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2020 – today
- 2022
[c45]Neena Imam, Nageswara S. V. Rao, Anees Al-Najjar, Thomas J. Naughton, Seth Hitefield:
Emulation Framework for Distributed Large-Scale Systems Integration. SysCon 2022: 1-8- 2021
- [j9]Chung-Hsing Hsu, Neena Imam:
Assessment of NVSHMEM for High Performance Computing. Int. J. Netw. Comput. 11(1): 78-101 (2021) - [c44]Kuldeep R. Kurte
, Neena Imam, Ramakrishnan Kannan, S. M. Shamimul Hasan, Srikanth B. Yoginath:
Co-design of Advanced Architectures for Graph Analytics using Machine Learning. IPDPS Workshops 2021: 298-307 - [c43]S. M. Shamimul Hasan, Neena Imam, Ramakrishnan Kannan, Srikanth B. Yoginath, Kuldeep R. Kurte:
Design Space Exploration of Emerging Memory Technologies for Machine Learning Applications. IPDPS Workshops 2021: 439-448 - [c42]Anees Al-Najjar, Nageswara S. V. Rao, Neena Imam, Thomas J. Naughton, Seth Hitefield, Lawrence Sorrillo, James Kohl, Wael R. Elwasif, Jean-Christophe Bilheux, Hassina Z. Bilheux, Swen Boehm, Jason Kincl:
Virtual Framework for Development and Testing of Federation Software Stack. LCN 2021: 323-326 - [c41]Nageswara S. V. Rao, Anees Al-Najjar, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Cross Inference of Throughput Profiles Using Micro Kernel Network Method. MLN 2021: 48-68 - [i4]Anees Al-Najjar, Nageswara S. V. Rao, Neena Imam, Thomas J. Naughton, Seth Hitefield, Lawrence Sorrillo, James Kohl, Wael R. Elwasif, Jean-Christophe Bilheux, Hassina Z. Bilheux, Swen Boehm, Jason Kincl:
VFSIE - Development and Testing Framework for Federated Science Instruments. CoRR abs/2101.02184 (2021) - 2020
- [j8]Kathleen E. Hamilton, Catherine D. Schuman, Steven R. Young, Ryan S. Bennink, Neena Imam, Travis S. Humble:
Accelerating Scientific Computing in the Post-Moore's Era. ACM Trans. Parallel Comput. 7(1): 6:1-6:31 (2020) - [c40]Chung-Hsing Hsu, Neena Imam, Akhil Langer, Sreeram Potluri, Chris J. Newburn:
An Initial Assessment of NVSHMEM for High Performance Computing. IPDPS Workshops 2020: 617-626 - [c39]Nicholas Chaimov, Sameer Shende, Allen D. Malony, Neena Imam:
Identifying Optimization Opportunities Using Memory Access Tracing in OpenSHMEM Runtimes with the TAU Performance System. IPDPS Workshops 2020: 749-756 - [c38]Thomas J. Naughton, Seth Hitefield, Lawrence Sorrillo, Nageswara S. V. Rao, James Kohl, Wael R. Elwasif, Jean-Christophe Bilheux, Hassina Z. Bilheux, Swen Boehm, Jason Kincl, Satyabrata Sen, Neena Imam:
Software Framework for Federated Science Instruments. SMC 2020: 189-203
2010 – 2019
- 2019
- [j7]Dylan Machovec, Bhavesh Khemka, Nirmal Kumbhare, Sudeep Pasricha, Anthony A. Maciejewski, Howard Jay Siegel, Ali Akoglu, Gregory A. Koenig, Salim Hariri, Cihan Tunc, Michael Wright, Marcia Hilton, Rajendra Rambharos, Christopher Blandin, Farah Fargo, Ahmed Louri, Neena Imam:
Utility-based resource management in an oversubscribed energy-constrained heterogeneous environment executing parallel applications. Parallel Comput. 83: 48-72 (2019) - [j6]Ali Passian, Neena Imam:
Nanosystems, Edge Computing, and the Next Generation Computing Systems. Sensors 19(18): 4048 (2019) - [c37]S. M. Shamimul Hasan, Drew Schmidt, Ramakrishnan Kannan, Neena Imam:
A Scalable Graph Analytics Framework for Programming with Big Data in R (pbdR). IEEE BigData 2019: 4783-4792 - [c36]Feiyi Wang, Sarp Oral, Satyabrata Sen, Neena Imam:
Learning from Five-year Resource-Utilization Data of Titan System. CLUSTER 2019: 1-6 - [c35]Nageswara S. V. Rao, Neena Imam, Chris Y. T. Ma, Fei He:
Defense strategies and expected capacity of high performance computing infrastructures. ICDCN 2019: 143-147 - [c34]Satyabrata Sen, Neena Imam:
Machine learning based design space exploration for hybrid main-memory design. MEMSYS 2019: 480-489 - [c33]Nageswara S. V. Rao, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Machine Learning Methods for Connection RTT and Loss Rate Estimation Using MPI Measurements Under Random Losses. MLN 2019: 154-174 - [c32]Nageswara S. V. Rao, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Estimation of RTT and Loss Rate of Wide-Area Connections Using MPI Measurements. INDIS@SC 2019: 17-24 - [c31]Sameer Shende, Nicholas Chaimov, Allen D. Malony, Neena Imam:
Multi-Level Performance Instrumentation for Kokkos Applications Using TAU. ProTools@SC 2019: 48-54 - [c30]Nageswara S. V. Rao, Neena Imam, Swen Boehm:
A Case Study of MPI Over Long Distance Connections. SysCon 2019: 1-4 - [e4]Swaroop Pophale, Neena Imam, Ferrol Aderholdt, Manjunath Gorentla Venkata:
OpenSHMEM and Related Technologies. OpenSHMEM in the Era of Extreme Heterogeneity, 5th Workshop, OpenSHMEM 2018, Baltimore, MD, USA, August 21-23, 2018, Revised Selected Papers. Springer 2019, ISBN 978-3-030-04917-1 [contents] - 2018
- [j5]Kathleen E. Hamilton, Neena Imam, Travis S. Humble:
Sparse Hardware Embedding of Spiking Neuron Systems for Community Detection. ACM J. Emerg. Technol. Comput. Syst. 14(4): 40:1-40:13 (2018) - [c29]Huansong Fu, Manjunath Gorentla Venkata, Shaeke Salman, Neena Imam, Weikuan Yu:
SHMEMGraph: Efficient and Balanced Graph Processing Using One-Sided Communication. CCGrid 2018: 513-522 - [c28]Charlotte Kotas, Thomas J. Naughton, Neena Imam:
A comparison of Amazon Web Services and Microsoft Azure cloud platforms for high performance computing. ICCE 2018: 1-4 - [c27]Satyabrata Sen, Neena Imam, Chung-Hsing Hsu:
Quality Assessment of GPU Power Profiling Mechanisms. IPDPS Workshops 2018: 702-711 - [c26]Kathleen E. Hamilton, Catherine D. Schuman, Steven R. Young, Neena Imam, Travis S. Humble:
Neural Networks and Graph Algorithms with Next-Generation Processors. IPDPS Workshops 2018: 1194-1203 - [c25]Ferrol Aderholdt, Swaroop Pophale, Manjunath Gorentla Venkata, Neena Imam:
OpenSHMEM Sets and Groups: An Approach to Worksharing and Memory Management. OpenSHMEM 2018: 3-21 - [c24]Subhadeep Bhattacharya, Shaeke Salman, Manjunath Gorentla Venkata, Harsh Kundnani, Neena Imam, Weikuan Yu:
An Initial Implementation of Libfabric Conduit for OpenSHMEM-X. OpenSHMEM 2018: 56-69 - [c23]Ching-Hsiang Chu, Sreeram Potluri, Anshuman Goswami, Manjunath Gorentla Venkata, Neena Imam, Chris J. Newburn:
Designing High-Performance In-Memory Key-Value Operations with Persistent GPU Kernels and OpenSHMEM. OpenSHMEM 2018: 148-164 - [c22]Nicholas Chaimov, Sameer Shende, Allen D. Malony, Manjunath Gorentla Venkata, Neena Imam:
Tracking Memory Usage in OpenSHMEM Runtimes with the TAU Performance System. OpenSHMEM 2018: 167-179 - [c21]Thomas J. Naughton, Ferrol Aderholdt, Matthew B. Baker, Swaroop Pophale, Manjunath Gorentla Venkata, Neena Imam:
Oak Ridge OpenSHMEM Benchmark Suite. OpenSHMEM 2018: 202-216 - [c20]Nageswara S. V. Rao, Neena Imam, Jesse Hanley, Sarp Oral:
Wide-area lustre file system using LNet routers. SysCon 2018: 1-6 - [e3]Manjunath Gorentla Venkata, Neena Imam, Swaroop Pophale:
OpenSHMEM and Related Technologies. Big Compute and Big Data Convergence - 4th Workshop, OpenSHMEM 2017, Annapolis, MD, USA, August 7-9, 2017, Revised Selected Papers. Lecture Notes in Computer Science 10679, Springer 2018, ISBN 978-3-319-73813-0 [contents] - 2017
- [j4]Jonathan Schrock, Alexander J. McCaskey, Kathleen E. Hamilton, Travis S. Humble, Neena Imam:
Recall Performance for Content-Addressable Memory Using Adiabatic Quantum Optimization. Entropy 19(9): 500 (2017) - [c19]Huansong Fu, Manjunath Gorentla Venkata, Ahana Roy Choudhury, Neena Imam, Weikuan Yu:
High-Performance Key-Value Store On OpenSHMEM. CCGrid 2017: 559-568 - [c18]Satyabrata Sen, Nageswara S. V. Rao, Qiang Liu, Neena Imam, Rajkumar Kettimuthu, Ian T. Foster:
On Analytics of File Transfer Rates over Dedicated Wide-Area Connections. eScience 2017: 576-585 - [c17]Sreeram Potluri, Anshuman Goswami, Davide Rossetti, Chris J. Newburn, Manjunath Gorentla Venkata, Neena Imam:
GPU-Centric Communication on NVIDIA GPU Clusters with InfiniBand: A Case Study with OpenSHMEM. HiPC 2017: 253-262 - [c16]Dylan Machovec, Sudeep Pasricha, Anthony A. Maciejewski, Howard Jay Siegel, Gregory A. Koenig, Michael Wright, Marcia Hilton, Rajendra Rambharos, Thomas J. Naughton, Neena Imam:
Preemptive Resource Management for Dynamically Arriving Tasks in an Oversubscribed Heterogeneous Computing System. IPDPS Workshops 2017: 54-64 - [c15]Kathleen E. Hamilton, Neena Imam, Travis S. Humble:
Community detection with spiking neural networks for neuromorphic hardware. NCS 2017: 9:1-9:8 - [c14]Sreeram Potluri, Anshuman Goswami, Manjunath Gorentla Venkata, Neena Imam:
Efficient Breadth First Search on Multi-GPU Systems Using GPU-Centric OpenSHMEM. OpenSHMEM 2017: 82-96 - [c13]Huansong Fu, Manjunath Gorentla Venkata, Neena Imam, Weikuan Yu:
Portable SHMEMCache: A High-Performance Key-Value Store on OpenSHMEM and MPI. OpenSHMEM 2017: 114-129 - [c12]Thomas J. Naughton, Lawrence Sorrillo, Adam Simpson, Neena Imam:
Balancing Performance and Portability with Containers in HPC: An OpenSHMEM Example. OpenSHMEM 2017: 130-142 - [c11]John C. Linford, Samuel Khuvis, Sameer Shende, Allen D. Malony, Neena Imam, Manjunath Gorentla Venkata:
Performance Analysis of OpenSHMEM Applications with TAU Commander. OpenSHMEM 2017: 161-179 - [c10]Nageswara S. V. Rao, Neena Imam, Chris Y. T. Ma, Kjell Hausken, Fei He, Jun Zhuang:
On defense strategies for system of systems using aggregated correlations. SysCon 2017: 1-6 - [i3]Kathleen E. Hamilton, Neena Imam, Travis S. Humble:
Community detection with spiking neural networks for neuromorphic hardware. CoRR abs/1711.07361 (2017) - 2016
- [j3]Robert A. Bridges, Neena Imam, Tiffany M. Mintz:
Understanding GPU Power: A Survey of Profiling, Modeling, and Simulation Methods. ACM Comput. Surv. 49(3): 41:1-41:27 (2016) - [c9]Nageswara S. V. Rao, Qiang Liu, Satyabrata Sen, Greg Hinkel, Neena Imam, Ian T. Foster, Rajkumar Kettimuthu, Bradley W. Settlemyer, Chase Q. Wu, Daqing Yun:
Experimental Analysis of File Transfer Rates over Wide-Area Dedicated Connections. HPCC/SmartCity/DSS 2016: 198-205 - [c8]Dylan Machovec, Bhavesh Khemka, Sudeep Pasricha, Anthony A. Maciejewski, Howard Jay Siegel, Gregory A. Koenig, Michael Wright, Marcia Hilton, Rajendra Rambharos, Neena Imam:
Dynamic Resource Management for Parallel Tasks in an Oversubscribed Energy-Constrained Heterogeneous Environment. IPDPS Workshops 2016: 67-78 - [c7]Travis S. Humble, Alexander J. McCaskey, Jonathan Schrock, Hadayat Seddiqi, Keith A. Britt, Neena Imam:
Performance Models for Split-Execution Computing Systems. IPDPS Workshops 2016: 545-554 - [c6]Natalie J. Bates, Chung-Hsing Hsu, Neena Imam, Torsten Wilde, Dale Sartor:
Re-Examining HPC Energy Efficiency Dashboard Elements. IPDPS Workshops 2016: 1106-1109 - [c5]Eduardo F. D'Azevedo, Sarah Powers, Neena Imam:
OpenSHMEM Implementation of HPCG Benchmark. OpenSHMEM 2016: 193-203 - [c4]Megan Grodowitz, Eduardo F. D'Azevedo, Sarah Powers, Neena Imam:
Using Hybrid Model OpenSHMEM + CUDA to Implement the SHOC Benchmark Suite. OpenSHMEM 2016: 204-216 - [c3]John C. Linford, Samuel Khuvis, Sameer Shende, Allen D. Malony, Neena Imam, Manjunath Gorentla Venkata:
Profiling Production OpenSHMEM Applications. OpenSHMEM 2016: 219-224 - [e2]Manjunath Gorentla Venkata, Neena Imam, Swaroop Pophale, Tiffany M. Mintz:
OpenSHMEM and Related Technologies. Enhancing OpenSHMEM for Hybrid Environments - Third Workshop, OpenSHMEM 2016, Baltimore, MD, USA, August 2-4, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10007, Springer 2016, ISBN 978-3-319-50994-5 [contents] - [i2]Travis S. Humble, Alexander J. McCaskey, Jonathan Schrock, Hadayat Seddiqi, Keith A. Britt, Neena Imam:
Performance Models for Split-execution Computing Systems. CoRR abs/1607.01084 (2016) - 2015
- [c2]Eduardo F. D'Azevedo, Neena Imam:
Graph 500 in OpenSHMEM. OpenSHMEM 2015: 154-163 - [e1]Manjunath Gorentla Venkata, Pavel Shamis, Neena Imam, M. Graham Lopez:
OpenSHMEM and Related Technologies. Experiences, Implementations, and Technologies - Second Workshop, OpenSHMEM 2015, Annapolis, MD, USA, August 4-6, 2015. Revised Selected Papers. Lecture Notes in Computer Science 9397, Springer 2015, ISBN 978-3-319-26427-1 [contents] - [i1]Neena Imam, Michael J. Brim, Sarp Oral:
Proceedings of the 2015 International Workshop on the Lustre Ecosystem: Challenges and Opportunities. CoRR abs/1506.05323 (2015) - 2012
- [j2]Jacob Barhen, Travis S. Humble, Pramita Mitra, Neena Imam, Bryan Schleck, Charlotte Kotas, Michael Traweek:
Concurrent FFT computing on multicore processors. Concurr. Comput. Pract. Exp. 24(1): 29-44 (2012) - 2010
- [c1]Jacob Barhen, Charlotte Kotas, Travis S. Humble, Pramita Mitra, Neena Imam, Mark A. Buckner, Michael Roy Moore:
High performance FFT on multicore processors. CrownCom 2010: 1-6
2000 – 2009
- 2009
- [j1]Neena Imam, Jacob Barhen:
Acoustic Source Localization via Time Difference of Arrival Estimation for Distributed Sensor Networks Using Tera-Scale Optical Core Devices. J. Sensors 2009: 187916:1-187916:11 (2009)
Coauthor Index
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