Saurabh Jha
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
33
Venues
15
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
33 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | DSN | Praxis: Integrating Program Analysis with Observability for Root-Cause Analysis. | Shengkun Cui, Rahul Krishna, Saurabh Jha, Ravishankar K. Iyer |
| 2025 | CLOUD | CPU-Limits kill Performance: Time to rethink Resource Control. | Chirag C. Shetty, Sarthak Chakraborty, Hubertus Franke, Larisa Shwartz, Chandra Narayanaswami, Indranil Gupta, Saurabh Jha |
| 2025 | DSN | Benchmarking AI Agents for IT Automation Tasks with ITBench. | Jackson Clark, Rohan R. Arora, Saurabh Jha |
| 2025 | DSN | Characterizing Modern GPU Resilience and Impact in HPC Systems: A Case Study of A100 GPUs. | Shengkun Cui, Archit Patke, Ziheng Chen, Aditya Ranjan, Hung Nguyen, Phuong Cao, Brett M. Bode, Gregory H. Bauer, Saurabh Jha, Chandra Narayanaswami, Daby Sow, Catello Di Martino, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer |
| 2025 | ICML | ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks. | Saurabh Jha, Rohan R. Arora, Yuji Watanabe, Takumi Yanagawa, Yinfang Chen, Jackson Clark, Bhavya, Mudit Verma, Harshit Kumar, Hirokuni Kitahara, Noah Zheutlin, Saki Takano, Divya Pathak, Felix George, Xinbo Wu, Bekir O. Turkkan, Gerard Vanloo, Michael Nidd, Ting Dai, Oishik Chatterjee, Pranjal Gupta, Suranjana Samanta, Pooja Aggarwal, Rong Lee, Jae-wook Ahn, Debanjana Kar, Amit M. Paradkar, Yu Deng, Pratibha Moogi, Prateeti Mohapatra, Naoki Abe, Chandrasekhar Narayanaswami, Tianyin Xu, Lav R. Varshney, Ruchi Mahindru, Anca Sailer, Laura Shwartz, Daby Sow, Nicholas C. Fuller, Ruchir Puri |
| 2025 | ICS | Page Migration for Hardware Memory Disaggregation Across a Network. | Archit Patke, Christian Pinto, Saurabh Jha, Haoran Qiu, Zbigniew Kalbarczyk, Ravishankar K. Iyer |
| 2025 | SC | Story of Two GPUs: Characterizing the Resilience of Hopper H100 and Ampere A100 GPUs. | Shengkun Cui, Archit Patke, Hung Nguyen, Aditya Ranjan, Ziheng Chen, Phuong Cao, Gregory H. Bauer, Brett M. Bode, Catello Di Martino, Saurabh Jha, Chandra Narayanaswami, Daby Sow, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer |
| 2024 | AAAI | Optimizing IT FinOps and Sustainability through Unsupervised Workload Characterization. | Xi Yang, Rohan R. Arora, Saurabh Jha, Chandra Narayanaswami, Cheuk Lam, Jerrold Leichter, Yu Deng, Daby M. Sow |
| 2024 | CLOUD | Queue Management for SLO-Oriented Large Language Model Serving. | Archit Patke, Dhemath Reddy, Saurabh Jha, Haoran Qiu, Christian Pinto, Chandra Narayanaswami, Zbigniew Kalbarczyk, Ravishankar K. Iyer |
| 2024 | DSN | iPrism: Characterize and Mitigate Risk by Quantifying Change in Escape Routes. | Shengkun Cui, Saurabh Jha, Ziheng Chen, Zbigniew T. Kalbarczvk, Ravishankar K. Iyer |
| 2024 | DSN | Fault Localization Using Interventional Causal Learning for Cloud-Native Applications. | Saurabh Jha, Jesus Rios, Naoki Abe, Frank Bagehorn, Laura Shwartz |
| 2024 | DSN | When Green Computing Meets Performance and Resilience SLOs. | Haoran Qiu, Weichao Mao, Chen Wang, Saurabh Jha, Hubertus Franke, Chandra Narayanaswami, Zbigniew Kalbarczyk, Tamer Basar, Ravishankar K. Iyer |
| 2024 | USENIX | Power-aware Deep Learning Model Serving with μ-Serve. | Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar, Ravishankar K. Iyer |
| 2023 | AAAI | Fault Injection Based Interventional Causal Learning for Distributed Applications. | Qing Wang, Jesus Rios, Saurabh Jha, Karthikeyan Shanmugam, Frank Bagehorn, Xi Yang, Robert Filepp, Naoki Abe, Larisa Shwartz |
| 2022 | DSN | Exploiting Temporal Data Diversity for Detecting Safety-critical Faults in AV Compute Systems. | Saurabh Jha, Shengkun Cui, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer |
| 2021 | ASPLOS | BayesPerf: minimizing performance monitoring errors using Bayesian statistics. | Subho S. Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar K. Iyer |
| 2021 | ICS | Delay sensitivity-driven congestion mitigation for HPC systems. | Archit Patke, Saurabh Jha, Haoran Qiu, Jim M. Brandt, Ann C. Gentile, Joe Greenseid, Zbigniew Kalbarczyk, Ravishankar K. Iyer |
| 2021 | Middleware | Is Function-as-a-Service a Good Fit for Latency-Critical Services? | Haoran Qiu, Saurabh Jha, Subho S. Banerjee, Archit Patke, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer |
| 2020 | DSN | ML-Driven Malware that Targets AV Safety. | Saurabh Jha, Shengkun Cui, Subho S. Banerjee, James Cyriac, Timothy Tsai, Zbigniew Kalbarczyk, Ravishankar K. Iyer |
| 2020 | ICML | Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters. | Subho S. Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar K. Iyer |
| 2020 | ISSRE | AV-FUZZER: Finding Safety Violations in Autonomous Driving Systems. | Guanpeng Li, Yiran Li, Saurabh Jha, Timothy Tsai, Michael B. Sullivan, Siva Kumar Sastry Hari, Zbigniew Kalbarczyk, Ravishankar K. Iyer |
| 2020 | NSDI | Measuring Congestion in High-Performance Datacenter Interconnects. | Saurabh Jha, Archit Patke, Jim M. Brandt, Ann C. Gentile, Benjamin Lim, Mike Showerman, Greg Bauer, Larry Kaplan, Zbigniew Kalbarczyk, William Kramer, Ravi K. Iyer |
| 2020 | OSDI | FIRM: An Intelligent Fine-grained Resource Management Framework for SLO-Oriented Microservices. | Haoran Qiu, Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer |
| 2020 | SC | Live forensics for HPC systems: a case study on distributed storage systems. | Saurabh Jha, Shengkun Cui, Subho S. Banerjee, Tianyin Xu, Jeremy Enos, Mike Showerman, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer |
| 2019 | DSN | Towards a Bayesian Approach for Assessing Fault Tolerance of Deep Neural Networks. | Subho S. Banerjee, James Cyriac, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer |
| 2019 | DSN | ML-Based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection. | Saurabh Jha, Subho S. Banerjee, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer |
| 2019 | HOTI | A Study of Network Congestion in Two Supercomputing High-Speed Interconnects. | Saurabh Jha, Archit Patke, Jim M. Brandt, Ann C. Gentile, Mike Showerman, Eric Roman, Zbigniew T. Kalbarczyk, Bill Kramer, Ravishankar K. Iyer |
| 2018 | CLUSTER | Characterizing Supercomputer Traffic Networks Through Link-Level Analysis. | Saurabh Jha, Jim M. Brandt, Ann C. Gentile, Zbigniew Kalbarczyk, Ravishankar K. Iyer |
| 2018 | DSN | Hands Off the Wheel in Autonomous Vehicles?: A Systems Perspective on over a Million Miles of Field Data. | Subho S. Banerjee, Saurabh Jha, James Cyriac, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer |
| 2018 | DSN | AVFI: Fault Injection for Autonomous Vehicles. | Saurabh Jha, Subho S. Banerjee, James Cyriac, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer |
| 2017 | CLUSTER | Holistic Measurement-Driven System Assessment. | Saurabh Jha, Jim M. Brandt, Ann C. Gentile, Zbigniew Kalbarczyk, Gregory H. Bauer, Jeremy Enos, Michael T. Showerman, Larry Kaplan, Brett M. Bode, Annette Greiner, Amanda Bonnie, Mike Mason, Ravishankar K. Iyer, William Kramer |
| 2015 | HPDC | LogDiver: A Tool for Measuring Resilience of Extreme-Scale Systems and Applications. | Catello Di Martino, Saurabh Jha, William Kramer, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer |
| 2013 | ICS | Exploiting data parallelism in the yConvex hypergraph algorithm for image representation using GPGPUs. | Saurabh Jha, Tejaswi Agarwal, B. Rajesh Kanna |