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ORCIDChristina Delimitrou
Person information
- affiliation: MIT, Cambridge, MA, USA
- affiliation (former): Cornell University, Ithaca, NY, USA
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2020 – today
- 2024
[j19]Varun Gohil
, Sundar Dev, Gaurang Upasani, David Lo, Parthasarathy Ranganathan, Christina Delimitrou:
The Importance of Generalizability in Machine Learning for Systems. IEEE Comput. Archit. Lett. 23(1): 95-98 (2024)- [j18]Mingyu Liang, Yu Gan, Yueying Li, Carlos Torres, Abhishek Dhanotia, Mahesh Ketkar, Christina Delimitrou:
End-to-End Cloud Application Cloning With Ditto. IEEE Micro 44(4): 34-43 (2024) - [j17]Christina Delimitrou, Michael Marty:
Tales of the Tail: Past and Future. IEEE Micro 44(5): 57-64 (2024) - [c42]Zhuangzhuang Zhou, Vaibhav Gogte, Nilay Vaish, Chris Kennelly, Patrick Xia, Svilen Kanev, Tipp Moseley, Christina Delimitrou, Parthasarathy Ranganathan:
Characterizing a Memory Allocator at Warehouse Scale. ASPLOS (3) 2024: 192-206 - [c41]Noman Bashir, Varun Gohil, Anagha Belavadi Subramanya, Mohammad Shahrad, David E. Irwin, Elsa Olivetti, Christina Delimitrou:
The Sunk Carbon Fallacy: Rethinking Carbon Footprint Metrics for Effective Carbon-Aware Scheduling. SoCC 2024: 542-551 - [c40]Yueying Li, Nikita Lazarev, David Koufaty, Tenny Yin, Andy Anderson, Zhiru Zhang, G. Edward Suh, Kostis Kaffes, Christina Delimitrou:
LibPreemptible: Enabling Fast, Adaptive, and Hardware-Assisted User-Space Scheduling. HPCA 2024: 922-936 - [c39]Yanqi Zhang, Zhuangzhuang Zhou, Sameh Elnikety, Christina Delimitrou:
Ursa: Lightweight Resource Management for Cloud-Native Microservices. HPCA 2024: 954-969 - [c38]Nikita Lazarev, Varun Gohil, James Tsai, Andy Anderson, Bhushan Chitlur, Zhiru Zhang, Christina Delimitrou:
Sabre: Hardware-Accelerated Snapshot Compression for Serverless MicroVMs. OSDI 2024: 1-18 - [i24]Yanqi Zhang, Zhuangzhuang Zhou, Sameh Elnikety, Christina Delimitrou:
Analytically-Driven Resource Management for Cloud-Native Microservices. CoRR abs/2401.02920 (2024) - [i23]Noman Bashir, Varun Gohil, Anagha Belavadi Subramanya, Mohammad Shahrad, David E. Irwin, Elsa Olivetti, Christina Delimitrou:
The Sunk Carbon Fallacy: Rethinking Carbon Footprint Metrics for Effective Carbon-Aware Scheduling. CoRR abs/2410.15087 (2024) - 2023
- [c37]Zhuangzhuang Zhou, Yanqi Zhang, Christina Delimitrou:
AQUATOPE: QoS-and-Uncertainty-Aware Resource Management for Multi-stage Serverless Workflows. ASPLOS (1) 2023: 1-14 - [c36]Mingyu Liang, Yu Gan, Yueying Li, Carlos Torres, Abhishek Dhanotia, Mahesh Ketkar, Christina Delimitrou:
Ditto: End-to-End Application Cloning for Networked Cloud Services. ASPLOS (2) 2023: 222-236 - [c35]Yueying Li, Daochen Zha, Tianjun Zhang, G. Edward Suh, Christina Delimitrou, Francis Y. Yan:
Mitigating Metastable Failures in Distributed Systems with Offline Reinforcement Learning. Tiny Papers @ ICLR 2023 - [c34]Mingyu Liang, Wenyin Fu, Louis Feng, Zhongyi Lin, Pavani Panakanti, Shengbao Zheng, Srinivas Sridharan, Christina Delimitrou:
Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks. ISCA 2023: 37:1-37:13 - [c33]Nikita Lazarev, Tao Ji, Anuj Kalia, Daehyeok Kim, Ilias Marinos, Francis Y. Yan, Christina Delimitrou, Zhiru Zhang, Aditya Akella:
Resilient Baseband Processing in Virtualized RANs with Slingshot. SIGCOMM 2023: 654-667 - [i22]Mingyu Liang, Wenyin Fu, Louis Feng, Zhongyi Lin, Pavani Panakanti, Srinivas Sridharan, Christina Delimitrou:
Mystique: Accurate and Scalable Production AI Benchmarks Generation. CoRR abs/2301.04122 (2023) - [i21]Yueying Li, Nikita Lazarev, David Koufaty, Yijun Yin, Andy Anderson, Zhiru Zhang, G. Edward Suh, Kostis Kaffes, Christina Delimitrou:
Towards Fast, Adaptive, and Hardware-Assisted User-Space Scheduling. CoRR abs/2308.02896 (2023) - 2022
- [j16]Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou:
Practical and Scalable ML-Driven Cloud Performance Debugging With Sage. IEEE Micro 42(4): 27-36 (2022) - [j15]Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou:
Enabling Practical Cloud Performance Debugging with Unsupervised Learning. ACM SIGOPS Oper. Syst. Rev. 56(1): 34-41 (2022) - [c32]Shuang Chen, Angela Jin, Christina Delimitrou, José F. Martínez:
ReTail: Opting for Learning Simplicity to Enable QoS-Aware Power Management in the Cloud. HPCA 2022: 155-168 - [c31]Shuang Chen, Yi Jiang, Christina Delimitrou, José F. Martínez:
PIMCloud: QoS-Aware Resource Management of Latency-Critical Applications in Clouds with Processing-in-Memory. HPCA 2022: 1086-1099 - [c30]Liam Patterson, David Pigorovsky, Brian Dempsey, Nikita Lazarev, Aditya Shah, Clara Steinhoff, Ariana Bruno, Justin Hu, Christina Delimitrou:
HiveMind: a hardware-software system stack for serverless edge swarms. ISCA 2022: 800-816 - [i20]Mingyu Liang, Yu Gan, Yueying Li, Carlos Torres, Abhishek Dhanotia, Mahesh Ketkar, Christina Delimitrou:
End-to-End Application Cloning for Distributed Cloud Microservices with Ditto. CoRR abs/2212.13867 (2022) - [i19]Zhuangzhuang Zhou, Yanqi Zhang, Christina Delimitrou:
QoS-Aware Resource Management for Multi-phase Serverless Workflows with Aquatope. CoRR abs/2212.13882 (2022) - 2021
- [j14]Weijia Song, Christina Delimitrou, Zhiming Shen, Robbert van Renesse, Hakim Weatherspoon, Lotfi Benmohamed, Frederic J. de Vaulx, Charif Mahmoudi:
CacheInspector: Reverse Engineering Cache Resources in Public Clouds. ACM Trans. Archit. Code Optim. 18(3): 35:1-35:25 (2021) - [c29]Nikita Lazarev, Shaojie Xiang, Neil Adit, Zhiru Zhang, Christina Delimitrou:
Dagger: efficient and fast RPCs in cloud microservices with near-memory reconfigurable NICs. ASPLOS 2021: 36-51 - [c28]Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou:
Sage: practical and scalable ML-driven performance debugging in microservices. ASPLOS 2021: 135-151 - [c27]Yanqi Zhang, Weizhe Hua, Zhuangzhuang Zhou, G. Edward Suh, Christina Delimitrou:
Sinan: ML-based and QoS-aware resource management for cloud microservices. ASPLOS 2021: 167-181 - [c26]Christina Delimitrou:
Leveraging ML to handle the increasing complexity of the cloud. CF 2021: 2 - [c25]Yanqi Zhang, Iñigo Goiri, Gohar Irfan Chaudhry, Rodrigo Fonseca, Sameh Elnikety, Christina Delimitrou, Ricardo Bianchini:
Faster and Cheaper Serverless Computing on Harvested Resources. SOSP 2021: 724-739 - [i18]Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou:
Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices. CoRR abs/2101.00267 (2021) - [i17]Yanqi Zhang, Weizhe Hua, Zhuangzhuang Zhou, G. Edward Suh, Christina Delimitrou:
Sinan: Data-Driven, QoS-Aware Cluster Management for Microservices. CoRR abs/2105.13424 (2021) - [i16]Nikita Lazarev, Shaojie Xiang, Neil Adit, Zhiru Zhang, Christina Delimitrou:
Dagger: Accelerating RPCs in Cloud Microservices Through Tightly-Coupled Reconfigurable NICs. CoRR abs/2106.01482 (2021) - [i15]Yanqi Zhang, Weizhe Hua, Zhuangzhuang Zhou, G. Edward Suh, Christina Delimitrou:
Sinan: Data Driven Resource Management for Cloud Microservices. CoRR abs/2112.06254 (2021) - [i14]Yu Gan, Mingyu Liang, Sundar Dev, David Lo, Christina Delimitrou:
Sage: Leveraging ML to Diagnose Unpredictable Performance in Cloud Microservices. CoRR abs/2112.06263 (2021) - [i13]Liam Patterson, David Pigorovsky, Brian Dempsey, Nikita Lazarev, Aditya Shah, Clara Steinhoff, Ariana Bruno, Justin Hu, Christina Delimitrou:
A Hardware-Software Stack for Serverless Edge Swarms. CoRR abs/2112.14831 (2021) - 2020
- [j13]Nikita Lazarev, Neil Adit, Shaojie Xiang, Zhiru Zhang, Christina Delimitrou:
Dagger: Towards Efficient RPCs in Cloud Microservices With Near-Memory Reconfigurable NICs. IEEE Comput. Archit. Lett. 19(2): 134-138 (2020) - [j12]Yu Gan, Yanqi Zhang, Dailun Cheng, Ankitha Shetty, Priyal Rathi, Nayan Katarki, Ariana Bruno, Justin Hu, Brian Ritchken, Brendon Jackson, Kelvin Hu, Meghna Pancholi, Yuan He, Brett Clancy, Chris Colen, Fukang Wen, Catherine Leung, Siyuan Wang, Leon Zaruvinsky, Mateo Espinosa, Rick Lin, Zhongling Liu, Jake Padilla, Christina Delimitrou:
Unveiling the Hardware and Software Implications of Microservices in Cloud and Edge Systems. IEEE Micro 40(3): 10-19 (2020) - [c24]Neeraj Kulkarni, Gonzalo Gonzalez-Pumariega, Amulya Khurana, Christine A. Shoemaker, Christina Delimitrou, David H. Albonesi:
CuttleSys: Data-Driven Resource Management for Interactive Services on Reconfigurable Multicores. MICRO 2020: 650-664 - [e2]Rodrigo Fonseca, Christina Delimitrou, Beng Chin Ooi:
SoCC '20: ACM Symposium on Cloud Computing, Virtual Event, USA, October 19-21, 2020. ACM 2020, ISBN 978-1-4503-8137-6 [contents] - [i12]Shannon Joyner, Michael J. MacCoss, Christina Delimitrou, Hakim Weatherspoon:
Ripple: A Practical Declarative Programming Framework for Serverless Compute. CoRR abs/2001.00222 (2020) - [i11]Justin Hu, Ariana Bruno, Brian Ritchken, Brendon Jackson, Mateo Espinosa, Aditya Shah, Christina Delimitrou:
HiveMind: A Scalable and Serverless Coordination Control Platform for UAV Swarms. CoRR abs/2002.01419 (2020) - [i10]Nikita Lazarev, Neil Adit, Shaojie Xiang, Zhiru Zhang, Christina Delimitrou:
Dagger: Towards Efficient RPCs in Cloud Microservices with Near-Memory Reconfigurable NICs. CoRR abs/2007.08622 (2020) - [i9]Neeraj Kulkarni, Gonzalo Gonzalez-Pumariega, Amulya Khurana, Christine A. Shoemaker, Christina Delimitrou, David H. Albonesi:
CuttleSys: Data-Driven Resource Management forInteractive Applications on Reconfigurable Multicores. CoRR abs/2008.00329 (2020)
2010 – 2019
- 2019
- [j11]Yu Gan, Yanqi Zhang, Kelvin Hu, Dailun Cheng, Yuan He, Meghna Pancholi, Christina Delimitrou:
Leveraging Deep Learning to Improve Performance Predictability in Cloud Microservices with Seer. ACM SIGOPS Oper. Syst. Rev. 53(1): 34-39 (2019) - [c23]Yu Gan, Yanqi Zhang, Dailun Cheng, Ankitha Shetty, Priyal Rathi, Nayan Katarki, Ariana Bruno, Justin Hu, Brian Ritchken, Brendon Jackson, Kelvin Hu, Meghna Pancholi, Yuan He, Brett Clancy, Chris Colen, Fukang Wen, Catherine Leung, Siyuan Wang, Leon Zaruvinsky, Mateo Espinosa, Rick Lin, Zhongling Liu, Jake Padilla, Christina Delimitrou:
An Open-Source Benchmark Suite for Microservices and Their Hardware-Software Implications for Cloud & Edge Systems. ASPLOS 2019: 3-18 - [c22]Yu Gan, Yanqi Zhang, Kelvin Hu, Dailun Cheng, Yuan He, Meghna Pancholi, Christina Delimitrou:
Seer: Leveraging Big Data to Navigate the Complexity of Performance Debugging in Cloud Microservices. ASPLOS 2019: 19-33 - [c21]Shuang Chen, Christina Delimitrou, José F. Martínez:
PARTIES: QoS-Aware Resource Partitioning for Multiple Interactive Services. ASPLOS 2019: 107-120 - [c20]Zhiming Shen, Zhen Sun, Gur-Eyal Sela, Eugene Bagdasaryan, Christina Delimitrou, Robbert van Renesse, Hakim Weatherspoon:
X-Containers: Breaking Down Barriers to Improve Performance and Isolation of Cloud-Native Containers. ASPLOS 2019: 121-135 - [c19]Neeraj Kulkarni, Feng Qi, Christina Delimitrou:
Pliant: Leveraging Approximation to Improve Datacenter Resource Efficiency. HPCA 2019: 159-171 - [c18]Yanqi Zhang, Yu Gan, Christina Delimitrou:
µqSim: Enabling Accurate and Scalable Simulation for Interactive Microservices. ISPASS 2019: 212-222 - [e1]Christina Delimitrou, Dan R. K. Ports:
11th USENIX Workshop on Hot Topics in Cloud Computing, HotCloud 2019, Renton, WA, USA, July 8, 2019. USENIX Association 2019 [contents] - [i8]Yu Gan, Yanqi Zhang, Kelvin Hu, Dailun Cheng, Yuan He, Meghna Pancholi, Christina Delimitrou:
Leveraging Deep Learning to Improve the Performance Predictability of Cloud Microservices. CoRR abs/1905.00968 (2019) - [i7]Yu Gan, Yanqi Zhang, Dailun Cheng, Ankitha Shetty, Priyal Rathi, Nayan Katarki, Ariana Bruno, Justin Hu, Brian Ritchken, Brendon Jackson, Kelvin Hu, Meghna Pancholi, Yuan He, Brett Clancy, Chris Colen, Fukang Wen, Catherine Leung, Siyuan Wang, Leon Zaruvinsky, Mateo Espinosa, Rick Lin, Zhongling Liu, Jake Padilla, Christina Delimitrou:
An Open-Source Benchmark Suite for Cloud and IoT Microservices. CoRR abs/1905.11055 (2019) - [i6]Yanqi Zhang, Yu Gan, Christina Delimitrou:
uqSim: Scalable and Validated Simulation of Cloud Microservices. CoRR abs/1911.02122 (2019) - 2018
- [j10]Christina Delimitrou, Christos Kozyrakis:
Amdahl's law for tail latency. Commun. ACM 61(8): 65-72 (2018) - [j9]Yu Gan, Christina Delimitrou:
The Architectural Implications of Cloud Microservices. IEEE Comput. Archit. Lett. 17(2): 155-158 (2018) - [j8]Neeraj Kulkarni, Feng Qi, Christina Delimitrou:
Leveraging Approximation to Improve Datacenter Resource Efficiency. IEEE Comput. Archit. Lett. 17(2): 171-174 (2018) - [j7]Christina Delimitrou, Christos Kozyrakis:
Uncovering the Security Implications of Cloud Multi-Tenancy with Bolt. IEEE Micro 38(3): 86-97 (2018) - [c17]Francisco Romero, Christina Delimitrou:
Mage: online and interference-aware scheduling for multi-scale heterogeneous systems. PACT 2018: 19:1-19:13 - [c16]Yu Gan, Meghna Pancholi, Siyuan Hu, Dailun Cheng, Yuan He, Christina Delimitrou:
Seer: Leveraging Big Data to Navigate the Increasing Complexity of Cloud Debugging. HotCloud 2018 - [i5]Neeraj Kulkarni, Feng Qi, Christina Delimitrou:
Pliant: Leveraging Approximation to Improve Datacenter Resource Efficiency. CoRR abs/1804.05671 (2018) - [i4]Francisco Romero, Christina Delimitrou:
Mage: Online Interference-Aware Scheduling in Multi-Scale Heterogeneous Systems. CoRR abs/1804.06462 (2018) - [i3]Yu Gan, Meghna Pancholi, Dailun Cheng, Siyuan Hu, Yuan He, Christina Delimitrou:
Seer: Leveraging Big Data to Navigate the Increasing Complexity of Cloud Debugging. CoRR abs/1804.09136 (2018) - [i2]Justin Hu, Ariana Bruno, Drew Zagieboylo, Mark Zhao, Brian Ritchken, Brendon Jackson, Joo Yeon Chae, Francois Mertil, Mateo Espinosa, Christina Delimitrou:
To Centralize or Not to Centralize: A Tale of Swarm Coordination. CoRR abs/1805.01786 (2018) - [i1]Yu Gan, Christina Delimitrou:
The Architectural Implications of Microservices in the Cloud. CoRR abs/1805.10351 (2018) - 2017
- [j6]Mingyu Gao, Christina Delimitrou, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Christos Kozyrakis:
DRAF: A Low-Power DRAM-Based Reconfigurable Acceleration Fabric. IEEE Micro 37(3): 70-78 (2017) - [c15]Christina Delimitrou, Christos Kozyrakis:
Bolt: I Know What You Did Last Summer... In The Cloud. ASPLOS 2017: 599-613 - [c14]Shuang Chen, Shay GalOn, Christina Delimitrou, Srilatha Manne, José F. Martínez:
Workload characterization of interactive cloud services on big and small server platforms. IISWC 2017: 125-134 - 2016
- [j5]Christina Delimitrou, Christos Kozyrakis:
Security Implications of Data Mining in Cloud Scheduling. IEEE Comput. Archit. Lett. 15(2): 109-112 (2016) - [c13]Christina Delimitrou, Christos Kozyrakis:
HCloud: Resource-Efficient Provisioning in Shared Cloud Systems. ASPLOS 2016: 473-488 - [c12]David Koeplinger, Raghu Prabhakar, Yaqi Zhang, Christina Delimitrou, Christos Kozyrakis, Kunle Olukotun:
Automatic Generation of Efficient Accelerators for Reconfigurable Hardware. ISCA 2016: 115-127 - [c11]Mingyu Gao, Christina Delimitrou, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Christos Kozyrakis:
DRAF: A Low-Power DRAM-Based Reconfigurable Acceleration Fabric. ISCA 2016: 506-518 - 2015
- [c10]Christina Delimitrou, Daniel Sánchez, Christos Kozyrakis:
Tarcil: reconciling scheduling speed and quality in large shared clusters. SoCC 2015: 97-110 - 2014
- [j4]Christina Delimitrou, Christos Kozyrakis:
Quality-of-Service-Aware Scheduling in Heterogeneous Data centers with Paragon. IEEE Micro 34(3): 17-30 (2014) - [c9]Christina Delimitrou, Christos Kozyrakis:
Quasar: resource-efficient and QoS-aware cluster management. ASPLOS 2014: 127-144 - 2013
- [j3]Christina Delimitrou, Christos Kozyrakis:
The Netflix Challenge: Datacenter Edition. IEEE Comput. Archit. Lett. 12(1): 29-32 (2013) - [j2]Christina Delimitrou, Christos Kozyrakis:
QoS-Aware scheduling in heterogeneous datacenters with paragon. ACM Trans. Comput. Syst. 31(4): 12 (2013) - [c8]Christina Delimitrou, Christos Kozyrakis:
Paragon: QoS-aware scheduling for heterogeneous datacenters. ASPLOS 2013: 77-88 - [c7]Christina Delimitrou, Nick Bambos, Christos Kozyrakis:
QoS-Aware Admission Control in Heterogeneous Datacenters. ICAC 2013: 291-296 - [c6]Christina Delimitrou, Christos Kozyrakis:
iBench: Quantifying interference for datacenter applications. IISWC 2013: 23-33 - 2012
- [j1]Christina Delimitrou, Sriram Sankar, Kushagra Vaid, Christos Kozyrakis:
Decoupling Datacenter Storage Studies from Access to Large-Scale Applications. IEEE Comput. Archit. Lett. 11(2): 53-56 (2012) - [c5]Christina Delimitrou, Sriram Sankar, Aman Kansal, Christos Kozyrakis:
ECHO: Recreating network traffic maps for datacenters with tens of thousands of servers. IISWC 2012: 14-24 - 2011
- [c4]Christina Delimitrou, Christos Kozyrakis:
Cross-Examination of Datacenter Workload Modeling Techniques. ICDCS Workshops 2011: 72-79 - [c3]Christina Delimitrou, Sriram Sankar, Kushagra Vaid, Christos Kozyrakis:
Decoupling datacenter studies from access to large-scale applications: A modeling approach for storage workloads. IISWC 2011: 51-60 - [c2]Christina Delimitrou, Sriram Sankar, Kushagra Vaid, Christos Kozyrakis:
Storage I/O generation and replay for datacenter applications. ISPASS 2011: 123-124 - [c1]Christina Delimitrou, Sriram Sankar, Badriddine M. Khessib, Kushagra Vaid, Christos Kozyrakis:
Time and Cost-Efficient Modeling and Generation of Large-Scale TPCC/TPCE/TPCH Workloads. TPCTC 2011: 146-162
Coauthor Index
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last updated on 2024-12-02 21:30 CET by the dblp team
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