 34(6) (2020) - [j125]Tong Jin, Fan Zhang, Qian Sun, Melissa Romanus, Hoang Bui, Manish Parashar:
Towards autonomic data management for staging-based coupled scientific workflows. J. Parallel Distributed Comput. 146: 35-51 (2020) - [j124]Daniel Balouek-Thomert, Ivan Rodero, Manish Parashar:
Harnessing the Computing Continuum for Urgent Science. SIGMETRICS Perform. Evaluation Rev. 48(2): 41-46 (2020) - [j123]William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip E. Davis, Jong Choi, Kai Germaschewski, Kevin A. Huck, Axel Huebl, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky:
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. SoftwareX 12: 100561 (2020) - [j122]Shiyan Hu, Xin Li, Haibo He, Shuguang Cui, Manish Parashar:
Big Data for Cyber-Physical Systems. IEEE Trans. Big Data 6(4): 606-608 (2020) - [j121]Ching-Hsien Hsu, Manish Parashar, Omer F. Rana:
Guest Editorial: Special Section on Advances of Utility and Cloud Computing Technologies and Services. IEEE Trans. Cloud Comput. 8(4): 972-974 (2020) - [j120]Shaohua Duan, Pradeep Subedi, Philip E. Davis, Keita Teranishi, Hemanth Kolla, Marc Gamell, Manish Parashar:
CoREC: Scalable and Resilient In-memory Data Staging for In-situ Workflows. ACM Trans. Parallel Comput. 7(2): 12:1-12:29 (2020) - [j119]Manish Parashar:
Editor's Note. IEEE Trans. Parallel Distributed Syst. 31(2): 251-252 (2020) - [j118]Ali Reza Zamani, Mengsong Zou, Javier Diaz Montes, Ioan Petri, Omer F. Rana, Ashiq Anjum, Manish Parashar:
Deadline Constrained Video Analysis via In-Transit Computational Environments. IEEE Trans. Serv. Comput. 13(1): 59-72 (2020) - [c226]Kevin Fauvel, Daniel Balouek-Thomert, Diego Melgar, Pedro Silva, Anthony Simonet, Gabriel Antoniu, Alexandru Costan, Véronique Masson, Manish Parashar, Ivan Rodero, Alexandre Termier:
A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning. AAAI 2020: 403-411 - [c225]Zeina Houmani, Daniel Balouek-Thomert, Eddy Caron, Manish Parashar:
Enhancing microservices architectures using data-driven service discovery and QoS guarantees. CCGRID 2020: 290-299 - [c224]Issam Raïs, Otto J. Anshus, John Markus Bjørndalen, Daniel Balouek-Thomert, Manish Parashar:
Trading Data Size and CNN Confidence Score for Energy Efficient CPS Node Communications. CCGRID 2020: 469-478 - [c223]Zhe Wang, Pradeep Subedi, Matthieu Dorier, Philip E. Davis, Manish Parashar:
Staging Based Task Execution for Data-driven, In-Situ Scientific Workflows. CLUSTER 2020: 209-220 - [c222]Shaohua Duan, Manish Parashar:
Scalable Crash Consistency for Staging-based In-situ Scientific Workflows. IPDPS Workshops 2020: 340-348 - [c221]Shaleen Garg, Sudarsun Kannan, Manish Parashar:
The Need for Precise and Efficient Memory Capacity Budgeting. MEMSYS 2020: 169-177 - [c220]Philip E. Davis, Pradeep Subedi, Shaohua Duan, Lee F. Ricketson, Jeffrey A. F. Hittinger, Manish Parashar:
Benesh: a Programming Model for Coupled Scientific Workflows. ESPM2@SC 2020: 1-9 - [e26]Manish Parashar, Vladimir Vlassov, David E. Irwin, Kathryn M. Mohror:
HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, Stockholm, Sweden, June 23-26, 2020. ACM 2020, ISBN 978-1-4503-7052-3 [contents] - [i11]Zhe Wang, Pradeep Subedi, Shaohua Duan, Yubo Qin, Philip E. Davis, Anthony Simonet, Ivan Rodero, Manish Parashar:
Exploring Trade-offs in Dynamic Task Triggering for Loosely Coupled Scientific Workflows. CoRR abs/2004.10381 (2020) - [i10]Yubo Qin, Ivan Rodero, Anthony Simonet, Charles Meertens, Daniel Reiner, James Riley, Manish Parashar:
Leveraging User Access Patterns and Advanced Cyberinfrastructure to Accelerate Data Delivery from Shared-use Scientific Observatories. CoRR abs/2012.15321 (2020)
2010 – 2019
- 2019
- [j117]David Abramson, Manish Parashar:
Translational Research in Computer Science. Computer 52(9): 16-23 (2019) - [j116]Manish Parashar:
The Reproducibility Initiative. Computer 52(11): 7-8 (2019) - [j115]Daniel Balouek-Thomert, Eduard Gibert Renart, Ali Reza Zamani, Anthony Simonet, Manish Parashar:
Towards a computing continuum: Enabling edge-to-cloud integration for data-driven workflows. Int. J. High Perform. Comput. Appl. 33(6) (2019) - [j114]Edward Chuah, Arshad Jhumka, Samantha Alt, Daniel Balouek-Thomert, James C. Browne, Manish Parashar:
Towards comprehensive dependability-driven resource use and message log-analysis for HPC systems diagnosis. J. Parallel Distributed Comput. 132: 95-112 (2019) - [j113]Manish Parashar:
Editor's Note. IEEE Trans. Parallel Distributed Syst. 30(1): 1 (2019) - [j112]Manish Parashar:
Editor's Note. IEEE Trans. Parallel Distributed Syst. 30(8): 1687-1689 (2019) - [j111]Manish Parashar:
Editor's Note: IEEE Transactions on Parallel and Distributed Systems (TPDS) Reproducibility Initiative, June 2019. IEEE Trans. Parallel Distributed Syst. 30(8): 1690 (2019) - [c219]Xuan Hu, Jie Gong, Eduard Gibert Renart, Manish Parashar:
Two-Stage Framework for Big Spatial Data Analytics to Support Disaster Response. IEEE BigData 2019: 5409-5418 - [c218]Shouwei Chen, Wensheng Wang, Xueyang Wu, Zhen Fan, Kunwu Huang, Peiyu Zhuang, Yue Li, Ivan Rodero, Manish Parashar, Dennis Z. Weng:
Optimizing Performance and Computing Resource Management of In-memory Big Data Analytics with Disaggregated Persistent Memory. CCGRID 2019: 21-30 - [c217]Eduard Gibert Renart, Alexandre Da Silva Veith, Daniel Balouek-Thomert, Marcos Dias de Assunção, Laurent Lefèvre, Manish Parashar:
Distributed Operator Placement for IoT Data Analytics Across Edge and Cloud Resources. CCGRID 2019: 459-468 - [c216]Pradeep Subedi, Philip E. Davis, Manish Parashar:
Leveraging Machine Learning for Anticipatory Data Delivery in Extreme Scale In-situ Workflows. CLUSTER 2019: 1-11 - [c215]Yubo Qin, Anthony Simonet, Philip E. Davis, Azita Nouri, Zhe Wang, Manish Parashar, Ivan Rodero:
Towards a Smart, Internet-Scale Cache Service for Data Intensive Scientific Applications. ScienceCloud@HPDC 2019: 11-18 - [c214]Issam Raïs, Daniel Balouek-Thomert, Anne-Cécile Orgerie, Laurent Lefèvre, Manish Parashar:
Leveraging energy-efficient non-lossy compression for data-intensive applications. HPCS 2019: 463-469 - [c213]Eduard Gibert Renart, Daniel Balouek-Thomert, Manish Parashar:
An Edge-Based Framework for Enabling Data-Driven Pipelines for IoT Systems. IPDPS Workshops 2019: 885-894 - [c212]Edward Chuah, Arshad Jhumka, Samantha Alt, Juan J. Villalobos, Joshua Fryman, William Barth, Manish Parashar:
Using Resource Use Data and System Logs for HPC System Error Propagation and Recovery Diagnosis. ISPA/BDCloud/SocialCom/SustainCom 2019: 458-467 - [c211]Shaohua Duan, Pradeep Subedi, Philip E. Davis, Manish Parashar:
Addressing data resiliency for staging based scientific workflows. SC 2019: 87:1-87:22 - [i9]Eduard Gibert Renart, Daniel Balouek-Thomert, Manish Parashar:
Challenges in designing edge-based middlewares for the Internet of Things: A survey. CoRR abs/1912.06567 (2019) - 2018
- [j110]Ali Reza Zamani, Mengsong Zou, Javier Diaz Montes, Ioan Petri, Omer F. Rana, Manish Parashar:
A computational model to support in-network data analysis in federated ecosystems. Future Gener. Comput. Syst. 80: 342-354 (2018) - [j109]Yunbo Li, Anne-Cécile Orgerie, Ivan Rodero, Betsegaw Lemma Amersho, Manish Parashar, Jean-Marc Menaud:
End-to-end energy models for Edge Cloud-based IoT platforms: Application to data stream analysis in IoT. Future Gener. Comput. Syst. 87: 667-678 (2018) - [j108]Moustafa AbdelBaky, Javier Diaz Montes, Manish Parashar:
Software-defined environments for science and engineering. Int. J. High Perform. Comput. Appl. 32(1): 104-122 (2018) - [j107]Ewa Deelman, Tom Peterka, Ilkay Altintas, Christopher D. Carothers, Kerstin Kleese van Dam, Kenneth Moreland, Manish Parashar, Lavanya Ramakrishnan, Michela Taufer, Jeffrey S. Vetter:
The future of scientific workflows. Int. J. High Perform. Comput. Appl. 32(1): 159-175 (2018) - [j106]Manish Parashar, Franco Zambonelli:
Farewell Editorial. ACM Trans. Auton. Adapt. Syst. 12(4): 17:1-17:2 (2018) - [j105]Javier Diaz Montes, Manuel Diaz-Granados, Mengsong Zou, Shu Tao, Manish Parashar:
Supporting Data-Intensive Workflows in Software-Defined Federated Multi-Clouds. IEEE Trans. Cloud Comput. 6(1): 250-263 (2018) - [j104]Manish Parashar:
State of the Journal. IEEE Trans. Parallel Distributed Syst. 29(1): 1 (2018) - [c210]Jong Youl Choi, Choong-Seock Chang, Julien Dominski, Scott Klasky, Gabriele Merlo, Eric Suchyta, Mark Ainsworth, Bryce Allen, Franck Cappello, Michael Churchill, Philip E. Davis, Sheng Di, Greg Eisenhauer, Stéphane Ethier, Ian T. Foster, Berk Geveci, Hanqi Guo, Kevin A. Huck, Frank Jenko, Mark Kim, James Kress, Seung-Hoe Ku, Qing Liu, Jeremy Logan, Allen D. Malony, Kshitij Mehta, Kenneth Moreland, Todd S. Munson, Manish Parashar, Tom Peterka, Norbert Podhorszki, Dave Pugmire, Ozan Tugluk, Ruonan Wang, Ben Whitney, Matthew Wolf, Chad Wood:
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. eScience 2018: 442-452 - [c209]Manish Parashar:
Data Management, In-Situ Workflows and Extreme Scales. ROSS@HPDC 2018: 1:1 - [c208]Scott Klasky, Matthew Wolf, Mark Ainsworth, Chuck Atkins, Jong Choi, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Arthur B. Maccabe, Kshitij Mehta, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Eric Suchyta, Lipeng Wan, Ruonan Wang:
A View from ORNL: Scientific Data Research Opportunities in the Big Data Age. ICDCS 2018: 1357-1368 - [c207]Muhammad K. Ali, Ashiq Anjum, Muhammad Usman Yaseen, Ali Reza Zamani, Daniel Balouek-Thomert, Omer F. Rana, Manish Parashar:
Edge Enhanced Deep Learning System for Large-Scale Video Stream Analytics. ICFEC 2018: 1-10 - [c206]Manish Parashar:
HCW 2018 Keynote Talk 1. IPDPS Workshops 2018: 5 - [c205]Shaohua Duan, Pradeep Subedi, Keita Teranishi, Philip E. Davis, Hemanth Kolla, Marc Gamell, Manish Parashar:
Scalable Data Resilience for In-memory Data Staging. IPDPS 2018: 105-115 - [c204]Shadi Ibrahim, Manish Parashar, Anna Queralt, Domenico Talia:
Introduction to CEBDA 2018. IPDPS Workshops 2018: 1204 - [c203]Yubo Qin, Ivan Rodero, Pradeep Subedi, Manish Parashar, Sandro Rigo:
Exploring Power Budget Scheduling Opportunities and Tradeoffs for AMR-Based Applications. SBAC-PAD 2018: 57-64 - [c202]Ali Reza Zamani, Daniel Balouek-Thomert, Juan J. Villalobos, Ivan Rodero, Manish Parashar:
Runtime Management of Data Quality for Scientific Observatories Using Edge and In-Transit Resources. SBAC-PAD 2018: 274-281 - [c201]Pradeep Subedi, Philip E. Davis, Shaohua Duan, Scott Klasky, Hemanth Kolla, Manish Parashar:
Stacker: an autonomic data movement engine for extreme-scale data staging-based in-situ workflows. SC 2018: 73:1-73:11 - [c200]Ioan Petri, Ali Reza Zamani, Daniel Balouek-Thomert, Omer F. Rana, Yacine Rezgui, Manish Parashar:
Ensemble-Based Network Edge Processing. UCC 2018: 133-142 - [i8]Pradeep Subedi, Philip E. Davis, Juan J. Villalobos, Ivan Rodero, Manish Parashar:
Using Intel Optane Devices for In-situ Data Staging in HPC Workflows. CoRR abs/1807.09651 (2018) - [i7]Eduard Gibert Renart, Daniel Balouek-Thomert, Manish Parashar:
Edge Based Data-Driven Pipelines (Technical Report). CoRR abs/1808.01353 (2018) - 2017
- [j103]Luiz F. Bittencourt, Javier Diaz Montes, Rajkumar Buyya, Omer F. Rana, Manish Parashar:
Mobility-Aware Application Scheduling in Fog Computing. IEEE Cloud Comput. 4(2): 26-35 (2017) - [j102]Rafael Tolosana-Calasanz, Javier Diaz Montes, Omer F. Rana, Manish Parashar, Erotokritos Xydas, Charalampos E. Marmaras, Panagiotis Papadopoulos, Liana Cipcigan:
Computational resource management for data-driven applications with deadline constraints. Concurr. Comput. Pract. Exp. 29(8) (2017) - [j101]Fan Zhang, Tong Jin, Qian Sun, Melissa Romanus, Hoang Bui, Scott Klasky, Manish Parashar:
In-memory staging and data-centric task placement for coupled scientific simulation workflows. Concurr. Comput. Pract. Exp. 29(12) (2017) - [j100]Marc Gamell, Keita Teranishi, Hemanth Kolla, Jackson R. Mayo, Michael A. Heroux, Jacqueline Chen, Manish Parashar:
Scalable Failure Masking for Stencil Computations using Ghost Region Expansion and Cell to Rank Remapping. SIAM J. Sci. Comput. 39(5) (2017) - [j99]Rafael Tolosana-Calasanz, Javier Diaz Montes, Omer F. Rana, Manish Parashar:
Feedback-Control & Queueing Theory-Based Resource Management for Streaming Applications. IEEE Trans. Parallel Distributed Syst. 28(4): 1061-1075 (2017) - [j98]Marc Gamell, Keita Teranishi, Jackson R. Mayo, Hemanth Kolla, Michael A. Heroux, Jacqueline Chen, Manish Parashar:
Modeling and Simulating Multiple Failure Masking Enabled by Local Recovery for Stencil-Based Applications at Extreme Scales. IEEE Trans. Parallel Distributed Syst. 28(10): 2881-2895 (2017) - [j97]Ioan Petri, Javier Diaz Montes, Omer F. Rana, Magdalena Punceva, Ivan Rodero, Manish Parashar:
Modelling and Implementing Social Community Clouds. IEEE Trans. Serv. Comput. 10(3): 410-422 (2017) - [c199]Juan J. Villalobos, Ivan Rodero, Manish Parashar:
An Unsupervised Approach for Online Detection and Mitigation of High-Rate DDoS Attacks Based on an In-Memory Distributed Graph Using Streaming Data and Analytics. BDCAT 2017: 103-112 - [c198]Yunbo Li, Anne-Cécile Orgerie, Ivan Rodero, Manish Parashar, Jean-Marc Menaud:
Leveraging Renewable Energy in Edge Clouds for Data Stream Analysis in IoT. CCGrid 2017: 186-195 - [c197]Moustafa AbdelBaky, Javier Diaz Montes, Merve Unuvar, Melissa Romanus, Ivan Rodero, Malgorzata Steinder, Manish Parashar:
Enabling Distributed Software-Defined Environments Using Dynamic Infrastructure Service Composition. CCGrid 2017: 274-283 - [c196]Moustafa AbdelBaky, Javier Diaz Montes, Manish Parashar:
Towards Distributed Software-Defined Environments. CCGrid 2017: 703-706 - [c195]Jong Youl Choi, Jeremy Logan, Matthew Wolf, George Ostrouchov, Tahsin M. Kurç, Qing Liu, Norbert Podhorszki, Scott Klasky, Melissa Romanus, Qian Sun, Manish Parashar, Randy Michael Churchill, Choong-Seock Chang:
TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping. CLUSTER 2017: 587-591 - [c194]Eduard Gibert Renart, Daniel Balouek-Thomert, Xuan Hu, Jie Gong, Manish Parashar:
Online Decision-Making Using Edge Resources for Content-Driven Stream Processing. eScience 2017: 384-392 - [c193]Ali Reza Zamani, Moustafa AbdelBaky, Daniel Balouek-Thomert, Ivan Rodero, Manish Parashar:
Supporting Data-Driven Workflows Enabled by Large Scale Observatories. eScience 2017: 592-595 - [c192]Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, Zichao Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kurç, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo:
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par 2017: 3-19 - [c191]Ali Reza Zamani, Ioan Petri, Javier Diaz Montes, Omer F. Rana, Manish Parashar:
Edge-Supported Approximate Analysis for Long Running Computations. FiCloud 2017: 321-328 - [c190]Moustafa AbdelBaky, Mengsong Zou, Ali Reza Zamani, Eduard Gibert Renart, Javier Diaz Montes, Manish Parashar:
Computing in the Continuum: Combining Pervasive Devices and Services to Support Data-Driven Applications. ICDCS 2017: 1815-1824 - [c189]Scott Klasky, Eric Suchyta, Mark Ainsworth, Qing Liu, Ben Whitney, Matthew Wolf, Jong Youl Choi, Ian T. Foster, Mark Kim, Jeremy Logan, Kshitij Mehta, Todd S. Munson, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Lipeng Wan:
Exacution: Enhancing Scientific Data Management for Exascale. ICDCS 2017: 1927-1937 - [c188]Eduard Gibert Renart, Javier Diaz Montes, Manish Parashar:
Data-Driven Stream Processing at the Edge. ICFEC 2017: 31-40 - [c187]Mehmet Fatih Aktas, Javier Diaz Montes, Ivan Rodero, Manish Parashar:
WA-Dataspaces: Exploring the Data Staging Abstractions for Wide-Area Distributed Scientific Workflows. ICPP 2017: 251-260 - [c186]Daihou Wang, Eun-Sung Jung, Rajkumar Kettimuthu, Ian T. Foster, David J. Foran, Manish Parashar:
Supporting Real-Time Jobs on the IBM Blue Gene/Q: Simulation-Based Study. JSSPP 2017: 83-102 - [c185]Eduard Gibert Renart, Daniel Balouek-Thomert, Manish Parashar:
Pulsar: Enabling Dynamic Data-Driven IoT Applications. FAS*W@SASO/ICCAC 2017: 357-359 - [c184]Francesc-Xavier Puig, Juan J. Villalobos, Ivan Rodero, Manish Parashar:
Exploring the Potential of FreeBSD Virtualization in Containerized Environments. UCC 2017: 191-192 - [e25]Manish Parashar, Hemant Jain:
2017 IEEE International Congress on Internet of Things, ICIOT 2017, Honolulu, HI, USA, June 25-30, 2017. IEEE Computer Society 2017, ISBN 978-1-5386-2011-3 [contents] - 2016
- [j96]Javier Diaz Montes, Ioan Petri, Omer F. Rana, Manish Parashar:
Special Issue on Autonomic Clouds. IEEE Cloud Comput. 3(3): 26-29 (2016) - [j95]Mehmet Fatih Aktas, Georgiana Haldeman, Manish Parashar:
Scheduling and flexible control of bandwidth and in-transit services for end-to-end application workflows. Future Gener. Comput. Syst. 56: 284-294 (2016) - [c183]Mengsong Zou, Javier Diaz Montes, Kiran Nagaraja, Nimish Radia, Manish Parashar:
D3W: Towards Self-Management of Distributed Data-Driven Workflows with QoS Guarantees. CLOUD 2016: 148-155 - [c182]Ivan Rodero, Manish Parashar, Aaditya G. Landge, Sidharth Kumar, Valerio Pascucci, Peer-Timo Bremer:
Evaluation of In-Situ Analysis Strategies at Scale for Power Efficiency and Scalability. CCGrid 2016: 156-164 - [c181]Alejandro Pelaez, Andres Quiroz, Manish Parashar:
Dynamic Adaptation of Policies Using Machine Learning. CCGrid 2016: 501-510 - [c180]E. Wes Bethel, Martin Greenwald, Kerstin Kleese van Dam, Manish Parashar, Stefan M. Wild, H. Steven Wiley:
Management, analysis, and visualization of experimental and observational data - The convergence of data and computing. eScience 2016: 213-222 - [c179]Melissa Romanus, Fan Zhang, Tong Jin, Qian Sun, Hoang Bui, Manish Parashar, Jong Youl Choi, Saloman Janhunen, Robert Hager, Scott Klasky, Choong-Seock Chang, Ivan Rodero:
Persistent Data Staging Services for Data Intensive In-situ Scientific Workflows. DIDC@HPDC 2016: 37-44 - [c178]Jianwu Wang, Moustafa AbdelBaky, Javier Diaz Montes, Shweta Purawat, Manish Parashar, Ilkay Altintas:
Kepler + CometCloud: Dynamic Scientific Workflow Execution on Federated Cloud Resources. ICCS 2016: 700-711 - [c177]Marc Gamell, Daniel S. Katz, Keita Teranishi, Michael A. Heroux, Rob F. Van der Wijngaart, Timothy G. Mattson, Manish Parashar:
Evaluating Online Global Recovery with Fenix Using Application-Aware In-Memory Checkpointing Techniques. ICPP Workshops 2016: 346-355 - [c176]Qian Sun, Melissa Romanus, Tong Jin, Hongfeng Yu, Peer-Timo Bremer, Steve Petruzza, Scott Klasky, Manish Parashar:
In-Staging Data Placement for Asynchronous Coupling of Task-Based Scientific Workflows. ESPM2@SC 2016: 2-9 - [c175]Mengsong Zou, Ali Reza Zamani, Javier Diaz Montes, Ioan Petri, Omer F. Rana, Manish Parashar:
Leveraging In-Transit Computational Capabilities in Federated Ecosystems. SOSE 2016: 81-90 - [c174]Rafael Tolosana-Calasanz, Javier Diaz Montes, Luiz F. Bittencourt, Omer F. Rana, Manish Parashar:
Capacity management for streaming applications over cloud infrastructures with micro billing models. UCC 2016: 251-256 - [e24]Manish Parashar, Hemant K. Jain, Hai Jin:
2016 IEEE International Conference on Mobile Services, MS 2016, San Francisco, CA, USA, June 27 - July 2, 2016. IEEE Computer Society 2016, ISBN 978-1-5090-2625-8 [contents] - 2015
- [j94]K. Selçuk Candan, Christian S. Jensen, Manish Parashar, Kyung Dong Ryu, Heonyoung Yeom:
Cloud Engineering [Guest editors' introduction]. IEEE Cloud Comput. 2(5): 6-8 (2015) - [j93]Solomon Lasluisa, Fan Zhang, Tong Jin, Ivan Rodero, Hoang Bui, Manish Parashar:
In-situ feature-based objects tracking for data-intensive scientific and enterprise analytics workflows. Clust. Comput. 18(1): 29-40 (2015) - [j92]Magdalena Punceva, Ivan Rodero, Manish Parashar, Omer F. Rana, Ioan Petri:
Incentivising resource sharing in social clouds. Concurr. Comput. Pract. Exp. 27(6): 1483-1497 (2015) - [j91]Ciprian Docan, Fan Zhang, Tong Jin, Hoang Bui, Qian Sun, Julian C. Cummings, Norbert Podhorszki, Scott Klasky, Manish Parashar:
ActiveSpaces: Exploring dynamic code deployment for extreme scale data processing. Concurr. Comput. Pract. Exp. 27(14): 3724-3745 (2015) - [j90]Georgiana Haldeman, Ivan Rodero, Manish Parashar, Sabela Ramos, Eddy Z. Zhang, Ulrich Kremer:
Exploring energy-performance-quality tradeoffs for scientific workflows with in-situ data analyses. Comput. Sci. Res. Dev. 30(2): 207-218 (2015) - [j89]Guido Araujo, Jean-Luc Gaudiot, Manish Parashar, Derek Chiou, José Nelson Amaral, Chita R. Das:
Guest Editorial: SBAC-PAD 2013. Int. J. Parallel Program. 43(6): 961-964 (2015) - [j88]Javier Diaz Montes, Moustafa AbdelBaky, Mengsong Zou, Manish Parashar:
CometCloud: Enabling Software-Defined Federations for End-to-End Application Workflows. IEEE Internet Comput. 19(1): 69-73 (2015) - [j87]Ioan Petri, Javier Diaz Montes, Mengsong Zou, Tom Beach, Omer F. Rana, Manish Parashar:
Market Models for Federated Clouds. IEEE Trans. Cloud Comput. 3(3): 398-410 (2015) - [j86]Thomas H. Beach, Omer F. Rana, Yacine Rezgui, Manish Parashar:
Governance Model for Cloud Computing in Building Information Management. IEEE Trans. Serv. Comput. 8(2): 314-327 (2015) - [c173]Manish Parashar, Moustafa AbdelBaky, Mengsong Zou, Ali Reza Zamani, Javier Diaz Montes:
Realizing the Potential of IoT Using Software-Defined Ecosystems. CLOUD 2015: 1149-1158 - [c172]Manuel Diaz-Granados, Javier Diaz Montes, Manish Parashar:
Investigating insurance fraud using social media. IEEE BigData 2015: 1344-1349 - [c171]Ioan Petri, Mengsong Zou, Ali Reza Zamani, Javier Diaz Montes, Omer F. Rana, Manish Parashar:
Integrating Software Defined Networks within a Cloud Federation. CCGRID 2015: 179-188 - [c170]Moustafa AbdelBaky, Javier Diaz Montes, Mengsong Zou, Manish Parashar:
A Framework for Realizing Software-Defined Federations for Scientific Workflows. BigSystem@HPDC 2015: 7-14 - [c169]Marc Gamell, Keita Teranishi, Michael A. Heroux, Jackson R. Mayo, Hemanth Kolla, Jacqueline Chen, Manish Parashar:
Exploring Failure Recovery for Stencil-based Applications at Extreme Scales. HPDC 2015: 279-282 - [c168]Daihou Wang, David J. Foran, Xin Qi, Manish Parashar:
HetroCV: Auto-tuning Framework and Runtime for Image Processing and Computer Vision Applications on Heterogeneous Platform. ICPP Workshops 2015: 119-128 - [c167]Ioan Petri, Javier Diaz Montes, Omer F. Rana, Yacine Rezgui, Manish Parashar, Luiz F. Bittencourt:
Coordinating Data Analysis and Management in Multi-layered Clouds. IoT 360 (1) 2015: 357-366 - [c166]Tong Jin, Fan Zhang, Qian Sun, Hoang Bui, Melissa Romanus, Norbert Podhorszki, Scott Klasky, Hemanth Kolla, Jacqueline Chen, Robert Hager, Choong-Seock Chang, Manish Parashar:
Exploring Data Staging Across Deep Memory Hierarchies for Coupled Data Intensive Simulation Workflows. IPDPS 2015: 1033-1042 - [c165]Thomas Hérault, Aurélien Bouteiller, George Bosilca, Marc Gamell, Keita Teranishi, Manish Parashar, Jack J. Dongarra:
Practical scalable consensus for pseudo-synchronous distributed systems. SC 2015: 31:1-31:12 - [c164]Qian Sun, Tong Jin, Melissa Romanus, Hoang Bui, Fan Zhang, Hongfeng Yu, Hemanth Kolla, Scott Klasky, Jacqueline Chen, Manish Parashar:
Adaptive data placement for staging-based coupled scientific workflows. SC 2015: 65:1-65:12 - [c163]Marc Gamell, Keita Teranishi, Michael A. Heroux, Jackson R. Mayo, Hemanth Kolla, Jacqueline Chen, Manish Parashar:
Local recovery and failure masking for stencil-based applications at extreme scales. SC 2015: 70:1-70:12 - [c162]Moustafa AbdelBaky, Javier Diaz Montes, Manish Parashar, Merve Unuvar, Malgorzata Steinder:
Docker Containers across Multiple Clouds and Data Centers. UCC 2015: 368-371 - [e23]Dennis Gannon, Chung-Sheng Li, Manish Parashar, Xiaolin Andy Li, Kuang-Ching Wang, Rich Wolski:
Proceedings of the 2nd International Workshop on Software-Defined Ecosystems, BigSystem 2015, Portland, Oregon, USA, June 16, 2015. ACM 2015, ISBN 978-1-4503-3568-3 [contents] - [e22]Manish Parashar, Tirumale Ramesh, Jaric Zola, Nanjangud C. Narendra, Kishore Kothapalli, Joseph Amudha, Purushotham V. Bangalore, Deepa Gupta, Animesh Pathak, Sanjay Chaudhary, K. V. Dinesha, Sushil K. Prasad:
Eighth International Conference on Contemporary Computing, IC3 2015, Noida, India, August 20-22, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-7947-2 [contents] - [i6]Melissa Romanus, Robert B. Ross, Manish Parashar:
Challenges and Considerations for Utilizing Burst Buffers in High-Performance Computing. CoRR abs/1509.05492 (2015) - 2014
- [j85]Xin Qi, Daihou Wang, Ivan Rodero, Javier Diaz Montes, Rebekah H. Gensure, Fuyong Xing, Hua Zhong, Lauri A. Goodell, Manish Parashar, David J. Foran, Lin Yang:
Content-based histopathology image retrieval using CometCloud. BMC Bioinform. 15: 287 (2014) - [j84]Kate Keahey, Manish Parashar:
Enabling On-Demand Science via Cloud Computing. IEEE Cloud Comput. 1(1): 21-27 (2014) - [j83]Laurence T. Yang, Bernady O. Apduhan, Tadashi Dohi, Manish Parashar:
Guest editorial - Special issue on autonomic and trusted computing. Computing 96(10): 923-924 (2014) - [j82]Fan Zhang, Ciprian Docan, Hoang Bui, Manish Parashar, Scott Klasky:
XpressSpace: a programming framework for coupling partitioned global address space simulation codes. Concurr. Comput. Pract. Exp. 26(3): 644-661 (2014) - [j81]Qing Liu, Jeremy Logan, Yuan Tian, Hasan Abbasi, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Roselyne Tchoua, Jay F. Lofstead, Ron A. Oldfield, Manish Parashar, Nagiza F. Samatova, Karsten Schwan, Arie Shoshani, Matthew Wolf, Kesheng Wu, Weikuan Yu:
Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks. Concurr. Comput. Pract. Exp. 26(7): 1453-1473 (2014) - [j80]Ruppa K. Thulasiram, Manish Parashar:
Special issue on computational finance. Concurr. Comput. Pract. Exp. 26(9): 1607-1608 (2014) - [j79]Manish Parashar, George K. Thiruvathukal:
Extreme Data. Comput. Sci. Eng. 16(4): 8-10 (2014) - [j78]Javier Diaz Montes, Yu Xie, Ivan Rodero, Jaroslaw Zola, Baskar Ganapathysubramanian, Manish Parashar:
Federated Computing for the Masses-Aggregating Resources to Tackle Large-Scale Engineering Problems. Comput. Sci. Eng. 16(4): 62-72 (2014) - [j77]Bharadwaj Veeravalli, Manish Parashar:
Guest Editors' Introduction: Special Issue on Cloud of Clouds. IEEE Trans. Computers 63(1): 1-2 (2014) - [c161]Javier Diaz Montes, Mengsong Zou, Rahul Singh, Shu Tao, Manish Parashar:
Data-Driven Workflows in Multi-cloud Marketplaces. IEEE CLOUD 2014: 168-175 - [c160]Ioan Petri, Omer F. Rana, Yacine Rezgui, Haijiang Li, Tom Beach, Mengsong Zou, Javier Diaz Montes, Manish Parashar:
Cloud Supported Building Data Analytics. CCGRID 2014: 641-650 - [c159]Tong Jin, Fan Zhang, Qian Sun, Hoang Bui, Norbert Podhorszki, Scott Klasky, Hemanth Kolla, Jacqueline Chen, Robert Hager, Choong-Seock Chang, Manish Parashar:
Leveraging deep memory hierarchies for data staging in coupled data-intensive simulation workflows. CLUSTER 2014: 268-269 - [c158]Moustafa AbdelBaky, Javier Diaz Montes, Michael Johnston, Vipin Sachdeva, Richard L. Anderson, Kirk E. Jordan, Manish Parashar:
Exploring HPC-based scientific software as a service using CometCloud. CollaborateCom 2014: 35-44 - [c157]Mengsong Zou, Javier Diaz Montes, Ivan Rodero, Manish Parashar, Ioan Petri, Omer F. Rana, Xin Qi, David J. Foran:
Collaborative marketplaces for eScience: A medical imaging use case. CTS 2014: 500-506 - [c156]Alejandro Pelaez, Andres Quiroz, James C. Browne, Edward Chuah, Manish Parashar:
Online failure prediction for HPC resources using decentralized clustering. HiPC 2014: 1-9 - [c155]Manish Parashar:
Big data challenges in simulation-based science. DICT@HPDC 2014: 1-2 - [c154]Javier Diaz Montes, Moustafa AbdelBaky, Mengsong Zou, Manish Parashar:
Software defined federated cyber-infrastructure for science and engineering. BigSystem@HPDC 2014: 9-12 - [c153]Ioan Petri, Tom Beach, Mengsong Zou, Javier Diaz Montes, Omer F. Rana, Manish Parashar:
Exploring Models and Mechanisms for Exchanging Resources in a Federated Cloud. IC2E 2014: 215-224 - [c152]Juan J. Villalobos, Ivan Rodero, Manish Parashar:
Energy-Aware Autonomic Framework for Cloud Protection and Self-Healing. ICCAC 2014: 3-4 - [c151]Rafael Tolosana-Calasanz, Javier Diaz Montes, Omer F. Rana, Manish Parashar:
Extending CometCloud to Process Dynamic Data Streams on Heterogeneous Infrastructures. ICCAC 2014: 196-205 - [c150]Mehmet Fatih Aktas, Georgiana Haldeman, Manish Parashar:
Flexible scheduling and control of bandwidth and in-transit services for end-to-end application workflows. NDM@SC 2014: 28-31 - [c149]Marc Gamell, Daniel S. Katz, Hemanth Kolla, Jacqueline Chen, Scott Klasky, Manish Parashar:
Exploring Automatic, Online Failure Recovery for Scientific Applications at Extreme Scales. SC 2014: 895-906 - [c148]Manish Parashar, Omer F. Rana:
Autonomic Clouds. UCC 2014: 539-540 - [p7]Javier Diaz Montes, Ivan Rodero, Mengsong Zou, Manish Parashar:
Federating Advanced Cyberinfrastructures with Autonomic Capabilities. Cloud Computing for Data-Intensive Applications 2014: 201-227 - [e21]Geoffrey C. Fox, Manish Parashar, Chung-Sheng Li, Xiaolin Andy Li:
BigSystem'14, Proceedings of the 2014 ACM HPDC International Workshop on Software-Defined Ecosystems, Vancouver, BC, Canada, June 23-27, 2014. ACM 2014, ISBN 978-1-4503-2909-5 [contents] - [e20]Manish Parashar, Umesh Bellur, S. D. Madhu Kumar, Priya Chandran, Murali Krishnan, Kamesh Madduri, Sushil K. Prasad, C. Chandra Sekhar, Nanjangud C. Narendra, Carlos Valera, Sanjay Chaudhary, Kavi Arya, Xiaolin Li:
Seventh International Conference on Contemporary Computing, IC3 2014, Noida, India, August 7-9, 2014. IEEE Computer Society 2014, ISBN 978-1-4799-5172-7 [contents] - [i5]Daniel S. Katz, Gabrielle Allen, Neil P. Chue Hong, Karen Cranston, Manish Parashar, David Proctor, Matthew J. Turk, Colin C. Venters, Nancy Wilkins-Diehr:
Second Workshop on on Sustainable Software for Science: Practice and Experiences (WSSSPE2): Submission, Peer-Review and Sorting Process, and Results. CoRR abs/1411.3464 (2014) - 2013
- [j76]Shantenu Jha, Murray Cole, Daniel S. Katz, Manish Parashar, Omer F. Rana, Jon B. Weissman:
Distributed computing practice for large-scale science and engineering applications. Concurr. Comput. Pract. Exp. 25(11): 1559-1585 (2013) - [j75]George K. Thiruvathukal, Manish Parashar:
Cloud Computing. Comput. Sci. Eng. 15(4): 8-9 (2013) - [j74]Manish Parashar, Moustafa AbdelBaky, Ivan Rodero, Aditya Devarakonda:
Cloud Paradigms and Practices for Computational and Data-Enabled Science and Engineering. Comput. Sci. Eng. 15(4): 10-18 (2013) - [j73]Thomas H. Beach, Omer F. Rana, Yacine Rezgui, Manish Parashar:
Cloud computing for the architecture, engineering & construction sector: requirements, prototype & experience. J. Cloud Comput. 2: 8 (2013) - [j72]Ivan Rodero, Manish Parashar:
Introduction to special section on Green High Performance Computing (Green HPC). Sustain. Comput. Informatics Syst. 3(2): 47-48 (2013) - [j71]Manish Parashar, Franco Zambonelli:
Editorial. ACM Trans. Auton. Adapt. Syst. 8(1): 1:1-1:3 (2013) - [c147]Hrishikesh Gadre, Ivan Rodero, Javier Diaz Montes, Manish Parashar:
A case for MapReduce over the internet. CAC 2013: 8:1-8:10 - [c146]Javier Diaz Montes, Mengsong Zou, Ivan Rodero, Manish Parashar:
Enabling autonomic computing on federated advanced cyberinfrastructures. CAC 2013: 20:1-20:2 - [c145]Roselyne Tchoua, Jong Youl Choi, Scott Klasky, Qing Liu, Jeremy Logan, Kenneth Moreland, Jingqing Mu, Manish Parashar, Norbert Podhorszki, David Pugmire, Matthew Wolf:
ADIOS Visualization Schema: A First Step Towards Improving Interdisciplinary Collaboration in High Performance Computing. e-Science 2013: 27-34 - [c144]Marc Gamell, Ivan Rodero, Manish Parashar, Stephen W. Poole:
Exploring energy and performance behaviors of data-intensive scientific workflows on systems with deep memory hierarchies. HiPC 2013: 226-235 - [c143]Tong Jin, Fan Zhang, Qian Sun, Hoang Bui, Manish Parashar, Hongfeng Yu, Scott Klasky, Norbert Podhorszki, Hasan Abbasi:
Using cross-layer adaptations for dynamic data management in large scale coupled scientific workflows. SC 2013: 74:1-74:12 - [c142]Marc Gamell, Ivan Rodero, Manish Parashar, Janine Bennett, Hemanth Kolla, Jacqueline Chen, Peer-Timo Bremer, Aaditya G. Landge, Attila Gyulassy, Patrick S. McCormick, Scott Pakin, Valerio Pascucci, Scott Klasky:
Exploring power behaviors and trade-offs of in-situ data analytics. SC 2013: 77:1-77:12 - [c141]Ioan Petri, Tom Beach, Mengsong Zou, Javier Diaz Montes, Omer F. Rana, Manish Parashar:
A Federated CometCloud Infrastructure to Support Resource Sharing. UCC 2013: 313-314 - [e19]Manish Parashar, Jon B. Weissman, Dick H. J. Epema, Renato J. O. Figueiredo:
The 22nd International Symposium on High-Performance Parallel and Distributed Computing, HPDC'13, New York, NY, USA - June 17 - 21, 2013. ACM 2013, ISBN 978-1-4503-1910-2 [contents] - [e18]Frédéric Desprez, Adrien Lèbre, Manish Parashar:
Proceedings of the 7th International Workshop on Virtualization Technologies in Distributed Computing, VTDC@HPDC 2014, New York, NY, USA, June 18, 2013. ACM 2013, ISBN 978-1-4503-1985-0 [contents] - [e17]Manish Parashar, Albert Y. Zomaya, Jianer Chen, Jiannong Cao, Pascal Bouvry, Sushil K. Prasad:
Sixth International Conference on Contemporary Computing, IC3 2013, Noida, India, August 8-10, 2013. IEEE 2013, ISBN 978-1-4799-0192-0 [contents] - [i4]Ivan Rodero, Manish Parashar:
Cross-layer Application-aware Power/Energy Management for Extreme Scale Science. CoRR abs/1304.2840 (2013) - [i3]Shel Swenson, Yogesh Simmhan, Viktor K. Prasanna, Manish Parashar, E. Jason Riedy, David A. Bader, Richard W. Vuduc:
Sustainable Software Development for Next-Gen Sequencing (NGS) Bioinformatics on Emerging Platforms. CoRR abs/1309.1828 (2013) - [i2]Daniel S. Katz, Gabrielle Allen, Neil P. Chue Hong, Manish Parashar, David Proctor:
First Workshop on on Sustainable Software for Science: Practice and Experiences (WSSSPE): Submission and Peer-Review Process, and Results. CoRR abs/1311.3523 (2013) - 2012
- [j70]Ciprian Docan, Manish Parashar, Scott Klasky:
DataSpaces: an interaction and coordination framework for coupled simulation workflows. Clust. Comput. 15(2): 163-181 (2012) - [j69]Moustafa AbdelBaky, Manish Parashar, Hyunjoo Kim, Kirk E. Jordan, Vipin Sachdeva, James C. Sexton, Hani Jamjoom, Zon-Yin Shae, Gergina Pencheva, Reza Tavakoli, Mary F. Wheeler:
Enabling High-Performance Computing as a Service. Computer 45(10): 72-80 (2012) - [j68]Rajiv Ranjan, Rajkumar Buyya, Manish Parashar:
Special section on autonomic cloud computing: technologies, services, and applications. Concurr. Comput. Pract. Exp. 24(9): 935-937 (2012) - [j67]Ivan Rodero, Hariharasudhan Viswanathan, Eun Kyung Lee, Marc Gamell, Dario Pompili, Manish Parashar:
Energy-Efficient Thermal-Aware Autonomic Management of Virtualized HPC Cloud Infrastructure. J. Grid Comput. 10(3): 447-473 (2012) - [j66]David Villegas, Norman Bobroff, Ivan Rodero, Javier Delgado, Yanbin Liu, Aditya Devarakonda, Liana Fong, Seyed Masoud Sadjadi, Manish Parashar:
Cloud federation in a layered service model. J. Comput. Syst. Sci. 78(5): 1330-1344 (2012) - [j65]Andres Quiroz, Manish Parashar, Nathan Gnanasambandam, Naveen Sharma:
Design and evaluation of decentralized online clustering. ACM Trans. Auton. Adapt. Syst. 7(3): 34:1-34:31 (2012) - [j64]Eun Kyung Lee, Indraneel S. Kulkarni, Dario Pompili, Manish Parashar:
Proactive thermal management in green datacenters. J. Supercomput. 60(2): 165-195 (2012) - [c140]Moustafa AbdelBaky, Hyunjoo Kim, Ivan Rodero, Manish Parashar:
Accelerating MapReduce Analytics Using CometCloud. IEEE CLOUD 2012: 447-454 - [c139]Jong Youl Choi, Hasan Abbasi, David Pugmire, Norbert Podhorszki, Scott Klasky, Cristian Capdevila, Manish Parashar, Matthew Wolf, Judy Qiu, Geoffrey C. Fox:
Mining hidden mixture context with ADIOS-P to improve predictive pre-fetcher accuracy. eScience 2012: 1-8 - [c138]Jeremy Logan, Scott Klasky, Hasan Abbasi, Qing Liu, George Ostrouchov, Manish Parashar, Norbert Podhorszki, Yuan Tian, Matthew Wolf:
Understanding I/O Performance Using I/O Skeletal Applications. Euro-Par 2012: 77-88 - [c137]Tong Jin, Fan Zhang, Manish Parashar, Scott Klasky, Norbert Podhorszki, Hasan Abbasi:
A scalable messaging system for accelerating discovery from large scale scientific simulations. HiPC 2012: 1-10 - [c136]Marc Gamell, Ivan Rodero, Manish Parashar, Rajeev Muralidhar:
Exploring cross-layer power management for PGAS applications on the SCC platform. HPDC 2012: 235-246 - [c135]Fan Zhang, Ciprian Docan, Manish Parashar, Scott Klasky, Norbert Podhorszki, Hasan Abbasi:
Enabling In-situ Execution of Coupled Scientific Workflow on Multi-core Platform. IPDPS 2012: 1352-1363 - [c134]Janine Bennett, Hasan Abbasi, Peer-Timo Bremer, Ray W. Grout, Attila Gyulassy, Tong Jin, Scott Klasky, Hemanth Kolla, Manish Parashar, Valerio Pascucci, Philippe P. Pébay, David C. Thompson, Hongfeng Yu, Fan Zhang, Jacqueline Chen:
Combining in-situ and in-transit processing to enable extreme-scale scientific analysis. SC 2012: 49 - [c133]Fan Zhang, Solomon Lasluisa, Tong Jin, Ivan Rodero, Hoang Bui, Manish Parashar:
In-situ Feature-Based Objects Tracking for Large-Scale Scientific Simulations. SC Companion 2012: 736-740 - [c132]Magdalena Punceva, Ivan Rodero, Manish Parashar, Omer F. Rana, Ioan Petri:
Incentivising Resource Sharing in Social Clouds. WETICE 2012: 185-190 - [p6]Hank Childs, Kwan-Liu Ma, Hongfeng Yu, Brad Whitlock, Jeremy S. Meredith, Jean M. Favre, Scott Klasky, Norbert Podhorszki, Karsten Schwan, Matthew Wolf, Manish Parashar, Fan Zhang:
In Situ Processing. High Performance Visualization 2012 - [e16]Louise E. Moser, Manish Parashar, Patrick C. K. Hung:
2012 IEEE Ninth International Conference on Services Computing, Honolulu, HI, USA, June 24-29, 2012. IEEE Computer Society 2012, ISBN 978-1-4673-3049-7 [contents] - [e15]Manish Parashar, Dinesh K. Kaushik, Omer F. Rana, Ravi Samtaney, Yuanyuan Yang, Albert Y. Zomaya:
Contemporary Computing - 5th International Conference, IC3 2012, Noida, India, August 6-8, 2012. Proceedings. Communications in Computer and Information Science 306, Springer 2012, ISBN 978-3-642-32128-3 [contents] - [r2]Ivan Rodero, Manish Parashar, Andres Quiroz, Francesc Guim, Stephen W. Poole:
Energy-Efficient Online Provisioning for HPC Workloads. Handbook of Energy-Aware and Green Computing 2012: 795-816 - [i1]Daniel S. Katz, Shantenu Jha, Manish Parashar, Omer F. Rana, Jon B. Weissman:
Survey and Analysis of Production Distributed Computing Infrastructures. CoRR abs/1208.2649 (2012) - 2011
- [j63]Manish Parashar:
Special issue: sixth international conference on autonomic computing and communications (ICAC 2009). Clust. Comput. 14(3): 211 (2011) - [j62]Hrishikesh Gadre, Ivan Rodero, Manish Parashar:
Investigating MapReduce framework extensions for efficient processing of geographically scattered datasets. SIGMETRICS Perform. Evaluation Rev. 39(3): 116-118 (2011) - [j61]Hyunjoo Kim, Yaakoub El Khamra, Ivan Rodero, Shantenu Jha, Manish Parashar:
Autonomic management of application workflows on hybrid computing infrastructure. Sci. Program. 19(2-3): 75-89 (2011) - [j60]Manish Parashar, Franco Zambonelli:
Editorial. ACM Trans. Auton. Adapt. Syst. 6(4): 29:1-29:2 (2011) - [c131]Fan Zhang, Ciprian Docan, Manish Parashar, Scott Klasky:
Enabling Multi-physics Coupled Simulations within the PGAS Programming Framework. CCGRID 2011: 84-93 - [c130]Jeremy Logan, Scott Klasky, Jay F. Lofstead, Hasan Abbasi, Stéphane Ethier, Ray W. Grout, Seung-Hoe Ku, Qing Liu, Xiaosong Ma, Manish Parashar, Norbert Podhorszki, Karsten Schwan, Matthew Wolf:
Skel: Generative Software for Producing Skeletal I/O Applications. e-Science Workshops 2011: 191-198 - [c129]Karthik Elangovan, Ivan Rodero, Manish Parashar, Francesc Guim, Isaac Hernandez:
Adaptive memory power management techniques for HPC workloads. HiPC 2011: 1-11 - [c128]Ciprian Docan, Manish Parashar, Julian Cummings, Scott Klasky:
Moving the Code to the Data - Dynamic Code Deployment Using ActiveSpaces. IPDPS 2011: 758-769 - [c127]Hariharasudhan Viswanathan, Eun Kyung Lee, Ivan Rodero, Dario Pompili, Manish Parashar, Marc Gamell:
Energy-Aware Application-Centric VM Allocation for HPC Workloads. IPDPS Workshops 2011: 890-897 - [c126]Sushil K. Prasad, Almadena Yu. Chtchelkanova, Sajal K. Das, Frank Dehne, Mohamed G. Gouda, Anshul Gupta, Joseph F. JáJá, Krishna Kant, Anita La Salle, Richard LeBlanc, Manish Lumsdaine, David A. Padua, Manish Parashar, Viktor K. Prasanna, Yves Robert, Arnold L. Rosenberg, Sartaj Sahni, Behrooz A. Shirazi, Alan Sussman, Charles C. Weems, Jie Wu:
NSF/IEEE-TCPP curriculum initiative on parallel and distributed computing: core topics for undergraduates. SIGCSE 2011: 617-618 - [e14]Ling Liu, Manish Parashar:
IEEE International Conference on Cloud Computing, CLOUD 2011, Washington, DC, USA, 4-9 July, 2011. IEEE Computer Society 2011, ISBN 978-1-4577-0836-7 [contents] - [e13]Srinivas Aluru, Sanghamitra Bandyopadhyay, Ümit V. Çatalyürek, Devdatt P. Dubhashi, Phillip H. Jones, Manish Parashar, Bertil Schmidt:
Contemporary Computing - 4th International Conference, IC3 2011, Noida, India, August 8-10, 2011. Proceedings. Communications in Computer and Information Science 168, Springer 2011, ISBN 978-3-642-22605-2 [contents] - 2010
- [j59]Guangsen Zhang, Manish Parashar:
Cooperative detection and protection against network attacks using decentralized information sharing. Clust. Comput. 13(1): 67-86 (2010) - [j58]Ciprian Docan, Manish Parashar, Scott Klasky:
Enabling high-speed asynchronous data extraction and transfer using DART. Concurr. Comput. Pract. Exp. 22(9): 1181-1204 (2010) - [j57]Nanyan Jiang, Manish Parashar:
A programming system for sensor-based scientific applications. J. Comput. Sci. 1(4): 206-220 (2010) - [c125]Ciprian Docan, Fan Zhang, Manish Parashar, Julian Cummings, Norbert Podhorszki, Scott Klasky:
Experiments with Memory-to-Memory Coupling for End-to-End Fusion Simulation Workflows. CCGRID 2010: 293-301 - [c124]Yaakoub El Khamra, Hyunjoo Kim, Shantenu Jha, Manish Parashar:
Exploring the Performance Fluctuations of HPC Workloads on Clouds. CloudCom 2010: 383-387 - [c123]Ivan Rodero, Juan Jaramillo, Andres Quiroz, Manish Parashar, Francesc Guim, Stephen Poole:
Energy-efficient application-aware online provisioning for virtualized clouds and data centers. Green Computing Conference 2010: 31-45 - [c122]Ivan Rodero, Eun Kyung Lee, Dario Pompili, Manish Parashar, Marc Gamell, Renato J. O. Figueiredo:
Towards energy-efficient reactive thermal management in instrumented datacenters. GRID 2010: 321-328 - [c121]Ivan Rodero, Sharat Chandra, Manish Parashar, Rajeev Muralidhar, Harinarayanan Seshadri, Stephen Poole:
Investigating the potential of application-centric aggressive power management for HPC workloads. HiPC 2010: 1-10 - [c120]Francesc Guim, Ivan Rodero, Julita Corbalán, Manish Parashar:
Enabling GPU and Many-Core Systems in Heterogeneous HPC Environments Using Memory Considerations. HPCC 2010: 146-155 - [c119]Ciprian Docan, Manish Parashar, Scott Klasky:
DataSpaces: an interaction and coordination framework for coupled simulation workflows. HPDC 2010: 25-36 - [c118]Ivan Rodero, Juan Jaramillo, Andres Quiroz, Manish Parashar, Francesc Guim:
Towards energy-aware autonomic provisioning for virtualized environments. HPDC 2010: 320-323 - [c117]Hyunjoo Kim, Yaakoub El Khamra, Shantenu Jha, Manish Parashar:
Exploring application and infrastructure adaptation on hybrid grid-cloud infrastructure. HPDC 2010: 402-412 - [c116]Andres Quiroz, Manish Parashar, Nathan Gnanasambandam, Naveen Sharma:
Autonomic policy adaptation using decentralized online clustering. ICAC 2010: 151-160 - [c115]Manish Parashar, Luc Bougé:
Message from PhD Forum Organizers. IPDPS Workshops 2010: 1-2 - [c114]Andres Quiroz, Manish Parashar, Ivan Rodero:
Autonomic management of distributed systems using online clustering. IPDPS Workshops 2010: 1-4 - [c113]Mingliang Wang, Manish Parashar:
Object-oriented stream programming using aspects. IPDPS 2010: 1-11 - [c112]Fang Zheng, Hasan Abbasi, Ciprian Docan, Jay F. Lofstead, Qing Liu, Scott Klasky, Manish Parashar, Norbert Podhorszki, Karsten Schwan, Matthew Wolf:
PreDatA - preparatory data analytics on peta-scale machines. IPDPS 2010: 1-12 - [c111]Julian Cummings, Jay F. Lofstead, Karsten Schwan, Alexander Sim, Arie Shoshani, Ciprian Docan, Manish Parashar, Scott Klasky, Norbert Podhorszki, Roselyne Barreto:
EFFIS: An End-to-end Framework for Fusion Integrated Simulation. PDP 2010: 428-434 - [p5]David Villegas, Ivan Rodero, Liana Fong, Norman Bobroff, Yanbin Liu, Manish Parashar, Seyed Masoud Sadjadi:
The Role of Grid Computing Technologies in Cloud Computing. Handbook of Cloud Computing 2010: 183-218 - [p4]Rajiv Ranjan, Liang Zhao, Xiaomin Wu, Anna Liu, Andres Quiroz, Manish Parashar:
Peer-to-Peer Cloud Provisioning: Service Discovery and Load-Balancing. Cloud Computing 2010: 195-217 - [e12]Athanasios V. Vasilakos, Manish Parashar, Stamatis Karnouskos, Witold Pedrycz:
Autonomic Communication. Springer 2010, ISBN 978-0-387-09752-7 [contents] - [e11]Manish Parashar, Renato J. O. Figueiredo, Emre Kiciman:
Proceedings of the 7th International Conference on Autonomic Computing, ICAC 2010, Washington, DC, USA, June 7-11, 2010. ACM 2010, ISBN 978-1-4503-0074-2 [contents]
2000 – 2009
- 2009
- [j56]Andres Quiroz, Nathan Gnanasambandam, Manish Parashar, Naveen Sharma:
Robust clustering analysis for the management of self-monitoring distributed systems. Clust. Comput. 12(1): 73-85 (2009) - [j55]Xiaolin Li, Xinxin Liu, Han Zhao, Huanyu Zhao, Nanyan Jiang, Manish Parashar:
ASGrid: autonomic management of hybrid sensor grid systems and applications. Int. J. Sens. Networks 6(3/4): 234-250 (2009) - [c110]Hyunjoo Kim, Shivangi Chaudhari, Manish Parashar, Christopher Marty:
Online Risk Analytics on the Cloud. CCGRID 2009: 484-489 - [c109]Hyunjoo Kim, Yaakoub El Khamra, Shantenu Jha, Manish Parashar:
An Autonomic Approach to Integrated HPC Grid and Cloud Usage. eScience 2009: 366-373 - [c108]Shantenu Jha, Daniel S. Katz, Manish Parashar, Omer F. Rana, Jon B. Weissman:
Critical perspectives on large-scale distributed applications and production Grids. GRID 2009: 1-8 - [c107]Hyunjoo Kim, Manish Parashar, David J. Foran, Lin Yang:
Investigating the use of autonomic cloudbursts for high-throughput medical image registration. GRID 2009: 34-41 - [c106]Andres Quiroz, Hyunjoo Kim, Manish Parashar, Nathan Gnanasambandam, Naveen Sharma:
Towards autonomic workload provisioning for enterprise Grids and clouds. GRID 2009: 50-57 - [c105]Nanyan Jiang, Manish Parashar:
Enabling End-to-End Data-Driven Sensor-Based Scientific and Engineering Applications. ICCS (2) 2009: 449-459 - [c104]Mingliang Wang, Hector Klie, Manish Parashar, Hari Sudan:
Solving Sparse Linear Systems on NVIDIA Tesla GPUs. ICCS (1) 2009: 864-873 - [c103]Julie A. McCann, Manish Parashar, Omer F. Rana, Luca Foschini, Tim Kindberg:
Is cloud computing essential to the future of pervasive services? ICPS 2009: 147-148 - [c102]Ciprian Docan, Manish Parashar, Christopher Marty:
Advanced risk analytics on the cell broadband engine. IPDPS 2009: 1-8 - [c101]Nanyan Jiang, Manish Parashar:
Enabling autonomic power-aware management of instrumented data centers. IPDPS 2009: 1-8 - [c100]Mukul Majmudar, Ciprian Docan, Manish Parashar, Christopher Marty:
Cost vs. performance of VaR on accelerator platforms. SC-WHPCF 2009 - [c99]Norbert Podhorszki, Scott Klasky, Qing Liu, Ciprian Docan, Manish Parashar, Hasan Abbasi, Jay F. Lofstead, Karsten Schwan, Matthew Wolf, Fang Zheng, Julian Cummings:
Plasma fusion code coupling using scalable I/O services and scientific workflows. SC-WORKS 2009 - [c98]Shantenu Jha, Manish Parashar, Omer F. Rana:
Self-adaptive Architectures for Autonomic Computational Science. SOAR 2009: 177-197 - [p3]Scott Klasky, Hasan Abbasi, Viraj Bhat, Ciprian Docan, Steve Hodson, Chen Jin, Jay F. Lofstead, Manish Parashar, Karsten Schwan, Matthew Wolf:
High Throughput Data Movement. Scientific Data Management 2009 - [e10]Yuanyuan Yang, Manish Parashar, Rajeev Muralidhar, Viktor K. Prasanna:
16th International Conference on High Performance Computing, HiPC 2009, December 16-19, 2009, Kochi, India, Proceedings. IEEE Computer Society 2009, ISBN 978-1-4244-4922-4 [contents] - [e9]Simon A. Dobson, John Strassner, Manish Parashar, Onn Shehory:
Proceedings of the 6th International Conference on Autonomic Computing, ICAC 2009, June 15-19, 2009, Barcelona, Spain. ACM 2009, ISBN 978-1-60558-564-2 [contents] - [e8]Manish Parashar, Sanjeev K. Aggarwal:
Distributed Computing and Internet Technology, 5th International Conference, ICDCIT 2008, New Delhi, India, December 10-12, 2008. Proceedings. Lecture Notes in Computer Science 5375, Springer 2009, ISBN 978-3-540-89736-1 [contents] - 2008
- [j54]Nanyan Jiang, Andres Quiroz, Cristina Schmidt, Manish Parashar:
Meteor: a middleware infrastructure for content-based decoupled interactions in pervasive grid environments. Concurr. Comput. Pract. Exp. 20(12): 1455-1484 (2008) - [j53]Andres Quiroz, Manish Parashar:
A framework for distributed content-based web services notification in Grid systems. Future Gener. Comput. Syst. 24(5): 452-459 (2008) - [j52]Emilio Gallicchio, Ronald M. Levy, Manish Parashar:
Asynchronous replica exchange for molecular simulations. J. Comput. Chem. 29(5): 788-794 (2008) - [j51]Cristina Schmidt, Manish Parashar:
Squid: Enabling search in DHT-based systems. J. Parallel Distributed Comput. 68(7): 962-975 (2008) - [c97]Xiaolin Li, Manish Parashar:
GridMate: A Portable Simulation Environment for Large-Scale Adaptive Scientific Applications. CCGRID 2008: 82-89 - [c96]Josep Lluis Berral, Nicolás Poggi, Javier Alonso, Ricard Gavaldà, Jordi Torres, Manish Parashar:
Adaptive distributed mechanism against flooding network attacks based on machine learning. AISec 2008: 43-50 - [c95]Manish Parashar:
Autonomic computing engines for internet scale applications. CLADE 2008: 61-62 - [c94]Scott Klasky, Roselyne Barreto, Ayla Khan, Manish Parashar, Norbert Podhorszki, Steven G. Parker, Deborah Silver, Mladen A. Vouk:
Collaborative visualization spaces for petascale simulations. CTS 2008: 203-211 - [c93]Shantenu Jha, Daniel S. Katz, Manish Parashar, Omer F. Rana, Murray Cole:
Abstractions for Distributed Systems (DPA 2008). Euro-Par Workshops 2008: 401 - [c92]Nanyan Jiang, Manish Parashar:
In-Network Data Estimation for Sensor-Driven Scientific Applications. HiPC 2008: 282-294 - [c91]Manish Parashar:
Autonomics for grid systems and applications. UPGRADE-CN 2008: 1-2 - [c90]Ciprian Docan, Manish Parashar, Scott Klasky:
DART: a substrate for high speed asynchronous data IO. HPDC 2008: 219-220 - [c89]Andres Quiroz, Manish Parashar, Nathan Gnanasambandam, Naveen Sharma:
Clustering Analysis for the Management of Self-Monitoring Device Networks. ICAC 2008: 55-64 - [c88]Xiaolin Li, Xinxin Liu, Huanyu Zhao, Nanyan Jiang, Manish Parashar:
Autonomic Management of Hybrid Sensor Grid Systems and Applications. ICCCN 2008: 708-713 - [c87]Nanyan Jiang, Manish Parashar:
Programming support for sensor-based scientific applications. IPDPS 2008: 1-5 - [p2]Li Zhang, Manish Parashar:
Shared Memory Multiprocessors. Wiley Encyclopedia of Computer Science and Engineering 2008 - [e7]P. Sadayappan, Manish Parashar, Ramamurthy Badrinath, Viktor K. Prasanna:
High Performance Computing - HiPC 2008, 15th International Conference, Bangalore, India, December 17-20, 2008. Proceedings. Lecture Notes in Computer Science 5374, Springer 2008, ISBN 978-3-540-89893-1 [contents] - [e6]Manish Parashar, Karsten Schwan, Jon B. Weissman, Domenico Laforenza:
Proceedings of the 17th International Symposium on High-Performance Distributed Computing (HPDC-17 2008), 23-27 June 2008, Boston, MA, USA. ACM 2008, ISBN 978-1-59593-997-5 [contents] - [e5]Manish Parashar, Mario Lauria, Julie A. McCann, Domenico Cotroneo:
Proceedings of the 5th international conference on Pervasive services, ICPS '08, Sorrento, Italy, July 6-10, 2008. ACM 2008, ISBN 978-1-60558-135-4 [contents] - 2007
- [j50]Viraj Bhat, Manish Parashar, Hua Liu, Nagarajan Kandasamy, Mohit Khandekar, Scott Klasky, Sherif Abdelwahed:
A self-managing wide-area data streaming service. Clust. Comput. 10(4): 365-383 (2007) - [j49]Manish Parashar, Xiaolin Hu:
Preface: High Performance Computing in Simulation (Part I). Simul. 83(6): 435-436 (2007) - [j48]Manish Parashar, Xiaolin Hu:
Preface: High Performance Computing in Simulation (Part II). Simul. 83(7): 495-496 (2007) - [j47]Sumir Chandra, Xiaolin Li, Taher Saif, Manish Parashar:
Enabling scalable parallel implementations of structured adaptive mesh refinement applications. J. Supercomput. 39(2): 177-203 (2007) - [j46]Xiaolin Li, Manish Parashar:
Hybrid Runtime Management of Space-Time Heterogeneity for Parallel Structured Adaptive Applications. IEEE Trans. Parallel Distributed Syst. 18(9): 1202-1214 (2007) - [c86]Xiaolin Li, Manish Parashar:
GridMate: A Simulator for Adaptive Runtime Management of Dynamic Applications in Multi-Site Grid Systems. GCA 2007: 130-136 - [c85]Viraj Bhat, Manish Parashar, Scott Klasky:
Experiments with in-transit processing for data intensive grid workflows. GRID 2007: 193-200 - [c84]Zhen Li, Manish Parashar:
Grid-based asynchronous replica exchange. GRID 2007: 201-208 - [c83]Zhen Li, Manish Parashar:
A computational infrastructure for grid-based asynchronous parallel applications. HPDC 2007: 229-230 - [c82]Tahsin M. Kurç, Xi Zhang, Manish Parashar, Hector Klie, Mary F. Wheeler, Ümit V. Çatalyürek, Joel H. Saltz:
Dynamic Data-Driven Systems Approach for Simulation Based Optimizations. International Conference on Computational Science (1) 2007: 1213-1221 - [c81]Sumir Chandra, Manish Parashar, Jaideep Ray:
Analyzing the impact of computational heterogeneity on runtime performance of parallel scientific components. SpringSim (2) 2007: 395-402 - [e4]Srinivas Aluru, Manish Parashar, Ramamurthy Badrinath, Viktor K. Prasanna:
High Performance Computing - HiPC 2007, 14th International Conference, Goa, India, December 18-21, 2007, Proceedings. Lecture Notes in Computer Science 4873, Springer 2007, ISBN 978-3-540-77219-4 [contents] - 2006
- [j45]Guangsen Zhang, Manish Parashar:
Cooperative Defence Against DDoS Attacks. J. Res. Pract. Inf. Technol. 38(1) (2006) - [j44]Salim Hariri, Bithika Khargharia, Huoping Chen, Jingmei Yang, Yeliang Zhang, Manish Parashar, Hua Liu:
The Autonomic Computing Paradigm. Clust. Comput. 9(1): 5-17 (2006) - [j43]Guangsen Zhang, Manish Parashar:
SESAME: Scalable, Environment Sensitive Access Management Engine. Clust. Comput. 9(1): 19-27 (2006) - [j42]Manish Parashar:
Editorial. Clust. Comput. 9(2): 125-126 (2006) - [j41]Manish Parashar, Hua Liu, Zhen Li, Vincent Matossian, Cristina Schmidt, Guangsen Zhang, Salim Hariri:
AutoMate: Enabling Autonomic Applications on the Grid. Clust. Comput. 9(2): 161-174 (2006) - [j40]Laurence Tianruo Yang, Manish Parashar, Hai Jin:
Preface. Clust. Comput. 9(3): 219-221 (2006) - [j39]Li Zhang, Manish Parashar:
Seine: a dynamic geometry-based shared-space interaction framework for parallel scientific applications. Concurr. Comput. Pract. Exp. 18(15): 1951-1973 (2006) - [j38]Hector Klie, Wolfgang Bangerth, X. Gai, Mary F. Wheeler, Paul L. Stoffa, Mrinal K. Sen, Manish Parashar, Ümit V. Çatalyürek, Joel H. Saltz, Tahsin M. Kurç:
Models, methods and middleware for grid-enabled multiphysics oil reservoir management. Eng. Comput. 22(3-4): 349-370 (2006) - [j37]Zhen Li, Manish Parashar:
A Decentralized Computational Infrastructure for Grid-Based Parallel Asynchronous Iterative Applications. J. Grid Comput. 4(4): 355-372 (2006) - [j36]Elizabeth Chang, Manish Parashar, Roy Sterritt, Huaglory Tianfield, Rainer Unland:
Introduction. Integr. Comput. Aided Eng. 13(1): 1 (2006) - [j35]Zhen Li, Manish Parashar:
Enabling dynamic composition and coordination for autonomic Grid applications using the Rudder Agent framework. Knowl. Eng. Rev. 21(3): 221-230 (2006) - [j34]Hua Liu, Manish Parashar:
Accord: a programming framework for autonomic applications. IEEE Trans. Syst. Man Cybern. Syst. 36(3): 341-352 (2006) - [c80]Viraj Bhat, Manish Parashar, Mohit Khandekar, Nagarajan Kandasamy, Scott Klasky:
A Self-Managing Wide-Area Data Streaming Service using Model-based Online Control. GRID 2006: 176-183 - [c79]Andres Quiroz, Manish Parashar:
Design and Implementation of a Distributed Content-based Notification Broker for WS-Notification. GRID 2006: 207-214 - [c78]Zhen Li, Manish Parashar:
An Infrastructure for Dynamic Composition of Grid Services. GRID 2006: 315-316 - [c77]Li Zhang, Manish Parashar, Scott Klasky:
Experiments with Wide Area Data Coupling Using the Seine Coupling Framework. HiPC 2006: 229-241 - [c76]Viraj Bhat, Manish Parashar, Hua Liu, Mohit Khandekar, Nagarajan Kandasamy, Sherif Abdelwahed:
Enabling Self-Managing Applications using Model-based Online Control Strategies. ICAC 2006: 15-24 - [c75]Manish Parashar, Vincent Matossian, Hector Klie, Sunil G. Thomas, Mary F. Wheeler, Tahsin M. Kurç, Joel H. Saltz, Roelof Versteeg:
Towards Dynamic Data-Driven Management of the Ruby Gulch Waste Repository. International Conference on Computational Science (3) 2006: 384-392 - [c74]Scott Klasky, Bertram Ludäscher, Manish Parashar:
The Center for Plasma Edge Simulation Workflow Requirements. ICDE Workshops 2006: 73 - [c73]Li Zhang, Manish Parashar, Emilio Gallicchio, Ronald M. Levy:
Salsa: Scalable Asynchronous Replica Exchange for Parallel Molecular Dynamics Applications. ICPP 2006: 127-134 - [c72]Nanyan Jiang, Cristina Schmidt, Manish Parashar:
A Decentralized Content-based Aggregation Service for Pervasive Environments. ICPS 2006: 203-212 - [c71]Sumir Chandra, Manish Parashar, Jaideep Ray:
Dynamic structured partitioning for parallel scientific applications with pointwise varying workloads. IPDPS 2006 - [c70]Li Zhang, Manish Parashar:
Enabling efficient and flexible coupling of parallel scientific applications. IPDPS 2006 - [p1]James D. Teresco, Joseph E. Flaherty, Scott B. Baden, Jamal Faik, Sébastien Lacour, Manish Parashar, Valerie E. Taylor, Carlos A. Varela, Xingfu Wu, Rick Stevens, Nicholas T. Karonis, Ian T. Foster, Luis G. Gervasio, Travis Desell, Kaoutar El Maghraoui:
Approaches to Architecture-Aware Parallel Scientific Computation. Parallel Processing for Scientific Computing 2006: 33-58 - [e3]Yves Robert, Manish Parashar, Ramamurthy Badrinath, Viktor K. Prasanna:
High Performance Computing - HiPC 2006, 13th International Conference, Bangalore, India, December 18-21, 2006, Proceedings. Lecture Notes in Computer Science 4297, Springer 2006, ISBN 3-540-68039-X [contents] - 2005
- [j33]Roy Sterritt, Manish Parashar, Huaglory Tianfield, Rainer Unland:
A concise introduction to autonomic computing. Adv. Eng. Informatics 19(3): 181-187 (2005) - [j32]Ray Bair, Ioana Banicescu, Manish Parashar:
Guest Editorial on Challenges of Large Applications in Distributed Environments (CLADE). Clust. Comput. 8(4): 241-242 (2005) - [j31]Wolfgang Bangerth, Hector Klie, Vincent Matossian, Manish Parashar, Mary F. Wheeler:
An Autonomic Reservoir Framework for the Stochastic Optimization of Well Placement. Clust. Comput. 8(4): 255-269 (2005) - [j30]Vincent Matossian, Viraj Bhat, Manish Parashar, Malgorzata Peszynska, Mrinal K. Sen, Paul L. Stoffa, Mary F. Wheeler:
Autonomic oil reservoir optimization on the Grid. Concurr. Pract. Exp. 17(1): 1-26 (2005) - [j29]Manish Parashar, Rajeev Muralidhar, Wonsuck Lee, Dorian C. Arnold, Jack J. Dongarra, Mary F. Wheeler:
Enabling interactive and collaborative oil reservoir simulations on the Grid. Concurr. Pract. Exp. 17(11): 1387-1414 (2005) - [j28]Tahsin M. Kurç, Ümit V. Çatalyürek, Xi Zhang, Joel H. Saltz, Ryan Martino, Mary F. Wheeler, Malgorzata Peszynska, Alan Sussman, Christian Hansen, Mrinal K. Sen, Roustam Seifoullaev, Paul L. Stoffa, Carlos Torres-Verdín, Manish Parashar:
A simulation and data analysis system for large-scale, data-driven oil reservoir simulation studies. Concurr. Pract. Exp. 17(11): 1441-1467 (2005) - [j27]Manish Parashar, Hector Klie, Ümit V. Çatalyürek, Tahsin M. Kurç, Wolfgang Bangerth, Vincent Matossian, Joel H. Saltz, Mary F. Wheeler:
Application of Grid-enabled technologies for solving optimization problems in data-driven reservoir studies. Future Gener. Comput. Syst. 21(1): 19-26 (2005) - [j26]Hua Liu, Lian Jiang, Manish Parashar, Deborah Silver:
Rule-based visualization in the Discover computational steering collaboratory. Future Gener. Comput. Syst. 21(1): 53-59 (2005) - [j25]Hua Liu, Manish Parashar:
Rule-based monitoring and steering of distributed scientific applications. Int. J. High Perform. Comput. Netw. 3(4): 272-282 (2005) - [j24]Sumir Chandra, Manish Parashar, Jingmei Yang, Yeliang Zhang, Salim Hariri:
Investigating Autonomic Runtime Management Strategies for SAMR Applications. Int. J. Parallel Program. 33(2-3): 247-259 (2005) - [j23]Sumir Chandra, Manish Parashar:
Towards autonomic application-sensitive partitioning for SAMR applications. J. Parallel Distributed Comput. 65(4): 519-531 (2005) - [j22]Zhen Li, Manish Parashar:
Rudder: An agent-based infrastructure for autonomic composition of grid applications. Multiagent Grid Syst. 1(3): 183-195 (2005) - [j21]Manish Parashar, Craig A. Lee:
Special Issue on Grid Computing. Proc. IEEE 93(3): 479-484 (2005) - [j20]Manish Parashar, James C. Browne:
Conceptual and Implementation Models for the Grid. Proc. IEEE 93(3): 653-668 (2005) - [c69]Manish Parashar, Zhen Li, Hua Liu, Vincent Matossian, Cristina Schmidt:
Enabling Autonomic Grid Applications: Requirements, Models and Infrastructure. Self-star Properties in Complex Information Systems 2005: 273-290 - [c68]Guangsen Zhang, Manish Parashar:
Cooperative Mechanism Against DDoS Attacks. Security and Management 2005: 86-96 - [c67]Zhen Li, Manish Parashar:
A Decentralized Agent Framework for Dynamic Composition and Coordination for Autonomic Applications. DEXA Workshops 2005: 165-169 - [c66]Hua Liu, Viraj Bhat, Manish Parashar, Scott Klasky:
An autonomic service architecture for self-managing grid applications. GRID 2005: 132-139 - [c65]Xiaolin Li, Manish Parashar:
Using Clustering to Address Heterogeneity and Dynamism in Parallel Scientific Applications. HiPC 2005: 247-257 - [c64]Zhen Li, Manish Parashar:
Comet: a scalable coordination space for decentralized distributed environments. HOT-P2P 2005: 104-111 - [c63]Hua Liu, Manish Parashar:
Enabling self-management of component-based high-performance scientific applications. HPDC 2005: 59-68 - [c62]Jingmei Yang, Huoping Chen, Salim Hariri, Manish Parashar:
Autonomic runtime manager for adaptive distributed applications. HPDC 2005: 69-78 - [c61]Hua Liu, Manish Parashar:
A Framework for Rule-Based Management of Parallel Scientific Applications. ICAC 2005: 360-361 - [c60]Jingmei Yang, Huoping Chen, Salim Hariri, Manish Parashar:
Self-optimization of Large Scale Wildfire Simulations. International Conference on Computational Science (1) 2005: 615-622 - [c59]Manish Parashar, Vincent Matossian, Wolfgang Bangerth, Hector Klie, Benjamin Rutt, Tahsin M. Kurç, Ümit V. Çatalyürek, Joel H. Saltz, Mary F. Wheeler:
Towards Dynamic Data-Driven Optimization of Oil Well Placement. International Conference on Computational Science (2) 2005: 656-663 - [c58]Guangsen Zhang, Manish Parashar:
Cooperative Defense against Network Attacks. WOSIS 2005: 113-122 - [e2]David A. Bader, Manish Parashar, Sridhar Varadarajan, Viktor K. Prasanna:
High Performance Computing - HiPC 2005, 12th International Conference, Goa, India, December 18-21, 2005, Proceedings. Lecture Notes in Computer Science 3769, Springer 2005, ISBN 3-540-30936-5 [contents] - [r1]Bithika Khargharia, Salim Hariri, Zhen Li, Manish Parashar:
The Foundations of Autonomic Computing. Handbook of Bioinspired Algorithms and Applications 2005 - 2004
- [j19]Manish Mahajan, Ananthanarayanan Ramanathan, Manish Parashar:
Active resource management for the differentiated services environment. Int. J. Netw. Manag. 14(3): 149-165 (2004) - [j18]Cristina Schmidt, Manish Parashar:
Enabling Flexible Queries with Guarantees in P2P Systems. IEEE Internet Comput. 8(3): 19-26 (2004) - [j17]Xiaolin Li, Manish Parashar:
Hierarchical Partitioning Techniques for Structured Adaptive Mesh Refinement Applications. J. Supercomput. 28(3): 265-278 (2004) - [j16]Cristina Schmidt, Manish Parashar:
A Peer-to-Peer Approach to Web Service Discovery. World Wide Web 7(2): 211-229 (2004) - [c57]Tezaswi Raja, Manish Parashar:
Using a Jini based desktop Grid for test vector compaction and a refined economic model. CCGRID 2004: 798-805 - [c56]Cristina Schmidt, Manish Parashar, Wenjin Chen, David J. Foran:
Engineering a Peer-to-Peer Collaboratory for Tissue Microarray Research. CLADE 2004: 64 - [c55]Taher Saif, Manish Parashar:
Understanding the Behavior and Performance of Non-blocking Communications in MPI. Euro-Par 2004: 173-182 - [c54]Viraj Bhat, Scott Klasky, Scott Atchley, Micah Beck, Douglas McCune, Manish Parashar:
High Performance Threaded Data Streaming for Large Scale Simulations. GRID 2004: 243-250 - [c53]Li Zhang, Manish Parashar:
A Dynamic Geometry-Based Shared Space Interaction Framework for Parallel Scientific Applications. HiPC 2004: 189-199 - [c52]Hua Liu, Manish Parashar, Salim Hariri:
A Component-Based Programming Model for Autonomic Applications. ICAC 2004: 10-17 - [c51]Zhen Li, Manish Parashar:
Rudder: A Rule-Based Multi-Agent Infrastructure for Supporting Autonomic Grid Applications. ICAC 2004: 278-279 - [c50]Guangzhi Qu, Salim Hariri, Santosh Jangiti, Jayprakash Rudraraju, Seungchan Oh, Samer Fayssal, Guangsen Zhang, Manish Parashar:
Online Monitoring and Analysis for Self-Protection against Network Attacks. ICAC 2004: 324-325 - [c49]Lian Jiang, Hua Liu, Manish Parashar, Deborah Silver:
Rule-Based Visualization in a Computational Steering Collaboratory. International Conference on Computational Science 2004: 58-65 - [c48]Manish Parashar, Hector Klie, Ümit V. Çatalyürek, Tahsin M. Kurç, Vincent Matossian, Joel H. Saltz, Mary F. Wheeler:
Application of Grid-Enabled Technologies for Solving Optimization Problems in Data-Driven Reservoir Studies. International Conference on Computational Science 2004: 805-812 - [c47]Nanyan Jiang, Cristina Schmidt, Vincent Matossian, Manish Parashar:
Opportunistic Application Flows in Pervasive Environments. ICPS 2004: 219 - [c46]Yeliang Zhang, Jingmei Yang, Salim Hariri, Sumir Chandra, Manish Parashar:
Autonomic Proactive Runtime Partitioning Strategies for SAMR Applications. IPDPS Next Generation Software Program - NSFNGS - PI Workshop 2004 - [c45]Manish Parashar, Salim Hariri:
Autonomic Computing: An Overview. UPP 2004: 257-269 - [c44]Zhen Li, Manish Parashar:
Enabling Autonomic Grid Applications: Dynamic Composition, Coordination and Interaction. UPP 2004: 270-285 - [c43]Jingmei Yang, Huoping Chen, Byoung Uk Kim, Salim Hariri, Manish Parashar:
Autonomic Runtime System for Large Scale Parallel and Distributed Applications. UPP 2004: 297-311 - 2003
- [j15]Jyoti Batheja, Manish Parashar:
A Framework for Adaptive Cluster Computing Using JavaSpaces. Clust. Comput. 6(3): 201-213 (2003) - [j14]Rajeev Muralidhar, Manish Parashar:
A distributed object infrastructure for interaction and steering. Concurr. Comput. Pract. Exp. 15(10): 957-977 (2003) - [j13]Niraj Prabhavalkar, Manish Parashar:
Controlling unresponsive connections in an active network architecture. Int. J. Netw. Manag. 13(4): 289-305 (2003) - [j12]Victor Safronov, Manish Parashar:
Optimizing Web servers using Page rank prefetching for clustered accesses. Inf. Sci. 150(3-4): 165-176 (2003) - [j11]Manish Mahajan, Manish Parashar:
Managing QoS for Multimedia Applications in Differentiated Services Environment. J. Netw. Syst. Manag. 11(4): 469-498 (2003) - [c42]Vincent Matossian, Manish Parashar:
Autonomic Optimization of an Oil Reservoir using Decentralized Services. CLADE 2003: 2 - [c41]Bithika Khargharia, Salim Hariri, Manish Parashar, Lewis Ntaimo, Byoung Uk Kim:
vGrid: A Framework For Building Autonomic Applications. CLADE 2003: 19 - [c40]Hua Liu, Manish Parashar:
DIOS++: A Framework for Rule-Basedn Autonomic Management of Distributed Scientific Applications. Euro-Par 2003: 66-73 - [c39]Xiaolin Li, Manish Parashar:
Dynamic Load Partitioning Strategies for Managing Data of Space and Time Heterogeneity in Parallel SAMR Applications. Euro-Par 2003: 181-188 - [c38]Vincent Matossian, Manish Parashar:
Enabling Peer-to-Peer Interactions for Scientific Applications on the Grid. Euro-Par 2003: 1240-1247 - [c37]Manish Agarwal, Manish Parashar:
Enabling Autonomic Compositions in Grid Environments. GRID 2003: 34-43 - [c36]Guangsen Zhang, Manish Parashar:
Dynamic Context-aware Access Control for Grid Applications. GRID 2003: 101-108 - [c35]Viraj Bhat, Manish Parashar:
A Middleware Substrate for Integrating Services on the Grid. HiPC 2003: 373-382 - [c34]Cristina Schmidt, Manish Parashar:
Flexible Information Discovery in Decentralized Distributed Systems. HPDC 2003: 226-235 - [c33]Manish Agarwal, Viraj Bhat, Hua Liu, Vincent Matossian, V. Putty, Cristina Schmidt, Guangsen Zhang, L. Zhen, Manish Parashar, Bithika Khargharia, Salim Hariri:
AutoMate: Enabling Autonomic Applications on the Grid. Active Middleware Services 2003: 48-59 - [c32]Hailan Zhu, Manish Parashar, Jingmei Yang, Yeliang Zhang, Soujanya Rao, Salim Hariri:
Self-Adapting, Self-Optimizing Runtime Management of Grid Applications Using PRAGMA. IPDPS 2003: 208 - 2002
- [j10]Shweta Sinha, Manish Parashar:
Adaptive System Sensitive Partitioning of AMR Applications on Heterogeneous Clusters. Clust. Comput. 5(4): 343-352 (2002) - [j9]Manish Parashar:
Special Issue: Software architectures for scientific applications. Concurr. Comput. Pract. Exp. 14(5): 321-322 (2002) - [j8]Manish Parashar, Gregor von Laszewski, Snigdha Verma, Jarek Gawor, Kate Keahey, Nell Rehn:
A CORBA Commodity Grid Kit. Concurr. Comput. Pract. Exp. 14(13-15): 1057-1074 (2002) - [j7]Vijay Mann, Manish Parashar:
Engineering an interoperable computational collaboratory on the Grid. Concurr. Comput. Pract. Exp. 14(13-15): 1569-1593 (2002) - [j6]Johan Steensland, Sumir Chandra, Manish Parashar:
An Application-Centric Characterization of Domain-Based SFC Partitioners for Parallel SAMR. IEEE Trans. Parallel Distributed Syst. 13(12): 1275-1289 (2002) - [j5]Victor Safronov, Manish Parashar:
Optimizing Web Servers Using Page Rank Prefetching for Clustered Accesses. World Wide Web 5(1): 25-40 (2002) - [c31]Dan Davis, Manish Parashar:
Latency Performance of SOAP Implementations. CCGRID 2002: 407-412 - [c30]Mandar Kelaskar, Vincent Matossian, Preeti Mehra, Dennis Paul, Manish Parashar:
A Study of Discovery Mechanisms for Peer-to-Peer Applications. CCGRID 2002: 444-445 - [c29]Sumir Chandra, Shweta Sinha, Manish Parashar, Yeliang Zhang, Jingmei Yang, Salim Hariri:
Adaptive Runtime Managementof SAMR Applications. HiPC 2002: 564-574 - [c28]Xiaolin Li, Sivapriya Ramanathan, Manish Parashar:
Hierarchical Partitioning Techniques for Structured Adaptive Mesh Refinement (SAMR) Applications. ICPP Workshops 2002: 336-343 - [c27]Manish Mahajan, Manish Parashar:
Managing QoS for Multimedia Applications in a Differentiated Services Environment. Active Middleware Services 2002: 83-90 - [c26]Rangini Chowdhury, Pravin Bhandarkar, Manish Parashar:
Adaptive QoS Management for Collaboration in Heterogeneous Environments. IPDPS 2002 - [c25]Madhuri Dwivedula, Salim Hariri, Manish Parashar:
A Software Design Model for Parallel Applications on Heterogeneous Systems. IPDPS 2002 - [c24]Manish Parashar, Salim Hariri:
Pragma: An Infrastructure for Runtime Management of Grid Applications. IPDPS 2002 - [c23]Sumir Chandra, Manish Parashar:
ARMaDA: An Adaptive Application-sensitive Partitioning Framework for SAMR Applications. IASTED PDCS 2002: 441-446 - [e1]Manish Parashar:
Grid Computing - GRID 2002, Third International Workshop, Baltimore, MD, USA, November 18, 2002, Proceedings. Lecture Notes in Computer Science 2536, Springer 2002, ISBN 3-540-00133-6 [contents] - 2001
- [j4]Vijay Mann, Vincent Matossian, Rajeev Muralidhar, Manish Parashar:
DISCOVER: An environment for Web-based interaction and steering of high-performance scientific applications. Concurr. Comput. Pract. Exp. 13(8-9): 737-754 (2001) - [c22]Jyoti Batheja, Manish Parashar:
Adaptive Cluster Computing using JavaSpaces. CLUSTER 2001: 323-330 - [c21]Shweta Sinha, Manish Parashar:
Adaptive Runtime Partitioning of AMR Applications on Heterogeneous Clusters. CLUSTER 2001: 435- - [c20]Rajeev Muralidhar, Manish Parashar:
A Distributed Object Infrastructure for Interaction and Steering. Euro-Par 2001: 67-74 - [c19]Sumir Chandra, Manish Parashar:
An Evaluation of Partitioners for Parallel SAMR Applications. Euro-Par 2001: 171-174 - [c18]Hromuzd Khosravi, Daniel Reininger, Maximilian Ott, Manish Parashar:
M-YESSIR: A Low Latency Reservation Protocol for Mobile-IP Networks. GI Jahrestagung (1) 2001: 172-180 - [c17]Snigdha Verma, Manish Parashar, Jarek Gawor, Gregor von Laszewski:
Design and Implementation of a CORBA Commodity Grid Kit. GRID 2001: 2-13 - [c16]Samian Kaur, Vijay Mann, Vincent Matossian, Rajeev Muralidhar, Manish Parashar:
Engineering a Distributed Computational Collaboratory. HICSS 2001 - [c15]Jyoti Batheja, Manish Parashar:
A Framework for Opportunistic Cluster Computing Using JavaSpaces. HPCN Europe 2001: 647-656 - [c14]Vijay Mann, Manish Parashar:
Middleware Support for Global Access to Integrated Computational Collaboratories. HPDC 2001: 35-46 - [c13]Ananthanarayanan Ramanathan, Manish Parashar:
Active Resource Management for The Differentiated Services Environment. Active Middleware Services 2001: 78-86 - [c12]Shweta Sinha, Manish Parashar:
System Sensitive Runtime Management of Adaptive Applications. IPDPS 2001: 85 - 2000
- [j3]Manish Parashar, Salim Hariri:
Interpretive Performance Prediction for Parallel Application Development. J. Parallel Distributed Comput. 60(1): 17-47 (2000) - [c11]Rajeev Muralidhar, Samian Kaur, Manish Parashar:
An Architecture for Web-Based Interaction and Steering of Adaptive Parallel/Distributed Applications. Euro-Par 2000: 1332-1339 - [c10]Rajeev Muralidhar, Manish Parashar:
An Object Infrastructure for Computational Steering of Distributed Simulations. HPDC 2000: 304-305
1990 – 1999
- 1999
- [c9]Samip Bhavasar, Mausumi Shee, Manish Parashar:
An Application-Centric Characterization of Distribution Techniques for Dynamic Adaptive Grid Hierarchies. PDPTA 1999: 2530-2536 - 1997
- [c8]Manish Parashar, Salim Hariri:
Interpretive Performance Prediction for High Performance Application Development. HICSS (1) 1997: 462-471 - [c7]Manish Parashar, James C. Browne, H. Carter Edwards, Kenneth Klimkowski:
A Common Data Management Infrastructure for Adaptive Algorithms for PDE Solutions. SC 1997: 56 - 1996
- [j2]Manish Parashar, Salim Hariri:
Compile-time performance prediction of HPF/Fortran 90D. IEEE Parallel Distributed Technol. Syst. Appl. 4(1): 57-73 (1996) - [c6]Manish Parashar, James C. Browne:
On Partitioning Dynamic Adaptive Grid Hierarchies. HICSS (1) 1996: 604-613 - 1995
- [c5]Salim Hariri, Sung-Yong Park, Rajashekar Reddy, Mahesh Subramanyan, Rajesh Yadav, Geoffrey C. Fox, Manish Parashar:
Software Tool Evaluation Methodology. ICDCS 1995: 3-10 - 1994
- [j1]Salim Hariri, J.-B. Park, Manish Parashar, Geoffrey Charles Fox:
Communication system for high-performance distributed computing. Concurr. Pract. Exp. 6(4): 251-270 (1994) - [c4]Manish Parashar, Salim Hariri, Tomasz Haupt, Geoffrey C. Fox:
Interpreting the performance of HPF/Fortran 90D. SC 1994: 743-752 - 1993
- [c3]Salim Hariri, Jong Park, Fang-Kuo Yu, Manish Parashar, Geoffrey C. Fox:
A Message Passing Interface for Parallel and Distributed Computing. HPDC 1993: 84-91 - 1992
- [c2]Manish Parashar, Salim Hariri, A. Gaber Mohamed, Geoffrey C. Fox:
A Requirement Analysis for High Performance Distributed Computing over LANs. HPDC 1992: 142-151 - [c1]Gregor von Laszewski, Manish Parashar, A. Gaber Mohamed, Geoffrey C. Fox:
On the Parallelization of Blocked LU Factorization Algorithms on Distributed Memory Architectures. SC 1992: 170-179
Coauthor Index
Daniel Balouek-Thomert
aka: Daniel Balouek
aka: Daniel Balouek
Jong Choi 0001
aka: Jong Youl Choi
aka: Jong Youl Choi
[i15] [j144] [j137] [j126] [j123] [c210] [c208] [c201] [j101] [c195] [c192] [c189] [c179] [c176] [j91] [c166] [c164] [j82] [j81] [c159] [c149] [c145] [c143] [c142] [j70] [c139] [c138] [c137] [c135] [c134] [p6] [c131] [c130] [c128] [j58] [c125] [c119] [c112] [c111] [c99] [p3] [c94] [c90] [j50] [c85] [c80] [c77] [c74] [c66] [c54]
Xiaolin Li 0001
aka: Xiaolin Andy Li
aka: Xiaolin Andy Li
[c242] [j147] [j138] [c232] [c229] [i12] [j130] [j129] [j128] [j127] [j124] [c226] [i11] [i10] [c218] [c215] [j109] [c203] [c202] [i8] [j97] [c199] [c198] [c197] [c193] [c187] [c184] [c182] [c179] [j93] [j92] [j90] [j85] [j78] [c157] [c152] [p7] [j74] [j72] [c147] [c146] [c144] [c142] [i4] [j67] [j66] [c140] [c136] [c133] [c132] [r2] [j62] [j61] [c129] [c127] [c123] [c122] [c121] [c120] [c118] [c114] [p5]
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