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Journal Articles

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2024
[j10]
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André Bauer, Haochen Pan, Ryan Chard, Yadu N. Babuji, Josh Bryan, Devesh Tiwari, Ian T. Foster, Kyle Chard:
The globus compute dataset: An open function-as-a-service dataset from the edge to the cloud. Future Gener. Comput. Syst. 153: 558-574 (2024)
[j9]
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Rohan Basu Roy, Devesh Tiwari:
StarShip: Mitigating I/O Bottlenecks in Serverless Computing for Scientific Workflows. Proc. ACM Meas. Anal. Comput. Syst. 8(1): 2:1-2:29 (2024)
2022
[j8]
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Fritz Previlon, Charu Kalra, Devesh Tiwari, David R. Kaeli:
Characterizing and Exploiting Soft Error Vulnerability Phase Behavior in GPU Applications. IEEE Trans. Dependable Secur. Comput. 19(1): 288-300 (2022)
2021
[j7]
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Mohit Kumar, Saurabh Gupta, Tirthak Patel, Michael Wilder, Weisong Shi, Song Fu, Christian Engelmann, Devesh Tiwari:
Study of interconnect errors, network congestion, and applications characteristics for throttle prediction on a large scale HPC system. J. Parallel Distributed Comput. 153: 29-43 (2021)
2020
[j6]
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Heriberto A. Garcia, Trenton Couture, Amit Galor, Jessica M. Topple, Wei Huang, Devesh Tiwari, Purnima Ratilal:
Comparing Performances of Five Distinct Automatic Classifiers for Fin Whale Vocalizations in Beamformed Spectrograms of Coherent Hydrophone Array. Remote. Sens. 12(2): 326 (2020)
[j5]
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Auroop R. Ganguly, Tanay Mehta, Tirthak Patel, Ravi Sundaram, Devesh Tiwari:
Resilience and coevolution of preferential interdependent networks. Soc. Netw. Anal. Min. 10(1): 3 (2020)
2019
[j4]
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Hyogi Sim, Geoffroy Vallée, Youngjae Kim, Sudharshan S. Vazhkudai, Devesh Tiwari, Ali Raza Butt:
An Analysis Workflow-Aware Storage System for Multi-Core Active Flash Arrays. IEEE Trans. Parallel Distributed Syst. 30(2): 271-285 (2019)
2017
[j3]
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Qingrui Liu, Changhee Jung, Dongyoon Lee, Devesh Tiwari:
Compiler-Directed Soft Error Detection and Recovery to Avoid DUE and SDC via Tail-DMR. ACM Trans. Embed. Comput. Syst. 16(2): 32:1-32:26 (2017)
[j2]
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Jaimie Kelley, Christopher Stewart, Nathaniel Morris, Devesh Tiwari, Yuxiong He, Sameh Elnikety:
Obtaining and Managing Answer Quality for Online Data-Intensive Services. ACM Trans. Model. Perform. Evaluation Comput. Syst. 2(2): 11:1-11:31 (2017)
2016
[j1]
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Shinan Wang, Bing Luo, Weisong Shi, Devesh Tiwari:
Application configuration selection for energy-efficient execution on multicore systems. J. Parallel Distributed Comput. 87: 43-54 (2016)

Conference and Workshop Papers

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2024
[c110]
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Rohan Basu Roy, Tirthak Patel, Rohan Garg, Devesh Tiwari:
CodeCrunch: Improving Serverless Performance via Function Compression and Cost-Aware Warmup Location Optimization. ASPLOS (1) 2024: 85-101
[c109]
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Hanfei Yu, Rohan Basu Roy, Christian Fontenot, Devesh Tiwari, Jian Li, Hong Zhang, Hao Wang, Seung-Jong Park:
RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing. ASPLOS (1) 2024: 335-350
[c108]
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Aditya Ranjan, Tirthak Patel, Daniel Silver, Harshitta Gandhi, Devesh Tiwari:
ProxiML: Building Machine Learning Classifiers for Photonic Quantum Computing. ASPLOS (3) 2024: 834-849
[c107]
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Rohan Basu Roy, Raghavendra Kanakagiri, Yankai Jiang, Devesh Tiwari:
The Hidden Carbon Footprint of Serverless Computing. SoCC 2024: 570-579
[c106]
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Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari:
Sprout: Green Generative AI with Carbon-Efficient LLM Inference. EMNLP 2024: 21799-21813
[c105]
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Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Interpretable Analysis of Production GPU Clusters Monitoring Data via Association Rule Mining. IPDPS 2024: 337-349
[c104]
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Yankai Jiang, Rohan Basu Roy, Baolin Li, Devesh Tiwari:
EcoLife: Carbon-Aware Serverless Function Scheduling for Sustainable Computing. SC 2024: 12
[c103]
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Ana Luisa Veroneze Solórzano, Kento Sato, Keiji Yamamoto, Fumiyoshi Shoji, Jim M. Brandt, Benjamin Schwaller, Sara Petra Walton, Jennifer Green, Devesh Tiwari:
Toward Sustainable HPC: In-Production Deployment of Incentive-Based Power Efficiency Mechanism on the Fugaku Supercomputer. SC 2024: 24
[c102]
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Hanfei Yu, Hao Wang, Devesh Tiwari, Jian Li, Seung-Jong Park:
Stellaris: Staleness-Aware Distributed Reinforcement Learning with Serverless Computing. SC 2024: 39
[c101]
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Daniel Silver, Aditya Ranjan, Rakesh Achutha, Tirthak Patel, Devesh Tiwari:
LexiQL: Quantum Natural Language Processing on NISQ-era Machines. SC 2024: 67
[c100]
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Rohan Basu Roy, Devesh Tiwari:
StarShip: Mitigating I/O Bottlenecks in Serverless Computing for Scientific Workflows. SIGMETRICS/Performance (Abstracts) 2024: 79-80
2023
[c99]
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Daniel Silver, Tirthak Patel, Aditya Ranjan, Harshitta Gandhi, William Cutler, Devesh Tiwari:
SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers. AAAI 2023: 9846-9854
[c98]
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  - conf/cloud/ZhaoSMLB0TG23
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Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally:
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale. SoCC 2023: 588-596
[c97]
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  - conf/cluster/BoitoBCCCEEGGHHHIJJKMOPPRSSSTWY23
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Francieli Boito, Jim M. Brandt, Valeria Cardellini, Philip H. Carns, Florina M. Ciorba, Hilary Egan, Ahmed Eleliemy, Ann C. Gentile, Thomas Gruber, Jeff Hanson, Utz-Uwe Haus, Kevin A. Huck, Thomas Ilsche, Thomas Jakobsche, Terry R. Jones, Sven Karlsson, Abdullah Mueen, Michael Ott, Tapasya Patki, Ivy Peng, Krishnan Raghavan, Stephen Simms, Kathleen Shoga, Michael T. Showerman, Devesh Tiwari, Torsten Wilde, Keiji Yamamoto:
Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations. CLUSTER Workshops 2023: 37-43
[c96]
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  - conf/dac/PatelT23
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Tirthak Patel, Devesh Tiwari:
Invited: Building Robust Quantum System Software for Technology-Specific Characteristics. DAC 2023: 1-4
[c95]
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  - conf/dsn/GiustoDMBGTR23
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Edoardo Giusto, Emanuele Dri, Bartolomeo Montrucchio, Betis Baheri, Qiang Guan, Devesh Tiwari, Paolo Rech:
Quantum Computing Reliability: Problems, Tools, and Potential Solutions. DSN-S 2023: 2-3
[c94]
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Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources. HPDC 2023: 3-16
[c93]
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  - conf/hpdc/RoyPLBCT23
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Rohan Basu Roy, Tirthak Patel, Richmond Liew, Yadu Nand Babuji, Ryan Chard, Devesh Tiwari:
ProPack: Executing Concurrent Serverless Functions Faster and Cheaper. HPDC 2023: 211-224
[c92]
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Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally:
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference. HPEC 2023: 1-9
[c91]
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  - conf/iccv/SilverRPGCT23
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Daniel Silver, Aditya Ranjan, Tirthak Patel, Harshitta Gandhi, William Cutler, Devesh Tiwari:
MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers. ICCV 2023: 7007-7016
[c90]
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  - conf/micro/LiYYZXDTYTWC23
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Zhengang Li, Geng Yuan, Tomoharu Yamauchi, Masoud Zabihi, Yanyue Xie, Peiyan Dong, Xulong Tang, Nobuyuki Yoshikawa, Devesh Tiwari, Yanzhi Wang, Olivia Chen:
SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices. MICRO 2023: 584-598
[c89]
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  - conf/sc/LiRWSGT23
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Baolin Li, Rohan Basu Roy, Daniel Wang, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems. SC 2023: 19:1-19:15
[c88]
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Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service. SC 2023: 20:1-20:15
[c87]
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  - conf/sc/PatelST23
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Tirthak Patel, Daniel Silver, Devesh Tiwari:
GRAPHINE: Enhanced Neutral Atom Quantum Computing using Application-Specific Rydberg Atom Arrangement. SC 2023: 61:1-61:15
[c86]
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  - conf/sc/RanjanPGSCT23
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Aditya Ranjan, Tirthak Patel, Harshitta Gandhi, Daniel Silver, William Cutler, Devesh Tiwari:
Experimental Evaluation of Xanadu X8 Photonic Quantum Computer: Error Measurement, Characterization and Implications. SC 2023: 63:1-63:13
2022
[c85]
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  - conf/aaai/SilverPT22
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Daniel Silver, Tirthak Patel, Devesh Tiwari:
QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers. AAAI 2022: 8324-8332
[c84]
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Tirthak Patel, Ed Younis, Costin Iancu, Wibe de Jong, Devesh Tiwari:
QUEST: systematically approximating Quantum circuits for higher output fidelity. ASPLOS 2022: 514-528
[c83]
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Rohan Basu Roy, Tirthak Patel, Devesh Tiwari:
IceBreaker: warming serverless functions better with heterogeneity. ASPLOS 2022: 753-767
[c82]
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  - conf/cloud/LiPSGT22
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Baolin Li, Tirthak Patel, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
MISO: exploiting multi-instance GPU capability on multi-tenant GPU clusters. SoCC 2022: 173-189
[c81]
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  - conf/cluster/PatelTKARL22
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Tirthak Patel, Devesh Tiwari, Raj Kettimuthu, William E. Allcock, Paul Rich, Zhengchun Liu:
What does Inter-Cluster Job Submission and Execution Behavior Reveal to Us? CLUSTER 2022: 35-46
[c80]
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Tirthak Patel, Daniel Silver, Devesh Tiwari:
OPTIC: A Practical Quantum Binary Classifier for Near-Term Quantum Computers. DATE 2022: 334-339
[c79]
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  - conf/date/MarufBLTQB22
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Adnan Maruf, Sashri Brahmakshatriya, Baolin Li, Devesh Tiwari, Gang Quan, Janki Bhimani:
Do Temperature and Humidity Exposures Hurt or Benefit Your SSDs? DATE 2022: 352-357
[c78]
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Baolin Li, Rohin Arora, Siddharth Samsi, Tirthak Patel, William Arcand, David Bestor, Chansup Byun, Rohan Basu Roy, Bill Bergeron, John T. Holodnak, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Peter Michaleas, Joseph McDonald, Lauren Milechin, Julie Mullen, Andrew Prout, Benjamin Price, Albert Reuther, Antonio Rosa, Matthew L. Weiss, Charles Yee, Daniel Edelman, Allan Vanterpool, Anson Cheng, Vijay Gadepally, Devesh Tiwari:
AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications. HPCA 2022: 1224-1237
[c77]
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Devesh Tiwari:
Bringing Serverless Computing to the HPC Community. HiPS@HPDC 2022: 1-2
[c76]
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Nathan C. Frey, Baolin Li, Joseph McDonald, Dan Zhao, Michael Jones, David Bestor, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
Benchmarking Resource Usage for Efficient Distributed Deep Learning. HPEC 2022: 1-8
[c75]
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Baolin Li, Tirthak Patel, Vijay Gadepally, Karen Gettings, Siddharth Samsi, Devesh Tiwari:
DASH: Scheduling Deep Learning Workloads on Multi-Generational GPU-Accelerated Clusters. HPEC 2022: 1-7
[c74]
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Benny J. Tang, Qiqi Chen, Matthew L. Weiss, Nathan C. Frey, Joseph McDonald, David Bestor, Charles Yee, William Arcand, William Bergeron, Chansup Byun, Daniel Edelman, Michael Houle, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Andrew Bowne, Lindsey McEvoy, Baolin Li, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
The MIT Supercloud Workload Classification Challenge. IPDPS Workshops 2022: 708-714
[c73]
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Baolin Li, Vijay Gadepally, Siddharth Samsi, Devesh Tiwari:
Characterizing Multi-Instance GPU for Machine Learning Workloads. IPDPS Workshops 2022: 724-731
[c72]
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  - conf/isca/PatelST22
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Tirthak Patel, Daniel Silver, Devesh Tiwari:
Geyser: a compilation framework for quantum computing with neutral atoms. ISCA 2022: 383-395
[c71]
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  - conf/naacl/McDonaldLFTGS22
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Joseph McDonald, Baolin Li, Nathan C. Frey, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models. NAACL-HLT (Findings) 2022: 1962-1970
[c70]
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Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Devesh Tiwari:
Mashup: making serverless computing useful for HPC workflows via hybrid execution. PPoPP 2022: 46-60
[c69]
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Tirthak Patel, Daniel Silver, Devesh Tiwari:
Charter: Identifying the Most-Critical Gate Operations in Quantum Circuits via Amplified Gate Reversibility. SC 2022: 15:1-15:16
[c68]
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Rohan Basu Roy, Tirthak Patel, Devesh Tiwari:
DayDream: Executing Dynamic Scientific Workflows on Serverless Platforms with Hot Starts. SC 2022: 22:1-22:18
2021
[c67]
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Tirthak Patel, Devesh Tiwari:
Qraft: reverse your Quantum circuit and know the correct program output. ASPLOS 2021: 443-455
[c66]
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Amir Taherin, Tirthak Patel, Giorgis Georgakoudis, Ignacio Laguna, Devesh Tiwari:
Examining Failures and Repairs on Supercomputers with Multi-GPU Compute Nodes. DSN 2021: 305-313
[c65]
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Rohan Basu Roy, Tirthak Patel, Raj Kettimuthu, William E. Allcock, Paul Rich, Adam Scovel, Devesh Tiwari:
Operating Liquid-Cooled Large-Scale Systems: Long-Term Monitoring, Reliability Analysis, and Efficiency Measures. HPCA 2021: 881-893
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Baolin Li, Vijay Gadepally, Siddharth Samsi, Mark S. Veillette, Devesh Tiwari:
Serving Machine Learning Inference Using Heterogeneous Hardware. HPEC 2021: 1-8
[c63]
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Siddharth Samsi, Matthew L. Weiss, David Bestor, Baolin Li, Michael Jones, Albert Reuther, Daniel Edelman, William Arcand, Chansup Byun, John Holodnack, Matthew Hubbell, Jeremy Kepner, Anna Klein, Joseph McDonald, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Charles Yee, Benjamin Price, Andrew Prout, Antonio Rosa, Allan Vanterpool, Lindsey McEvoy, Anson Cheng, Devesh Tiwari, Vijay Gadepally:
The MIT Supercloud Dataset. HPEC 2021: 1-8
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Rohan Basu Roy, Tirthak Patel, Devesh Tiwari:
Characterizing and Mitigating the I/O Scalability Challenges for Serverless Applications. IISWC 2021: 74-86
[c61]
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Rohan Basu Roy, Tirthak Patel, Devesh Tiwari:
SATORI: Efficient and Fair Resource Partitioning by Sacrificing Short-Term Benefits for Long-Term Gains^*. ISCA 2021: 292-305
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Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Devesh Tiwari:
Bliss: auto-tuning complex applications using a pool of diverse lightweight learning models. PLDI 2021: 1280-1295
[c59]
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Baolin Li, Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Karen Gettings, Devesh Tiwari:
RIBBON: cost-effective and qos-aware deep learning model inference using a diverse pool of cloud computing instances. SC 2021: 24
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Emily Costa, Tirthak Patel, Benjamin Schwaller, Jim M. Brandt, Devesh Tiwari:
Systematically inferring I/O performance variability by examining repetitive job behavior. SC 2021: 33
2020
[c57]
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Tirthak Patel, Suren Byna, Glenn K. Lockwood, Nicholas J. Wright, Philip H. Carns, Robert B. Ross, Devesh Tiwari:
Uncovering Access, Reuse, and Sharing Characteristics of I/O-Intensive Files on Large-Scale Production HPC Systems. FAST 2020: 91-101
[c56]
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Tirthak Patel, Rohan Garg, Devesh Tiwari:
GIFT: A Coupon Based Throttle-and-Reward Mechanism for Fair and Efficient I/O Bandwidth Management on Parallel Storage Systems. FAST 2020: 103-119
[c55]
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Sidi Lu, Bing Luo, Tirthak Patel, Yongtao Yao, Devesh Tiwari, Weisong Shi:
Making Disk Failure Predictions SMARTer! FAST 2020: 151-167
[c54]
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Tirthak Patel, Devesh Tiwari:
CLITE: Efficient and QoS-Aware Co-Location of Multiple Latency-Critical Jobs for Warehouse Scale Computers. HPCA 2020: 193-206
[c53]
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Tirthak Patel, Devesh Tiwari:
DisQ: A Novel Quantum Output State Classification Method on IBM Quantum Computers using OpenPulse. ICCAD 2020: 139:1-139:9
[c52]
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Devesh Tiwari, David R. Kaeli:
Message from the Program Chairs : IISWC 2020. IISWC 2020: x-xi
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Tirthak Patel, Adam Wagenhäuser, Christopher Eibel, Timo Hönig, Thomas Zeiser, Devesh Tiwari:
What does Power Consumption Behavior of HPC Jobs Reveal? : Demystifying, Quantifying, and Predicting Power Consumption Characteristics. IPDPS 2020: 799-809
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Tirthak Patel, Devesh Tiwari:
Veritas: accurately estimating the correct output on noisy intermediate-scale quantum computers. SC 2020: 15
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Tirthak Patel, Abhay Potharaju, Baolin Li, Rohan Basu Roy, Devesh Tiwari:
Experimental evaluation of NISQ quantum computers: error measurement, characterization, and implications. SC 2020: 46
[c48]
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Tirthak Patel, Zhengchun Liu, Raj Kettimuthu, Paul Rich, William E. Allcock, Devesh Tiwari:
Job characteristics on large-scale systems: long-term analysis, quantification, and implications. SC 2020: 84
[c47]
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Pradyumna Kaushik, Srinidhi Raghavendra, Madhusudhan Govindaraju, Devesh Tiwari:
Exploring the Potential of using Power as a First Class Parameter for Resource Allocation in Apache Mesos Managed Clouds. UCC 2020: 216-226
[c46]
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Tirthak Patel, Baolin Li, Rohan Basu Roy, Devesh Tiwari:
UREQA: Leveraging Operation-Aware Error Rates for Effective Quantum Circuit Mapping on NISQ-Era Quantum Computers. USENIX ATC 2020: 705-711
2019
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Gourav Rattihalli, Madhusudhan Govindaraju, Hui Lu, Devesh Tiwari:
Exploring Potential for Non-Disruptive Vertical Auto Scaling and Resource Estimation in Kubernetes. CLOUD 2019: 33-40
[c44]
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Gourav Rattihalli, Madhusudhan Govindaraju, Devesh Tiwari:
Towards Enabling Dynamic Resource Estimation and Correction for Improving Utilization in an Apache Mesos Cloud Environment. CCGRID 2019: 188-197
[c43]
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Janki Bhimani, Tirthak Patel, Ningfang Mi, Devesh Tiwari:
What does Vibration do to Your SSD? DAC 2019: 15
[c42]
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Fritz G. Previlon, Charu Kalra, Devesh Tiwari, David R. Kaeli:
PCFI: Program Counter Guided Fault Injection for Accelerating GPU Reliability Assessment. DATE 2019: 308-311
[c41]
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Tirthak Patel, Devesh Tiwari:
PERQ: Fair and Efficient Power Management of Power-Constrained Large-Scale Computing Systems. HPDC 2019: 171-182
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Song Huang, Shuwen Liang, Song Fu, Weisong Shi, Devesh Tiwari, Hsing-bung Chen:
Characterizing Disk Health Degradation and Proactively Protecting Against Disk Failures for Reliable Storage Systems. ICAC 2019: 157-166
[c39]
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Tirthak Patel, Suren Byna, Glenn K. Lockwood, Devesh Tiwari:
Revisiting I/O behavior in large-scale storage systems: the expected and the unexpected. SC 2019: 65:1-65:13
2018
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Auroop R. Ganguly, Tanbay Mehta, Ravi Sundaram, Devesh Tiwari:
Resilience and the Coevolution of Interdependent Multiplex Networks. ASONAM 2018: 226-233
[c37]
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Shuwen Liang, Zhi Qiao, Jacob Hochstetler, Song Huang, Song Fu, Weisong Shi, Devesh Tiwari, Hsing-Bung Chen, Bradley W. Settlemyer, David Richard Montoya:
Reliability Characterization of Solid State Drives in a Scalable Production Datacenter. IEEE BigData 2018: 3341-3349
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Rohan Garg, Tirthak Patel, Gene Cooperman, Devesh Tiwari:
Shiraz: Exploiting System Reliability and Application Resilience Characteristics to Improve Large Scale System Throughput. DSN 2018: 83-94
[c35]
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Bin Nie, Ji Xue, Saurabh Gupta, Tirthak Patel, Christian Engelmann, Evgenia Smirni, Devesh Tiwari:
Machine Learning Models for GPU Error Prediction in a Large Scale HPC System. DSN 2018: 95-106
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Mohit Kumar, Saurabh Gupta, Tirthak Patel, Michael Wilder, Weisong Shi, Song Fu, Christian Engelmann, Devesh Tiwari:
Understanding and Analyzing Interconnect Errors and Network Congestion on a Large Scale HPC System. DSN 2018: 107-114
[c33]
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Kun Tang, Xubin He, Saurabh Gupta, Sudharshan S. Vazhkudai, Devesh Tiwari:
Exploring the Optimal Platform Configuration for Power-Constrained HPC Workflows. ICCCN 2018: 1-9
2017
[c32]
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Kun Tang, Devesh Tiwari, Saurabh Gupta, Sudharshan S. Vazhkudai, Xubin He:
Effective Running of End-to-End HPC Workflows on Emerging Heterogeneous Architectures. CLUSTER 2017: 344-348
[c31]
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Bin Nie, Ji Xue, Saurabh Gupta, Christian Engelmann, Evgenia Smirni, Devesh Tiwari:
Characterizing Temperature, Power, and Soft-Error Behaviors in Data Center Systems: Insights, Challenges, and Opportunities. MASCOTS 2017: 22-31
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Kun Tang, Ping Huang, Xubin He, Tao Lu, Sudharshan S. Vazhkudai, Devesh Tiwari:
Toward Managing HPC Burst Buffers Effectively: Draining Strategy to Regulate Bursty I/O Behavior. MASCOTS 2017: 87-98
[c29]
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Fritz G. Previlon, Babatunde Egbantan, Devesh Tiwari, Paolo Rech, David R. Kaeli:
Combining architectural fault-injection and neutron beam testing approaches toward better understanding of GPU soft-error resilience. MWSCAS 2017: 898-901
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Saurabh Gupta, Tirthak Patel, Christian Engelmann, Devesh Tiwari:
Failures in large scale systems: long-term measurement, analysis, and implications. SC 2017: 44
[c27]
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Sudharshan S. Vazhkudai, Ross G. Miller, Devesh Tiwari, Christopher Zimmer, Feiyi Wang, Sarp Oral, Raghul Gunasekaran, Deryl Steinert:
GUIDE: a scalable information directory service to collect, federate, and analyze logs for operational insights into a leadership HPC facility. SC 2017: 45
2016
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Kun Tang, Devesh Tiwari, Saurabh Gupta, Ping Huang, Qiqi Lu, Christian Engelmann, Xubin He:
Power-Capping Aware Checkpointing: On the Interplay Among Power-Capping, Temperature, Reliability, Performance, and Energy. DSN 2016: 311-322
[c25]
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Bin Nie, Devesh Tiwari, Saurabh Gupta, Evgenia Smirni, James H. Rogers:
A large-scale study of soft-errors on GPUs in the field. HPCA 2016: 519-530
[c24]
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Jaimie Kelley, Christopher Stewart, Devesh Tiwari, Saurabh Gupta:
Adaptive Power Profiling for Many-Core HPC Architectures. ICAC 2016: 179-188
[c23]
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Leonardo Arturo Bautista-Gomez, Ana Gainaru, Swann Perarnau, Devesh Tiwari, Saurabh Gupta, Christian Engelmann, Franck Cappello, Marc Snir:
Reducing Waste in Extreme Scale Systems through Introspective Analysis. IPDPS 2016: 212-221
[c22]
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Qingrui Liu, Changhee Jung, Dongyoon Lee, Devesh Tiwari:
Low-cost soft error resilience with unified data verification and fine-grained recovery for acoustic sensor based detection. MICRO 2016: 25:1-25:12
[c21]
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Qingrui Liu, Changhee Jung, Dongyoon Lee, Devesh Tiwari:
Compiler-directed lightweight checkpointing for fine-grained guaranteed soft error recovery. SC 2016: 228-239
[c20]
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Anshu Dubey, Hajime Fujita, Daniel T. Graves, Andrew A. Chien, Devesh Tiwari:
Granularity and the cost of error recovery in resilient AMR scientific applications. SC 2016: 492-501
2015
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Ruijun Wang, Devesh Tiwari, Jun Wang:
Low Power Job Scheduler for Supercomputers: A Rule-Based Power-Aware Scheduler. DSDIS 2015: 732-733
[c18]
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Saurabh Gupta, Devesh Tiwari, Christopher Jantzi, James H. Rogers, Don Maxwell:
Understanding and Exploiting Spatial Properties of System Failures on Extreme-Scale HPC Systems. DSN 2015: 37-44
[c17]
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Devesh Tiwari, Saurabh Gupta, James H. Rogers, Don Maxwell, Paolo Rech, Sudharshan S. Vazhkudai, Daniel Oliveira, Dave Londo, Nathan DeBardeleben, Philippe Olivier Alexandre Navaux, Luigi Carro, Arthur S. Bland:
Understanding GPU errors on large-scale HPC systems and the implications for system design and operation. HPCA 2015: 331-342
[c16]
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Jaimie Kelley, Christopher Stewart, Nathaniel Morris, Devesh Tiwari, Yuxiong He, Sameh Elnikety:
Measuring and Managing Answer Quality for Online Data-Intensive Services. ICAC 2015: 167-176
[c15]
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Qingrui Liu, Changhee Jung, Dongyoon Lee, Devesh Tiwari:
Clover: Compiler Directed Lightweight Soft Error Resilience. LCTES 2015: 2:1-2:10
[c14]
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Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai, Devesh Tiwari, Ali Anwar, Ali Raza Butt, Lavanya Ramakrishnan:
AnalyzeThis: an analysis workflow-aware storage system. SC 2015: 20:1-20:12
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Devesh Tiwari, Saurabh Gupta, George Gallarno, Jim Rogers, Don Maxwell:
Reliability lessons learned from GPU experience with the Titan supercomputer at Oak Ridge leadership computing facility. SC 2015: 38:1-38:12
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Lipeng Wan, Feiyi Wang, Sarp Oral, Devesh Tiwari, Sudharshan S. Vazhkudai, Qing Cao:
A practical approach to reconciling availability, performance, and capacity in provisioning extreme-scale storage systems. SC 2015: 75:1-75:12
2014
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Devesh Tiwari, Saurabh Gupta, Sudharshan S. Vazhkudai:
Lazy Checkpointing: Exploiting Temporal Locality in Failures to Mitigate Checkpointing Overheads on Extreme-Scale Systems. DSN 2014: 25-36
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Feiyi Wang, Sarp Oral, Saurabh Gupta, Devesh Tiwari, Sudharshan S. Vazhkudai:
Improving large-scale storage system performance via topology-aware and balanced data placement. ICPADS 2014: 656-663
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Devesh Tiwari, Yan Solihin:
MapReuse: Reusing Computation in an In-Memory MapReduce System. IPDPS 2014: 61-71
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Sarp Oral, James Simmons, Jason Hill, Dustin Leverman, Feiyi Wang, Matthew A. Ezell, Ross G. Miller, Douglas Fuller, Raghul Gunasekaran, Youngjae Kim, Saurabh Gupta, Devesh Tiwari, Sudharshan S. Vazhkudai, James H. Rogers, David Dillow, Galen M. Shipman, Arthur S. Bland:
Best Practices and Lessons Learned from Deploying and Operating Large-Scale Data-Centric Parallel File Systems. SC 2014: 217-228
2013
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Devesh Tiwari, Simona Boboila, Sudharshan S. Vazhkudai, Youngjae Kim, Xiaosong Ma, Peter Desnoyers, Yan Solihin:
Active flash: towards energy-efficient, in-situ data analytics on extreme-scale machines. FAST 2013: 119-132
2012
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Devesh Tiwari, Yan Solihin:
Modeling and Analyzing Key Performance Factors of Shared Memory MapReduce. IPDPS 2012: 1306-1317
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Devesh Tiwari, Yan Solihin:
Architectural characterization and similarity analysis of sunspider and Google's V8 Javascript benchmarks. ISPASS 2012: 221-232
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Devesh Tiwari, Sudharshan S. Vazhkudai, Youngjae Kim, Xiaosong Ma, Simona Boboila, Peter Desnoyers:
Reducing Data Movement Costs Using Energy-Efficient, Active Computation on SSD. HotPower 2012
2011
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Sanghoon Lee, Devesh Tiwari, Yan Solihin, James Tuck:
HAQu: Hardware-accelerated queueing for fine-grained threading on a chip multiprocessor. HPCA 2011: 99-110
2010
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Devesh Tiwari, Sanghoon Lee, James Tuck, Yan Solihin:
MMT: Exploiting fine-grained parallelism in dynamic memory management. IPDPS 2010: 1-12
2009
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Devesh Tiwari, Sanghoon Lee, James Tuck, Yan Solihin:
Memory management thread for heap allocation intensive sequential applications. MEDEA@PACT 2009: 35-42

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2022
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Jon B. Weissman, Abhishek Chandra, Ada Gavrilovska, Devesh Tiwari:
HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022 - 1 July 2022. ACM 2022, ISBN 978-1-4503-9199-3 [contents]

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2024
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Francieli Boito, Jim M. Brandt, Valeria Cardellini, Philip H. Carns, Florina M. Ciorba, Hilary Egan, Ahmed Eleliemy, Ann C. Gentile, Thomas Gruber, Jeff Hanson, Utz-Uwe Haus, Kevin A. Huck, Thomas Ilsche, Thomas Jakobsche, Terry R. Jones, Sven Karlsson, Abdullah Mueen, Michael Ott, Tapasya Patki, Ivy Peng, Krishnan Raghavan, Stephen Simms, Kathleen Shoga, Michael T. Showerman, Devesh Tiwari, Torsten Wilde, Keiji Yamamoto:
Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations. CoRR abs/2401.16971 (2024)
[i27]
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Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally:
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale. CoRR abs/2402.18593 (2024)
[i26]
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Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari:
Toward Sustainable GenAI using Generation Directives for Carbon-Friendly Large Language Model Inference. CoRR abs/2403.12900 (2024)
[i25]
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Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari:
LLM Inference Serving: Survey of Recent Advances and Opportunities. CoRR abs/2407.12391 (2024)
[i24]
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Yankai Jiang, Rohan Basu Roy, Baolin Li, Devesh Tiwari:
EcoLife: Carbon-Aware Serverless Function Scheduling for Sustainable Computing. CoRR abs/2409.02085 (2024)
[i23]
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Rui Li, Devesh Tiwari, Gene Cooperman:
WarmSwap: Sharing Dependencies for Accelerating Cold Starts in Serverless Functions. CoRR abs/2409.09202 (2024)
[i22]
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Daniel Silver, Tirthak Patel, Devesh Tiwari:
Qompose: A Technique to Select Optimal Algorithm- Specific Layout for Neutral Atom Quantum Architectures. CoRR abs/2409.19820 (2024)
[i21]
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Daniel Silver, Tirthak Patel, Aditya Ranjan, William Cutler, Devesh Tiwari:
OrganiQ: Mitigating Classical Resource Bottlenecks of Quantum Generative Adversarial Networks on NISQ-Era Machines. CoRR abs/2409.19823 (2024)
2023
[i20]
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Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Green Carbon Footprint for Model Inference Serving via Exploiting Mixed-Quality Models and GPU Partitioning. CoRR abs/2304.09781 (2023)
[i19]
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Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Sustainable HPC: Modeling, Characterization, and Implications of Carbon Footprint in Modern HPC Systems. CoRR abs/2306.13177 (2023)
[i18]
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Tirthak Patel, Daniel Silver, Aditya Ranjan, Harshitta Gandhi, William Cutler, Devesh Tiwari:
Toward Privacy in Quantum Program Execution On Untrusted Quantum Cloud Computing Machines for Business-sensitive Quantum Needs. CoRR abs/2307.16799 (2023)
[i17]
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Daniel Silver, Tirthak Patel, William Cutler, Aditya Ranjan, Harshitta Gandhi, Devesh Tiwari:
MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers. CoRR abs/2308.11096 (2023)
[i16]
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Zhengang Li, Geng Yuan, Tomoharu Yamauchi, Masoud Zabihi, Yanyue Xie, Peiyan Dong, Xulong Tang, Nobuyuki Yoshikawa, Devesh Tiwari, Yanzhi Wang, Olivia Chen:
SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices. CoRR abs/2309.12212 (2023)
[i15]
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Daniel Silver, Tirthak Patel, Devesh Tiwari:
QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers. CoRR abs/2309.15056 (2023)
[i14]
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Daniel Silver, Tirthak Patel, Aditya Ranjan, Harshitta Gandhi, William Cutler, Devesh Tiwari:
SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers. CoRR abs/2309.15259 (2023)
[i13]
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Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally:
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference. CoRR abs/2310.03003 (2023)
2022
[i12]
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Nathan C. Frey, Baolin Li, Joseph McDonald, Dan Zhao, Michael Jones, David Bestor, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
Benchmarking Resource Usage for Efficient Distributed Deep Learning. CoRR abs/2201.12423 (2022)
[i11]
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  - journals/corr/abs-2204-05839
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Benny J. Tang, Qiqi Chen, Matthew L. Weiss, Nathan C. Frey, Joseph McDonald, David Bestor, Charles Yee, William Arcand, Chansup Byun, Daniel Edelman, Matthew Hubbell, Michael Jones, Jeremy Kepner, Anna Klein, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Andrew Prout, Albert Reuther, Antonio Rosa, Andrew Bowne, Lindsey McEvoy, Baolin Li, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
The MIT Supercloud Workload Classification Challenge. CoRR abs/2204.05839 (2022)
[i10]
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Joseph McDonald, Baolin Li, Nathan C. Frey, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models. CoRR abs/2205.09646 (2022)
[i9]
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Baolin Li, Tirthak Patel, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Using Multi-Instance GPU for Efficient Operation of Multi-Tenant GPU Clusters. CoRR abs/2207.11428 (2022)
[i8]
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Baolin Li, Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Karen Gettings, Devesh Tiwari:
RIBBON: Cost-Effective and QoS-Aware Deep Learning Model Inference using a Diverse Pool of Cloud Computing Instances. CoRR abs/2207.11434 (2022)
[i7]
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Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari:
Building Heterogeneous Cloud System for Machine Learning Inference. CoRR abs/2210.05889 (2022)
[i6]
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Tirthak Patel, Daniel Silver, Devesh Tiwari:
CHARTER: Identifying the Most-Critical Gate Operations in Quantum Circuits via Amplified Gate Reversibility. CoRR abs/2211.09903 (2022)
2021
[i5]
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Tirthak Patel, Devesh Tiwari:
DisQ: A Novel Quantum Output State Classification Method on IBM Quantum Computers using OpenPulse. CoRR abs/2102.01153 (2021)
[i4]
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  - journals/corr/abs-2108-02037
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Siddharth Samsi, Matthew L. Weiss, David Bestor, Baolin Li, Michael Jones, Albert Reuther, Daniel Edelman, William Arcand, Chansup Byun, John Holodnack, Matthew Hubbell, Jeremy Kepner, Anna Klein, Joseph McDonald, Adam Michaleas, Peter Michaleas, Lauren Milechin, Julia S. Mullen, Charles Yee, Benjamin Price, Andrew Prout, Antonio Rosa, Allan Vanterpool, Lindsey McEvoy, Anson Cheng, Devesh Tiwari, Vijay Gadepally:
The MIT Supercloud Dataset. CoRR abs/2108.02037 (2021)
[i3]
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Tirthak Patel, Ed Younis, Costin Iancu, Wibe de Jong, Devesh Tiwari:
Robust and Resource-Efficient Quantum Circuit Approximation. CoRR abs/2108.12714 (2021)
2019
[i2]
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  - journals/corr/abs-1905-09166
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Gourav Rattihalli, Pankaj Saha, Madhusudhan Govindaraju, Devesh Tiwari:
Two stage cluster for resource optimization with Apache Mesos. CoRR abs/1905.09166 (2019)
2015
[i1]
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Jaimie Kelley, Christopher Stewart, Nathaniel Morris, Devesh Tiwari, Yuxiong He, Sameh Elnikety:
Measuring and Managing Answer Quality for Online Data-Intensive Services. CoRR abs/1506.05172 (2015)

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