Saurabh Jha

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 49

Top Topics

Autonomous Vehicles

Fault Injection

Distributed Storage

Top Venues

Concurr. Comput. Pract. Exp.

Publications

Brett M. Bode, David King, Celso L. Mendes, William T. Kramer, Saurabh Jha, Roger Ford, Justin Davis, Steven Dramstad
Blue Waters system and component reliability. Concurr. Comput. Pract. Exp. 36 (8) (2024)
Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer
Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction. CoRR (2024)
Xi Yang, Rohan R. Arora, Saurabh Jha, Chandra Narayanaswami, Cheuk Lam, Jerrold Leichter, Yu Deng, Daby M. Sow
Optimizing IT FinOps and Sustainability through Unsupervised Workload Characterization. AAAI (2024)
Archit Patke, Dhemath Reddy, Saurabh Jha, Haoran Qiu, Christian Pinto, Shengkun Cui, Chandra Narayanaswami, Zbigniew Kalbarczyk, Ravishankar K. Iyer
One Queue Is All You Need: Resolving Head-of-Line Blocking in Large Language Model Serving. CoRR (2024)
Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar, Ravishankar K. Iyer
Power-aware Deep Learning Model Serving with μ-Serve. USENIX ATC (2024)
Xi Yang, Saurabh Jha, Paulito Palmes, Bekir O. Turkkan, Gerard Vanloo, Chandra Narayanaswami, Larisa Shwartz
Meta-learning Generalized AIOps Models for Multi-cloud Computer using Digital Twins. CASCON (2023)
Qing Wang, Jesus Rios, Saurabh Jha, Karthikeyan Shanmugam, Frank Bagehorn, Xi Yang, Robert Filepp, Naoki Abe, Larisa Shwartz
Fault Injection Based Interventional Causal Learning for Distributed Applications. AAAI (2023)
Saurabh Jha, Shengkun Cui, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer
Exploiting Temporal Data Diversity for Detecting Safety-critical Faults in AV Compute Systems. DSN (2022)
Saurabh Jha, Shengkun Cui, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Watch Out for the Safety-Threatening Actors: Proactively Mitigating Safety Hazards. CoRR (2022)
Bentolhoda Jafary, Saurabh Jha, Lance Fiondella, Ravishankar K. Iyer
Data-Driven Application-Oriented Reliability Model of a High-Performance Computing System. IEEE Trans. Reliab. 71 (2) (2022)
Frank Bagehorn, Jesus Rios, Saurabh Jha, Robert Filepp, Larisa Shwartz, Naoki Abe, Xi Yang
A fault injection platform for learning AIOps models. ASE (2022)
Saurabh Jha, Ashok Kumar Mehta
An evolutionary algorithm based feature selection and fuzzy rule reduction technique for the prediction of skin cancer. Concurr. Comput. Pract. Exp. 34 (5) (2022)
Saurabh Jha, Ashok Kumar Mehta
A Hybrid Approach using the Fuzzy Logic System and the Modified Genetic Algorithm for Prediction of Skin Cancer. Neural Process. Lett. 54 (2) (2022)
Jesus Rios, Saurabh Jha, Laura Shwartz
Localizing and Explaining Faults in Microservices Using Distributed Tracing. CLOUD (2022)
Archit Patke, Haoran Qiu, Saurabh Jha, Srikumar Venugopal, Michele Gazzetti, Christian Pinto, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Evaluating Hardware Memory Disaggregation under Delay and Contention. IPDPS Workshops (2022)
Saurabh Jha, Yan Miao, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Watch out for the risky actors: Assessing risk in dynamic environments for safe driving. CoRR (2021)
Haoran Qiu, Saurabh Jha, Subho S. Banerjee, Archit Patke, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
Is Function-as-a-Service a Good Fit for Latency-Critical Services? WOSC@Middleware (2021)
Archit Patke, Saurabh Jha, Haoran Qiu, Jim M. Brandt, Ann C. Gentile, Joe Greenseid, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Delay sensitivity-driven congestion mitigation for HPC systems. ICS (2021)
Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
BayesPerf: Minimizing Performance Monitoring Errors Using Bayesian Statistics. CoRR (2021)
Saurabh Jha
Decoding Radiology: A Brief History. Medical Imaging: Computer-Aided Diagnosis (2021)
Saurabh Jha, Balaji Jagtap, Srijan Mazumdar, Saugata Sinha
Computer-Aided Segmentation of Polyps Using Mask R-CNN and Approach to Reduce False Positives. FICTA (1) (2021)
Subho S. Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar K. Iyer
BayesPerf: minimizing performance monitoring errors using Bayesian statistics. ASPLOS (2021)
Haoran Qiu, Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
FIRM: An Intelligent Fine-Grained Resource Management Framework for SLO-Oriented Microservices. CoRR (2020)
Subho S. Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters. ICML (2020)
Guanpeng Li, Yiran Li, Saurabh Jha, Timothy Tsai, Michael B. Sullivan, Siva Kumar Sastry Hari, Zbigniew Kalbarczyk, Ravishankar K. Iyer
AV-FUZZER: Finding Safety Violations in Autonomous Driving Systems. ISSRE (2020)
Saurabh Jha, Shengkun Cui, Subho S. Banerjee, Tianyin Xu, Jeremy Enos, Mike Showerman, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
Live forensics for HPC systems: a case study on distributed storage systems. SC (2020)
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
Measuring Congestion in High-Performance Datacenter Interconnects. NSDI (2020)
Saurabh Jha, Shengkun Cui, Subho S. Banerjee, James Cyriac, Timothy Tsai, Zbigniew Kalbarczyk, Ravishankar K. Iyer
ML-Driven Malware that Targets AV Safety. DSN (2020)
Archit Patke, Saurabh Jha, Haoran Qiu, Jim M. Brandt, Ann C. Gentile, Joe Greenseid, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Application-aware Congestion Mitigation forHigh-Performance Computing Systems. CoRR (2020)
Saurabh Jha, Shengkun Cui, Subho S. Banerjee, Timothy Tsai, Zbigniew Kalbarczyk, Ravishankar K. Iyer
ML-driven Malware that Targets AV Safety. CoRR (2020)
Rakesh Kumar, Saurabh Jha, Ashraf Mahgoub, Rajesh Kalyanam, Stephen Lien Harrell, Xiaohui Carol Song, Zbigniew Kalbarczyk, William T. Kramer, Ravishankar K. Iyer, Saurabh Bagchi
The Mystery of the Failing Jobs: Insights from Operational Data from Two University-Wide Computing Systems. DSN (2020)
Haoran Qiu, Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
FIRM: An Intelligent Fine-grained Resource Management Framework for SLO-Oriented Microservices. OSDI (2020)
Saurabh Jha, Ashok Kumar Mehta, Chandrashekhar Azad
A fuzzy logic based approach for prediction of basal cell carcinoma and squamous cell carcinoma among the data of skin cancer. EAI Endorsed Trans. Pervasive Health Technol. 5 (20) (2020)
Saurabh Jha, Subho S. Banerjee, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer
ML-Based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection. DSN (2019)
Subho S. Banerjee, James Cyriac, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
Towards a Bayesian Approach for Assessing Fault Tolerance of Deep Neural Networks. DSN (Supplements) (2019)
Saurabh Jha, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer
Kayotee: A Fault Injection-based System to Assess the Safety and Reliability of Autonomous Vehicles to Faults and Errors. CoRR (2019)
Saurabh Jha, Subho S. Banerjee, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer
ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection. CoRR (2019)
Saurabh Jha, Shengkun Cui, Tianyin Xu, Jeremy Enos, Mike Showerman, Mark Dalton, Zbigniew T. Kalbarczyk, William T. Kramer, Ravishankar K. Iyer
Live Forensics for Distributed Storage Systems. CoRR (2019)
Subho S. Banerjee, Saurabh Jha, Ravishankar K. Iyer
Inductive Bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters. CoRR (2019)
Valerio Formicola, Saurabh Jha, Daniel Chen, Fei Deng, Amanda Bonnie, Mike Mason, Jim M. Brandt, Ann C. Gentile, Larry Kaplan, Jason Repik, Jeremy Enos, Mike Showerman, Annette Greiner, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Bill Kramer
Understanding Fault Scenarios and Impacts through Fault Injection Experiments in Cielo. CoRR (2019)
Saurabh Jha, Archit Patke, Jim M. Brandt, Ann C. Gentile, Mike Showerman, Eric Roman, Zbigniew T. Kalbarczyk, William T. Kramer, Ravishankar K. Iyer
A Study of Network Congestion in Two Supercomputing High-Speed Interconnects. CoRR (2019)
Saurabh Jha, Archit Patke, Jim M. Brandt, Ann C. Gentile, Mike Showerman, Eric Roman, Zbigniew T. Kalbarczyk, Bill Kramer, Ravishankar K. Iyer
A Study of Network Congestion in Two Supercomputing High-Speed Interconnects. Hot Interconnects (2019)
Saurabh Jha, Subho S. Banerjee, James Cyriac, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
AVFI: Fault Injection for Autonomous Vehicles. DSN Workshops (2018)
Subho S. Banerjee, Saurabh Jha, James Cyriac, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
Hands Off the Wheel in Autonomous Vehicles?: A Systems Perspective on over a Million Miles of Field Data. DSN (2018)
Saurabh Jha, Valerio Formicola, Catello Di Martino, Mark Dalton, William T. Kramer, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Resiliency of HPC Interconnects: A Case Study of Interconnect Failures and Recovery in Blue Waters. IEEE Trans. Dependable Secur. Comput. 15 (6) (2018)
Saurabh Jha, Jim M. Brandt, Ann C. Gentile, Zbigniew Kalbarczyk, Ravishankar K. Iyer
Characterizing Supercomputer Traffic Networks Through Link-Level Analysis. CLUSTER (2018)
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
Holistic Measurement-Driven System Assessment. CLUSTER (2017)
Saurabh Jha, Bingsheng He, Mian Lu, Xuntao Cheng, Huynh Phung Huynh
Improving Main Memory Hash Joins on Intel Xeon Phi Processors: An Experimental Approach. Proc. VLDB Endow. 8 (6) (2015)
Catello Di Martino, Saurabh Jha, William Kramer, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
LogDiver: A Tool for Measuring Resilience of Extreme-Scale Systems and Applications. FTXS@HPDC (2015)
Saurabh Jha, Vijay Menon
BbmTTP: beat-based parallel simulated annealing algorithm on GPGPUs for the mirrored traveling tournament problem. SpringSim (HPS) (2014)
Vijay Menon, Saurabh Jha
A Parallel Simulated Annealing Approach for the Mirrored Traveling Tournament Problem. CoRR (2013)
Tejaswi Agarwal, Saurabh Jha, B. Rajesh Kanna
P-HGRMS: A Parallel Hypergraph Based Root Mean Square Algorithm for Image Denoising. CoRR (2013)
Saurabh Jha, Tejaswi Agarwal, B. Rajesh Kanna
Exploiting data parallelism in the yConvex hypergraph algorithm for image representation using GPGPUs. ICS (2013)
Saurabh Jha, Tejaswi Agarwal, B. Rajesh Kanna
Exploiting Data Parallelism in the yConvex Hypergraph Algorithm for Image Representation using GPGPUs. CoRR (2013)
Saurabh Jha, Priyank Trivedi
An automated video surveillance system using Viewpoint Feature Histogram and CUDA-enabled GPUs. ICACCI (2013)