| 2026 | CCGRID | Synthetic Data Generation for Storage Failure Prediction in Large-Scale Systems. | Chandranil Chakraborttii, Ana Luisa Veroneze Solrzano, Devesh Tiwari |
| 2026 | HPCA | LowCarb: Carbon-Aware Scheduling of Serverless Functions. | Rohan Basu Roy, Devesh Tiwari |
| 2026 | SIGMETRICS | ObliQ: Solving Quadratic Unconstrained Binary Optimization Problems on Real Photonic Quantum Machines. | Aditya Ranjan, Daniel Silver, Tirthak Patel, Bhargav Chickmagalurnanjun, Devesh Tiwari |
| 2025 | ASPLOS | DarwinGame: Playing Tournaments for Tuning Applications in Noisy Cloud Environments. | Rohan Basu Roy, Vijay Gadepally, Devesh Tiwari |
| 2025 | CLOUD | Multi-Agent Reinforcement Learning with Serverless Computing. | Rui Wei, Hanfei Yu, Xikang Song, Jian Li, Devesh Tiwari, Ying Mao, Hao Wang |
| 2025 | HPDC | Bringing Differential Privacy to HPC: Privacy-Preserving Transformations of HPC Traces. | Ana Luisa Veroneze Solrzano, Rohan Basu Roy, Benjamin Schwaller, Sara Petra Walton, Jim M. Brandt, Devesh Tiwari |
| 2025 | ICS | OpaQue: Program Output Obfuscation for Quantum Software Circuits in Quantum Clouds. | Tirthak Patel, Aditya Ranjan, Daniel Silver, Harshitta Gandhi, William Cutler, Devesh Tiwari |
| 2025 | PPoPP | WaterWise: Co-optimizing Carbon- and Water-Footprint Toward Environmentally Sustainable Cloud Computing. | Yankai Jiang, Rohan Basu Roy, Raghavendra Kanakagiri, Devesh Tiwari |
| 2025 | SC | ThirstyFLOPS: Water Footprint Modeling and Analysis Toward Sustainable HPC Systems. | Yankai Jiang, Raghavendra Kanakagiri, Rohan Basu Roy, Devesh Tiwari |
| 2025 | SC | GreenMix: Energy-Efficient Serverless Computing via Randomized Sketching on Asymmetric Multi-Cores. | Rohan Basu Roy, Tirthak Patel, Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari |
| 2025 | SIGMETRICS | ForgetMeNot: Understanding and Modeling the Impact of Forever Chemicals Toward Sustainable Large-Scale Computing. | Rohan Basu Roy, Raghavendra Kanakagiri, Yankai Jiang, Devesh Tiwari |
| 2024 | ASPLOS | ProxiML: Building Machine Learning Classifiers for Photonic Quantum Computing. | Aditya Ranjan, Tirthak Patel, Daniel Silver, Harshitta Gandhi, Devesh Tiwari |
| 2024 | ASPLOS | CodeCrunch: Improving Serverless Performance via Function Compression and Cost-Aware Warmup Location Optimization. | Rohan Basu Roy, Tirthak Patel, Rohan Garg, Devesh Tiwari |
| 2024 | ASPLOS | RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing. | Hanfei Yu, Rohan Basu Roy, Christian Fontenot, Devesh Tiwari, Jian Li, Hong Zhang, Hao Wang, Seung-Jong Park |
| 2024 | CLOUD | The Hidden Carbon Footprint of Serverless Computing. | Rohan Basu Roy, Raghavendra Kanakagiri, Yankai Jiang, Devesh Tiwari |
| 2024 | EMNLP | Sprout: Green Generative AI with Carbon-Efficient LLM Inference. | Baolin Li, Yankai Jiang, Vijay Gadepally, Devesh Tiwari |
| 2024 | SC | EcoLife: Carbon-Aware Serverless Function Scheduling for Sustainable Computing. | Yankai Jiang, Rohan Basu Roy, Baolin Li, Devesh Tiwari |
| 2024 | SC | PULSE: Using Mixed-Quality Models for Reducing Serverless Keep-Alive Cost. | Kausalya Sankaranarayanan, Rohan Basu Roy, Devesh Tiwari |
| 2024 | SC | LexiQL: Quantum Natural Language Processing on NISQ-era Machines. | Daniel Silver, Aditya Ranjan, Rakesh Achutha, Tirthak Patel, Devesh Tiwari |
| 2024 | SC | Toward Sustainable HPC: In-Production Deployment of Incentive-Based Power Efficiency Mechanism on the Fugaku Supercomputer. | Ana Luisa Veroneze Solrzano, Kento Sato, Keiji Yamamoto, Fumiyoshi Shoji, Jim M. Brandt, Benjamin Schwaller, Sara Petra Walton, Jennifer Green, Devesh Tiwari |
| 2024 | SC | Stellaris: Staleness-Aware Distributed Reinforcement Learning with Serverless Computing. | Hanfei Yu, Hao Wang, Devesh Tiwari, Jian Li, Seung-Jong Park |
| 2024 | SIGMETRICS | StarShip: Mitigating I/O Bottlenecks in Serverless Computing for Scientific Workflows. | Rohan Basu Roy, Devesh Tiwari |
| 2023 | AAAI | SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers. | Daniel Silver, Tirthak Patel, Aditya Ranjan, Harshitta Gandhi, William Cutler, Devesh Tiwari |
| 2023 | CLOUD | Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale. | Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally |
| 2023 | CLUSTER | Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations. | 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 |
| 2023 | DAC | Invited: Building Robust Quantum System Software for Technology-Specific Characteristics. | Tirthak Patel, Devesh Tiwari |
| 2023 | DSN | Quantum Computing Reliability: Problems, Tools, and Potential Solutions. | Edoardo Giusto, Emanuele Dri, Bartolomeo Montrucchio, Betis Baheri, Qiang Guan, Devesh Tiwari, Paolo Rech |
| 2023 | HPDC | Kairos: Building Cost-Efficient Machine Learning Inference Systems with Heterogeneous Cloud Resources. | Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari |
| 2023 | HPDC | ProPack: Executing Concurrent Serverless Functions Faster and Cheaper. | Rohan Basu Roy, Tirthak Patel, Richmond Liew, Yadu Nand Babuji, Ryan Chard, Devesh Tiwari |
| 2023 | ICCV | MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers. | Daniel Silver, Aditya Ranjan, Tirthak Patel, Harshitta Gandhi, William Cutler, Devesh Tiwari |
| 2023 | MICRO | SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices. | Zhengang Li, Geng Yuan, Tomoharu Yamauchi, Masoud Zabihi, Yanyue Xie, Peiyan Dong, Xulong Tang, Nobuyuki Yoshikawa, Devesh Tiwari, Yanzhi Wang, Olivia Chen |
| 2023 | SC | Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems. | Baolin Li, Rohan Basu Roy, Daniel Wang, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari |
| 2023 | SC | Clover: Toward Sustainable AI with Carbon-Aware Machine Learning Inference Service. | Baolin Li, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari |
| 2023 | SC | GRAPHINE: Enhanced Neutral Atom Quantum Computing using Application-Specific Rydberg Atom Arrangement. | Tirthak Patel, Daniel Silver, Devesh Tiwari |
| 2023 | SC | Experimental Evaluation of Xanadu X8 Photonic Quantum Computer: Error Measurement, Characterization and Implications. | Aditya Ranjan, Tirthak Patel, Harshitta Gandhi, Daniel Silver, William Cutler, Devesh Tiwari |
| 2022 | AAAI | QUILT: Effective Multi-Class Classification on Quantum Computers Using an Ensemble of Diverse Quantum Classifiers. | Daniel Silver, Tirthak Patel, Devesh Tiwari |
| 2022 | ASPLOS | QUEST: systematically approximating Quantum circuits for higher output fidelity. | Tirthak Patel, Ed Younis, Costin Iancu, Wibe de Jong, Devesh Tiwari |
| 2022 | ASPLOS | IceBreaker: warming serverless functions better with heterogeneity. | Rohan Basu Roy, Tirthak Patel, Devesh Tiwari |
| 2022 | CLOUD | MISO: exploiting multi-instance GPU capability on multi-tenant GPU clusters. | Baolin Li, Tirthak Patel, Siddharth Samsi, Vijay Gadepally, Devesh Tiwari |
| 2022 | CLUSTER | What does Inter-Cluster Job Submission and Execution Behavior Reveal to Us? | Tirthak Patel, Devesh Tiwari, Raj Kettimuthu, William E. Allcock, Paul Rich, Zhengchun Liu |
| 2022 | DATE | Do Temperature and Humidity Exposures Hurt or Benefit Your SSDs? | Adnan Maruf, Sashri Brahmakshatriya, Baolin Li, Devesh Tiwari, Gang Quan, Janki Bhimani |
| 2022 | DATE | OPTIC: A Practical Quantum Binary Classifier for Near-Term Quantum Computers. | Tirthak Patel, Daniel Silver, Devesh Tiwari |
| 2022 | HPCA | AI-Enabling Workloads on Large-Scale GPU-Accelerated System: Characterization, Opportunities, and Implications. | 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 |
| 2022 | HPDC | Bringing Serverless Computing to the HPC Community. | Devesh Tiwari |
| 2022 | ISCA | Geyser: a compilation framework for quantum computing with neutral atoms. | Tirthak Patel, Daniel Silver, Devesh Tiwari |
| 2022 | NAACL | Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models. | Joseph McDonald, Baolin Li, Nathan C. Frey, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi |
| 2022 | PPoPP | Mashup: making serverless computing useful for HPC workflows via hybrid execution. | Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Devesh Tiwari |
| 2022 | SC | Charter: Identifying the Most-Critical Gate Operations in Quantum Circuits via Amplified Gate Reversibility. | Tirthak Patel, Daniel Silver, Devesh Tiwari |
| 2022 | SC | DayDream: Executing Dynamic Scientific Workflows on Serverless Platforms with Hot Starts. | Rohan Basu Roy, Tirthak Patel, Devesh Tiwari |
| 2021 | ASPLOS | Qraft: reverse your Quantum circuit and know the correct program output. | Tirthak Patel, Devesh Tiwari |
| 2021 | DSN | Examining Failures and Repairs on Supercomputers with Multi-GPU Compute Nodes. | Amir Taherin, Tirthak Patel, Giorgis Georgakoudis, Ignacio Laguna, Devesh Tiwari |
| 2021 | HPCA | Operating Liquid-Cooled Large-Scale Systems: Long-Term Monitoring, Reliability Analysis, and Efficiency Measures. | Rohan Basu Roy, Tirthak Patel, Raj Kettimuthu, William E. Allcock, Paul Rich, Adam Scovel, Devesh Tiwari |
| 2021 | ISCA | SATORI: Efficient and Fair Resource Partitioning by Sacrificing Short-Term Benefits for Long-Term Gains | Rohan Basu Roy, Tirthak Patel, Devesh Tiwari |
| 2021 | PLDI | Bliss: auto-tuning complex applications using a pool of diverse lightweight learning models. | Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Devesh Tiwari |
| 2021 | SC | Systematically inferring I/O performance variability by examining repetitive job behavior. | Emily Costa, Tirthak Patel, Benjamin Schwaller, Jim M. Brandt, Devesh Tiwari |
| 2021 | SC | RIBBON: cost-effective and qos-aware deep learning model inference using a diverse pool of cloud computing instances. | Baolin Li, Rohan Basu Roy, Tirthak Patel, Vijay Gadepally, Karen Gettings, Devesh Tiwari |
| 2020 | FAST | Making Disk Failure Predictions SMARTer! | Sidi Lu, Bing Luo, Tirthak Patel, Yongtao Yao, Devesh Tiwari, Weisong Shi |
| 2020 | FAST | GIFT: A Coupon Based Throttle-and-Reward Mechanism for Fair and Efficient I/O Bandwidth Management on Parallel Storage Systems. | Tirthak Patel, Rohan Garg, Devesh Tiwari |
| 2020 | FAST | Uncovering Access, Reuse, and Sharing Characteristics of I/O-Intensive Files on Large-Scale Production HPC Systems. | Tirthak Patel, Suren Byna, Glenn K. Lockwood, Nicholas J. Wright, Philip H. Carns, Robert B. Ross, Devesh Tiwari |
| 2020 | HPCA | CLITE: Efficient and QoS-Aware Co-Location of Multiple Latency-Critical Jobs for Warehouse Scale Computers. | Tirthak Patel, Devesh Tiwari |
| 2020 | ICCAD | DisQ: A Novel Quantum Output State Classification Method on IBM Quantum Computers using OpenPulse. | Tirthak Patel, Devesh Tiwari |
| 2020 | SC | Job characteristics on large-scale systems: long-term analysis, quantification, and implications. | Tirthak Patel, Zhengchun Liu, Raj Kettimuthu, Paul Rich, William E. Allcock, Devesh Tiwari |
| 2020 | SC | Experimental evaluation of NISQ quantum computers: error measurement, characterization, and implications. | Tirthak Patel, Abhay Potharaju, Baolin Li, Rohan Basu Roy, Devesh Tiwari |
| 2020 | SC | Veritas: accurately estimating the correct output on noisy intermediate-scale quantum computers. | Tirthak Patel, Devesh Tiwari |
| 2020 | USENIX | UREQA: Leveraging Operation-Aware Error Rates for Effective Quantum Circuit Mapping on NISQ-Era Quantum Computers. | Tirthak Patel, Baolin Li, Rohan Basu Roy, Devesh Tiwari |
| 2020 | UCC | Exploring the Potential of using Power as a First Class Parameter for Resource Allocation in Apache Mesos Managed Clouds. | Pradyumna Kaushik, Srinidhi Raghavendra, Madhusudhan Govindaraju, Devesh Tiwari |
| 2019 | CCGRID | Towards Enabling Dynamic Resource Estimation and Correction for Improving Utilization in an Apache Mesos Cloud Environment. | Gourav Rattihalli, Madhusudhan Govindaraju, Devesh Tiwari |
| 2019 | DAC | What does Vibration do to Your SSD? | Janki Bhimani, Tirthak Patel, Ningfang Mi, Devesh Tiwari |
| 2019 | DATE | PCFI: Program Counter Guided Fault Injection for Accelerating GPU Reliability Assessment. | Fritz G. Previlon, Charu Kalra, Devesh Tiwari, David R. Kaeli |
| 2019 | HPDC | PERQ: Fair and Efficient Power Management of Power-Constrained Large-Scale Computing Systems. | Tirthak Patel, Devesh Tiwari |
| 2019 | SC | Revisiting I/O behavior in large-scale storage systems: the expected and the unexpected. | Tirthak Patel, Suren Byna, Glenn K. Lockwood, Devesh Tiwari |
| 2018 | DSN | Shiraz: Exploiting System Reliability and Application Resilience Characteristics to Improve Large Scale System Throughput. | Rohan Garg, Tirthak Patel, Gene Cooperman, Devesh Tiwari |
| 2018 | DSN | Understanding and Analyzing Interconnect Errors and Network Congestion on a Large Scale HPC System. | Mohit Kumar, Saurabh Gupta, Tirthak Patel, Michael Wilder, Weisong Shi, Song Fu, Christian Engelmann, Devesh Tiwari |
| 2018 | DSN | Machine Learning Models for GPU Error Prediction in a Large Scale HPC System. | Bin Nie, Ji Xue, Saurabh Gupta, Tirthak Patel, Christian Engelmann, Evgenia Smirni, Devesh Tiwari |
| 2018 | ICCCN | Exploring the Optimal Platform Configuration for Power-Constrained HPC Workflows. | Kun Tang, Xubin He, Saurabh Gupta, Sudharshan S. Vazhkudai, Devesh Tiwari |
| 2017 | CLUSTER | Effective Running of End-to-End HPC Workflows on Emerging Heterogeneous Architectures. | Kun Tang, Devesh Tiwari, Saurabh Gupta, Sudharshan S. Vazhkudai, Xubin He |
| 2017 | MASCOTS | Characterizing Temperature, Power, and Soft-Error Behaviors in Data Center Systems: Insights, Challenges, and Opportunities. | Bin Nie, Ji Xue, Saurabh Gupta, Christian Engelmann, Evgenia Smirni, Devesh Tiwari |
| 2017 | MASCOTS | Toward Managing HPC Burst Buffers Effectively: Draining Strategy to Regulate Bursty I/O Behavior. | Kun Tang, Ping Huang, Xubin He, Tao Lu, Sudharshan S. Vazhkudai, Devesh Tiwari |
| 2017 | SC | Failures in large scale systems: long-term measurement, analysis, and implications. | Saurabh Gupta, Tirthak Patel, Christian Engelmann, Devesh Tiwari |
| 2017 | SC | GUIDE: a scalable information directory service to collect, federate, and analyze logs for operational insights into a leadership HPC facility. | Sudharshan S. Vazhkudai, Ross G. Miller, Devesh Tiwari, Christopher Zimmer, Feiyi Wang, Sarp Oral, Raghul Gunasekaran, Deryl Steinert |
| 2016 | DSN | Power-Capping Aware Checkpointing: On the Interplay Among Power-Capping, Temperature, Reliability, Performance, and Energy. | Kun Tang, Devesh Tiwari, Saurabh Gupta, Ping Huang, Qiqi Lu, Christian Engelmann, Xubin He |
| 2016 | HPCA | A large-scale study of soft-errors on GPUs in the field. | Bin Nie, Devesh Tiwari, Saurabh Gupta, Evgenia Smirni, James H. Rogers |
| 2016 | MICRO | Low-cost soft error resilience with unified data verification and fine-grained recovery for acoustic sensor based detection. | Qingrui Liu, Changhee Jung, Dongyoon Lee, Devesh Tiwari |
| 2016 | SC | Granularity and the cost of error recovery in resilient AMR scientific applications. | Anshu Dubey, Hajime Fujita, Daniel T. Graves, Andrew A. Chien, Devesh Tiwari |
| 2016 | SC | Compiler-directed lightweight checkpointing for fine-grained guaranteed soft error recovery. | Qingrui Liu, Changhee Jung, Dongyoon Lee, Devesh Tiwari |
| 2015 | DSN | Understanding and Exploiting Spatial Properties of System Failures on Extreme-Scale HPC Systems. | Saurabh Gupta, Devesh Tiwari, Christopher Jantzi, James H. Rogers, Don Maxwell |
| 2015 | HPCA | Understanding GPU errors on large-scale HPC systems and the implications for system design and operation. | 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 |
| 2015 | SC | AnalyzeThis: an analysis workflow-aware storage system. | Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai, Devesh Tiwari, Ali Anwar, Ali Raza Butt, Lavanya Ramakrishnan |
| 2015 | SC | Reliability lessons learned from GPU experience with the Titan supercomputer at Oak Ridge leadership computing facility. | Devesh Tiwari, Saurabh Gupta, George Gallarno, Jim Rogers, Don Maxwell |
| 2015 | SC | A practical approach to reconciling availability, performance, and capacity in provisioning extreme-scale storage systems. | Lipeng Wan, Feiyi Wang, Sarp Oral, Devesh Tiwari, Sudharshan S. Vazhkudai, Qing Cao |
| 2014 | DSN | Lazy Checkpointing: Exploiting Temporal Locality in Failures to Mitigate Checkpointing Overheads on Extreme-Scale Systems. | Devesh Tiwari, Saurabh Gupta, Sudharshan S. Vazhkudai |
| 2014 | ICPADS | Improving large-scale storage system performance via topology-aware and balanced data placement. | Feiyi Wang, Sarp Oral, Saurabh Gupta, Devesh Tiwari, Sudharshan S. Vazhkudai |
| 2014 | SC | Best Practices and Lessons Learned from Deploying and Operating Large-Scale Data-Centric Parallel File Systems. | 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 |
| 2013 | FAST | Active flash: towards energy-efficient, in-situ data analytics on extreme-scale machines. | Devesh Tiwari, Simona Boboila, Sudharshan S. Vazhkudai, Youngjae Kim, Xiaosong Ma, Peter Desnoyers, Yan Solihin |
| 2012 | ISPASS | Architectural characterization and similarity analysis of sunspider and Google's V8 Javascript benchmarks. | Devesh Tiwari, Yan Solihin |
| 2012 | OSDI | Reducing Data Movement Costs Using Energy-Efficient, Active Computation on SSD. | Devesh Tiwari, Sudharshan S. Vazhkudai, Youngjae Kim, Xiaosong Ma, Simona Boboila, Peter Desnoyers |
| 2011 | HPCA | HAQu: Hardware-accelerated queueing for fine-grained threading on a chip multiprocessor. | Sanghoon Lee, Devesh Tiwari, Yan Solihin, James Tuck |