| IAAI'23 | 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 In The Thirty-Fifth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI) cite |
| ASE'22 | WOLFFI: A fault injection platform for learning AIOps models Frank Bagehorn, Jesus Rios, Saurabh Jha, Robert Filepp, Larisa Shwartz, Naoki Abe, Xing Yang In 2022 37th IEEE/ACM International Conference on Automated Software Engineering (ASE) talk |
| CLOUD'22 | Localizing and Explaining Faults in Microservices using Distributed Tracing Jesus Rios, Saurabh Jha, Larisa Shwartz In Proceedings of the 15th International Conference on Cloud Computing (CLOUD) pdf |
| DSN'22 | Exploiting Temporal Data Diversity for Detecting Safety-critical Faults in AV Compute Systems Saurabh Jha, Shengkun Cui, T. Tsai, S. K. S. Hari, M. B. Sullivan, Zbigniew T. Kalbarczyk, Steve Keckler, Ravishankar K. Iyer In Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) pdfcite |
| COMPSYS'22 | Evaluating hardware memory disaggregation under delay and contention Archit Patke, Haoran Qiu, Saurabh Jha, Srikumar Venugopal, Michele Gazzetti, Christian Pinto, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer In Proceedings of the 36th IEEE International Parallel & Distributed Processing Symposium Workshops (IPDPS-W) Best Presentation |
| Patent | Automated selection of performance monitors Saurabh Jha, Amos A. Omokpo, Karthick Rajamani, Harigovind Venkatraj Ramasamy In US Patent Office (USPTO), US16/818,656, Granted pdf |
| Patent | Hardware fault detection for feedback control systems in autonomous machine applications Tim Tsai, Saurabh Jha, Siva Hari, Michael Sullivan In US Patent Office (USPTO), US16/994,382, Granted pdf |
| ML4AD'21 | Watch out for the risky actors: Assessing risk in dynamic environments for safe driving Saurabh Jha, Yan Miao, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer In the Workshop on Machine Learning for Autonomous Driving colocated with NeurIPS pdfcite |
| WOSC'21 | 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 In Proceedings of the Seventh International Workshop on Serverless Computing colocated with ACM/IFIP International Middleware Conference pdftalkdoicitecode |
| TOR'21 | Data-Driven Application-Oriented Reliability Model of a High-Performance Computing System Bentolhoda Jafary, Saurabh Jha, Lance Findella, Ravishankar K. Iyer In Proceedings of the IEEE Transactions on Reliability pdfdoicite |
| ICS'21 | Delay sensitivity-driven congestion mitigation for HPC systems Archit Patke, Saurabh Jha, Haoran Qiu, Jim Brandt, Ann Gentile, Joe Greenseid, Zbigniew Kalbarczyk, Ravishankar K. Iyer In Proceedings of the ACM International Conference on Supercomputing pdfdoicite |
| ASPLOS'21 | BayesPerf: Minimizing Performance Monitoring Errors Using Bayesian Statistics Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer In Proceedings of the 26th International Conference on Architectural Support for Programming Languages and Operating Systems pdfslidestalkcite |
| SC'20 | Live Forensics for HPC Systems: A Case Study on Distributed Storage Systems Saurabh Jha, Shengkun Cui, Subho Banerjee, Tianyin Xu, Jeremy Enos, Mike Showerman, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer In Proceedings of the SC20: International Conference for High Performance Computing, Networking, Storage and Analysis pdfcodedoicite Best Student Paper FinalistBest Paper Finalist |
| OSDI'20 | FIRM: An Intelligent Fine-grained Resource Management Framework for SLO-oriented Microservices Haoran Qui, Subho Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer In Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation pdfslidestalkdoicite |
| ISSRE'20 | AV-FUZZER: Finding safety violations in autonomous driving systems Guanpeng Li, Yiran Li, Saurabh Jha, T. Tsai, S. K. S. Hari, M. B. Sullivan, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer In Proceedings of the IEEE International Conference on Software Reliability Engineering pdfslidescitecode Best Paper CSL News |
| ICML'20 | Inductive Bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters Subho Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer In Proceedings of the 37th International Conference on Machine Learnings pdfcite CSL News |
| DSN'20 | ML-driven Malware that Targets AV Safety Saurabh Jha, Shengkun Cui, Subho Banerjee, James Cyriac, T. Tsai, Zbigniew T. Kalbarczyk, Steve Keckler, Ravishankar K. Iyer In Proceedings of the 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) pdfcite |
| DSN'20 | The Mystery of the Failing Jobs: Insights from Operational Data from Two University-Wide Computing Systems Rakesh Kumar, Saurabh Jha, Ashraf Mahgoub, Zbigniew T Kalbarczyk, Kramer William, Ravishankar K Iyer, Saurabh Bagchi In Proceedings of the 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) pdfcite |
| NSDI'20 | Measuring Congestion in High-Performance Datacenter Interconnects Saurabh Jha, Archit Patke, Jim Brandt, Ann Gentile, Benjamin Lim, Mike Showerman, Greg Bauer, Larry Kaplan, Zbigniew Kalbarczyk, William Kramer, Ravi Iyer In Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation (NSDI 20) pdfslidestalkdoicitecodedata |
| HOTI'20 | A Study of Network Congestion in Two Supercomputing High-Speed Interconnects Saurabh Jha, Archit Patke, Jim Brandt, Ann Gentile, Mike Showerman, Eric Roman, Zbigniew Kalbarczyk, William Kramer, Ravi Iyer In Proceedings of the IEEE 26th Annual Symposium on High-Performance Interconnects (HOTI 20) pdfslidescite |
| DSN'19 | ML-Based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection Saurabh Jha, Subho Banerjee, T. Tsai, S. K. S. Hari, M. B. Sullivan, Zbigniew T. Kalbarczyk, Steve Keckler, Ravishankar K. Iyer In Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) pdfdoicite Science DailyDaily IlliniGuancha.cnSpace DailyEureka AlertSina |
| DSN'19 | Towards a Bayesian Approach for Assessing Fault Tolerance of Deep Neural Networks Subho Banerjee, James Cyriac, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer In Proceedings of the 2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks – Supplemental Volume (DSN-S) pdfdoicite |
| DSN'18 | Hands Off the Wheel in Autonomous Vehicles?: A Systems Perspective on over a Million Miles of Field Data Subho Banerjee, Saurabh Jha, James Cyriac, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer In Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) pdfdoicitecode |
| TDSC'18 | Resiliency of HPC Interconnects: A Case Study of Interconnect Failures and Recovery in Blue Waters Saurabh Jha, Valerio Formicola, Catello Di Martino, Mark Dalton, William Kramer, Zbigniew Kalbarczyk, Ravishankar K. Iyer In Proceedings of the IEEE Transactions on Dependable and Secure Computing pdfdoicite |
| DSN'18 | AVFI: Fault Injection for Autonomous Vehicles Saurabh Jha, Subho Banerjee, James Cyriac, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer In Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W) pdfdoicitecode |
| CLUSTER'17 | Holistic Measurement-Driven System Assessment Saurabh Jha, Jim Brandt, Ann Gentile, Zbigniew T. Kalbarczyk, Greg Bauer, Jeremy Enos, Mike Showerman, Larry Kaplan, Brett Bode, Annette Greiner, Amanda Bonnie, Mike Mason, Ravishankar K. Iyer, William Kramer In the Workshop on Machine Learning for Autonomous Driving colocated with NeurIPS pdfcite |
| CUG'16 | Understanding Fault Scenarios and Impacts through Fault Injection Experiments in Cielo Valerio Formicola, Saurabh Jha, Daniel Chen, Fei Deng, Amanda Bonnie, Mike Mason, Jim Brandt, Ann Gentile, Larry Kaplan, Jason Repik, Jeremy Enos, Mike Showerman, Annette Greiner, Zbigniew Kalbarczyk, Ravishankar K. Iyer, William Kramer In the 2016 Cray User Group (CUG) pdfcite |
| VLDB'15 | Main Memory Hash Joins on Intel Xeon Phi Processors: An Experimental Approach Saurabh Jha, Bingsheng He, Mian Lu, Xuntao Cheng, Huynh Phung Huynh In Proceedings of the 2015 VLDB Endowment (VLDB) pdfdoicitecode |
| FTXS'15 | LogDiver: A Tool for Measuring Resilience of Extreme-Scale Systems and Applications Catello Di Martino, Saurabh Jha, William Kramer, Zbigniew Kalbarczyk, Ravishankar K. Iyer In Proceedings of the 5th Workshop on Fault Tolerance for HPC at eXtreme Scale colocated with HPDC 2015 pdfdoicite |
| HPDC'13 | P-HGRMS: A Parallel Hypergraph Based Root Mean Square Algorithm for Image Denoising Tejaswi Agarwal, Saurabh Jha, Rajesh Kanna In the 22nd ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC) pdfslidesposter Best Poster |