Saurabh Jha

79 papers A* 7A 11B 2C 2Misc 1Journal 38Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Context Engineering Framework for Improving Enterprise AI Agents based on Digital-Twin MDP.
CoRR
Xi Yang, Aurélie C. Lozano, Naoki Abe, Bhavya, Saurabh Jha, Noah Zheutlin, Rohan R. Arora, Yu Deng, Daby M. Sow
2026 J jnl
Quantifying Edge Intelligence: Inference-Time Scaling Formalisms for Heterogeneous Computing.
CoRR
Satyam Kumar, Saurabh Jha
2026 J jnl
RAMP: Reinforcement Adaptive Mixed Precision Quantization for Efficient On Device LLM Inference.
CoRR
Arpit Singh Gautam, Saurabh Jha
2026 J jnl
The Energy of Falsehood: Detecting Hallucinations via Diffusion Model Likelihoods.
CoRR
Arpit Singh Gautam, Kailash Talreja, Saurabh Jha
2026 J jnl
Think Locally, Explain Globally: Graph-Guided LLM Investigations via Local Reasoning and Belief Propagation.
CoRR
Saurabh Jha, Rohan R. Arora, Bhavya, Noah Zheutlin, Paulina Toro Isaza, Laura Shwartz, Yu Deng, Daby Sow, Ruchi Mahindru, Ruchir Puri
2025 J jnl
Agentic Structured Graph Traversal for Root Cause Analysis of Code-related Incidents in Cloud Applications.
CoRR
Shengkun Cui, Rahul Krishna, Saurabh Jha, Ravishankar K. Iyer
2025 — conf
Benchmarking AI Agents for IT Automation Tasks with ITBench.
DSN-S
Jackson Clark, Rohan R. Arora, Saurabh Jha
2025 — conf
CPU-Limits kill Performance: Time to rethink Resource Control.
SoCC
Chirag C. Shetty, Sarthak Chakraborty, Hubertus Franke, Larisa Shwartz, Chandra Narayanaswami, Indranil Gupta, Saurabh Jha
2025 J jnl
CPU-Limits kill Performance: Time to rethink Resource Control.
CoRR
Chirag C. Shetty, Sarthak Chakraborty, Hubertus Franke, Larisa Shwartz, Chandra Narayanaswami, Indranil Gupta, Saurabh Jha
2025 J jnl
Causal AI-based Root Cause Identification: Research to Practice at Scale.
CoRR
Saurabh Jha, Ameet Rahane, Laura Shwartz, Marc Palaci-Olgun, Frank Bagehorn, Jesus Rios, Dan Stingaciu, Ragu Kattinakere, Debasish Banerjee
2025 J jnl
Characterizing GPU Resilience and Impact on AI/HPC Systems.
CoRR
Shengkun Cui, Archit Patke, Ziheng Chen, Aditya Ranjan, Hung Nguyen, Phuong Cao, Saurabh Jha, Brett M. Bode, Gregory H. Bauer, Chandra Narayanaswami, Daby Sow, Catello Di Martino, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
2025 — conf
Characterizing Modern GPU Resilience and Impact in HPC Systems: A Case Study of A100 GPUs.
DSN-W
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 J jnl
CogniSQL-R1-Zero: Lightweight Reinforced Reasoning for Efficient SQL Generation.
CoRR
Kushal Gajjar, Harshit Sikchi, Arpit Singh Gautam, Marc Hammons, Saurabh Jha
2025 J jnl
Hierarchical Autoscaling for Large Language Model Serving with Chiron.
CoRR
Archit Patke, Dhemath Reddy, Saurabh Jha, Chandra Narayanaswami, Zbigniew Kalbarczyk, Ravishankar K. Iyer
2025 J jnl
INDIGO: Page Migration for Hardware Memory Disaggregation Across a Network.
CoRR
Archit Patke, Christian Pinto, Saurabh Jha, Haoran Qiu, Zbigniew Kalbarczyk, Ravishankar K. Iyer
2025 A* conf
ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks.
ICML
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 J jnl
ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks.
CoRR
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, Pavankumar Murali, Jae-wook Ahn, Debanjana Kar, Ameet Rahane, Carlos Fonseca, 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 A conf
Page Migration for Hardware Memory Disaggregation Across a Network.
ICS
Archit Patke, Christian Pinto, Saurabh Jha, Haoran Qiu, Zbigniew Kalbarczyk, Ravishankar K. Iyer
2025 J jnl
Repairing Tool Calls Using Post-tool Execution Reflection and RAG.
CoRR
Jason Tsay, Zidane Wright, Gaodan Fang, Kiran Kate, Saurabh Jha, Yara Rizk
2025 J jnl
STRATUS: A Multi-agent System for Autonomous Reliability Engineering of Modern Clouds.
CoRR
Yinfang Chen, Jiaqi Pan, Jackson Clark, Yiming Su, Noah Zheutlin, Bhavya, Rohan R. Arora, Yu Deng, Saurabh Jha, Tianyin Xu
2025 A conf
Story of Two GPUs: Characterizing the Resilience of Hopper H100 and Ampere A100 GPUs.
SC
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 J jnl
Blue Waters system and component reliability.
Concurr. Comput. Pract. Exp.
Brett M. Bode, David King, Celso L. Mendes, William T. Kramer, Saurabh Jha, Roger Ford, Justin Davis, Steven Dramstad
2024 J jnl
Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction.
CoRR
Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer
2024 — conf
Fault Localization Using Interventional Causal Learning for Cloud-Native Applications.
DSN-S
Saurabh Jha, Jesus Rios, Naoki Abe, Frank Bagehorn, Laura Shwartz
2024 J jnl
One Queue Is All You Need: Resolving Head-of-Line Blocking in Large Language Model Serving.
CoRR
Archit Patke, Dhemath Reddy, Saurabh Jha, Haoran Qiu, Christian Pinto, Shengkun Cui, Chandra Narayanaswami, Zbigniew Kalbarczyk, Ravishankar K. Iyer
2024 A* conf
Optimizing IT FinOps and Sustainability through Unsupervised Workload Characterization.
AAAI
Xi Yang, Rohan R. Arora, Saurabh Jha, Chandra Narayanaswami, Cheuk Lam, Jerrold Leichter, Yu Deng, Daby M. Sow
2024 — conf
Power-aware Deep Learning Model Serving with μ-Serve.
USENIX ATC
Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Basar, Ravishankar K. Iyer
2024 — conf
Queue Management for SLO-Oriented Large Language Model Serving.
SoCC
Archit Patke, Dhemath Reddy, Saurabh Jha, Haoran Qiu, Christian Pinto, Chandra Narayanaswami, Zbigniew Kalbarczyk, Ravishankar K. Iyer
2024 B conf
SAM: Subseries Augmentation-Based Meta-Learning for Generalizing AIOps Models in Multi-Cloud Migration.
CLOUD
Xi Yang, Paulito Palmes, Saurabh Jha, Bekir O. Turkkan, Gerard Vanloo, Frank Bagehorn, Chandra Narayanaswami, Larisa Shwartz, Naoki Abe, Yu Deng, Daby M. Sow
2024 — conf
When Green Computing Meets Performance and Resilience SLOs.
DSN-S
Haoran Qiu, Weichao Mao, Chen Wang, Saurabh Jha, Hubertus Franke, Chandra Narayanaswami, Zbigniew Kalbarczyk, Tamer Basar, Ravishankar K. Iyer
2024 A conf
iPrism: Characterize and Mitigate Risk by Quantifying Change in Escape Routes.
DSN
Shengkun Cui, Saurabh Jha, Ziheng Chen, Zbigniew T. Kalbarczvk, Ravishankar K. Iyer
2023 A* conf
Fault Injection Based Interventional Causal Learning for Distributed Applications.
AAAI
Qing Wang, Jesus Rios, Saurabh Jha, Karthikeyan Shanmugam, Frank Bagehorn, Xi Yang, Robert Filepp, Naoki Abe, Larisa Shwartz
2023 — conf
Meta-learning Generalized AIOps Models for Multi-cloud Computer using Digital Twins.
CASCON
Xi Yang, Saurabh Jha, Paulito Palmes, Bekir O. Turkkan, Gerard Vanloo, Chandra Narayanaswami, Larisa Shwartz
2022 A* conf
A fault injection platform for learning AIOps models.
ASE
Frank Bagehorn, Jesus Rios, Saurabh Jha, Robert Filepp, Larisa Shwartz, Naoki Abe, Xi Yang
2022 J jnl
An evolutionary algorithm based feature selection and fuzzy rule reduction technique for the prediction of skin cancer.
Concurr. Comput. Pract. Exp.
Saurabh Jha, Ashok Kumar Mehta
2022 J jnl
Data-Driven Application-Oriented Reliability Model of a High-Performance Computing System.
IEEE Trans. Reliab.
Bentolhoda Jafary, Saurabh Jha, Lance Fiondella, Ravishankar K. Iyer
2022 — conf
Evaluating Hardware Memory Disaggregation under Delay and Contention.
IPDPS Workshops
Archit Patke, Haoran Qiu, Saurabh Jha, Srikumar Venugopal, Michele Gazzetti, Christian Pinto, Zbigniew Kalbarczyk, Ravishankar K. Iyer
2022 A conf
Exploiting Temporal Data Diversity for Detecting Safety-critical Faults in AV Compute Systems.
DSN
Saurabh Jha, Shengkun Cui, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer
2022 B conf
Localizing and Explaining Faults in Microservices Using Distributed Tracing.
CLOUD
Jesus Rios, Saurabh Jha, Laura Shwartz
2022 J jnl
Watch Out for the Safety-Threatening Actors: Proactively Mitigating Safety Hazards.
CoRR
Saurabh Jha, Shengkun Cui, Zbigniew Kalbarczyk, Ravishankar K. Iyer
2021 J jnl
BayesPerf: Minimizing Performance Monitoring Errors Using Bayesian Statistics.
CoRR
Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
2021 A* conf
BayesPerf: minimizing performance monitoring errors using Bayesian statistics.
ASPLOS
Subho S. Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar K. Iyer
2021 — conf
Computer-Aided Segmentation of Polyps Using Mask R-CNN and Approach to Reduce False Positives.
FICTA (1)
Saurabh Jha, Balaji Jagtap, Srijan Mazumdar, Saugata Sinha
2021 — conf
Decoding Radiology: A Brief History.
Computer-Aided Diagnosis
Saurabh Jha
2021 A conf
Delay sensitivity-driven congestion mitigation for HPC systems.
ICS
Archit Patke, Saurabh Jha, Haoran Qiu, Jim M. Brandt, Ann C. Gentile, Joe Greenseid, Zbigniew Kalbarczyk, Ravishankar K. Iyer
2021 — conf
Is Function-as-a-Service a Good Fit for Latency-Critical Services?
WOSC@Middleware
Haoran Qiu, Saurabh Jha, Subho S. Banerjee, Archit Patke, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
2021 J jnl
Watch out for the risky actors: Assessing risk in dynamic environments for safe driving.
CoRR
Saurabh Jha, Yan Miao, Zbigniew Kalbarczyk, Ravishankar K. Iyer
2020 J jnl
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.
Saurabh Jha, Ashok Kumar Mehta, Chandrashekhar Azad
2020 A conf
AV-FUZZER: Finding Safety Violations in Autonomous Driving Systems.
ISSRE
Guanpeng Li, Yiran Li, Saurabh Jha, Timothy Tsai, Michael B. Sullivan, Siva Kumar Sastry Hari, Zbigniew Kalbarczyk, Ravishankar K. Iyer
2020 J jnl
Application-aware Congestion Mitigation forHigh-Performance Computing Systems.
CoRR
Archit Patke, Saurabh Jha, Haoran Qiu, Jim M. Brandt, Ann C. Gentile, Joe Greenseid, Zbigniew Kalbarczyk, Ravishankar K. Iyer
2020 J jnl
FIRM: An Intelligent Fine-Grained Resource Management Framework for SLO-Oriented Microservices.
CoRR
Haoran Qiu, Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
2020 A* conf
FIRM: An Intelligent Fine-grained Resource Management Framework for SLO-Oriented Microservices.
OSDI
Haoran Qiu, Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
2020 A* conf
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters.
ICML
Subho S. Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar K. Iyer
2020 A conf
Live forensics for HPC systems: a case study on distributed storage systems.
SC
Saurabh Jha, Shengkun Cui, Subho S. Banerjee, Tianyin Xu, Jeremy Enos, Mike Showerman, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
2020 A conf
ML-Driven Malware that Targets AV Safety.
DSN
Saurabh Jha, Shengkun Cui, Subho S. Banerjee, James Cyriac, Timothy Tsai, Zbigniew Kalbarczyk, Ravishankar K. Iyer
2020 J jnl
ML-driven Malware that Targets AV Safety.
CoRR
Saurabh Jha, Shengkun Cui, Subho S. Banerjee, Timothy Tsai, Zbigniew Kalbarczyk, Ravishankar K. Iyer
2020 Misc conf
Measuring Congestion in High-Performance Datacenter Interconnects.
NSDI
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
2019 — conf
A Study of Network Congestion in Two Supercomputing High-Speed Interconnects.
Hot Interconnects
Saurabh Jha, Archit Patke, Jim M. Brandt, Ann C. Gentile, Mike Showerman, Eric Roman, Zbigniew T. Kalbarczyk, Bill Kramer, Ravishankar K. Iyer
2019 J jnl
A Study of Network Congestion in Two Supercomputing High-Speed Interconnects.
CoRR
Saurabh Jha, Archit Patke, Jim M. Brandt, Ann C. Gentile, Mike Showerman, Eric Roman, Zbigniew T. Kalbarczyk, William T. Kramer, Ravishankar K. Iyer
2019 J jnl
Inductive Bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters.
CoRR
Subho S. Banerjee, Saurabh Jha, Ravishankar K. Iyer
2019 J jnl
Kayotee: A Fault Injection-based System to Assess the Safety and Reliability of Autonomous Vehicles to Faults and Errors.
CoRR
Saurabh Jha, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer
2019 J jnl
Live Forensics for Distributed Storage Systems.
CoRR
Saurabh Jha, Shengkun Cui, Tianyin Xu, Jeremy Enos, Mike Showerman, Mark Dalton, Zbigniew T. Kalbarczyk, William T. Kramer, Ravishankar K. Iyer
2019 A conf
ML-Based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection.
DSN
Saurabh Jha, Subho S. Banerjee, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer
2019 J jnl
ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection.
CoRR
Saurabh Jha, Subho S. Banerjee, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer
2019 — conf
Towards a Bayesian Approach for Assessing Fault Tolerance of Deep Neural Networks.
DSN (Supplements)
Subho S. Banerjee, James Cyriac, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
2019 J jnl
Understanding Fault Scenarios and Impacts through Fault Injection Experiments in Cielo.
CoRR
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
2018 — conf
AVFI: Fault Injection for Autonomous Vehicles.
DSN Workshops
Saurabh Jha, Subho S. Banerjee, James Cyriac, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
2018 C conf
Characterizing Supercomputer Traffic Networks Through Link-Level Analysis.
CLUSTER
Saurabh Jha, Jim M. Brandt, Ann C. Gentile, Zbigniew Kalbarczyk, Ravishankar K. Iyer
2018 A conf
Hands Off the Wheel in Autonomous Vehicles?: A Systems Perspective on over a Million Miles of Field Data.
DSN
Subho S. Banerjee, Saurabh Jha, James Cyriac, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
2018 J jnl
Resiliency of HPC Interconnects: A Case Study of Interconnect Failures and Recovery in Blue Waters.
IEEE Trans. Dependable Secur. Comput.
Saurabh Jha, Valerio Formicola, Catello Di Martino, Mark Dalton, William T. Kramer, Zbigniew Kalbarczyk, Ravishankar K. Iyer
2017 C conf
Holistic Measurement-Driven System Assessment.
CLUSTER
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 J jnl
Improving Main Memory Hash Joins on Intel Xeon Phi Processors: An Experimental Approach.
Proc. VLDB Endow.
Saurabh Jha, Bingsheng He, Mian Lu, Xuntao Cheng, Huynh Phung Huynh
2015 — conf
LogDiver: A Tool for Measuring Resilience of Extreme-Scale Systems and Applications.
FTXS@HPDC
Catello Di Martino, Saurabh Jha, William Kramer, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer
2014 — conf
BbmTTP: beat-based parallel simulated annealing algorithm on GPGPUs for the mirrored traveling tournament problem.
SpringSim (HPS)
Saurabh Jha, Vijay Menon
2013 J jnl
A Parallel Simulated Annealing Approach for the Mirrored Traveling Tournament Problem.
CoRR
Vijay Menon, Saurabh Jha
2013 — conf
An automated video surveillance system using Viewpoint Feature Histogram and CUDA-enabled GPUs.
ICACCI
Saurabh Jha, Priyank Trivedi
2013 J jnl
Exploiting Data Parallelism in the yConvex Hypergraph Algorithm for Image Representation using GPGPUs.
CoRR
Saurabh Jha, Tejaswi Agarwal, B. Rajesh Kanna
2013 A conf
Exploiting data parallelism in the yConvex hypergraph algorithm for image representation using GPGPUs.
ICS
Saurabh Jha, Tejaswi Agarwal, B. Rajesh Kanna
2013 J jnl
P-HGRMS: A Parallel Hypergraph Based Root Mean Square Algorithm for Image Denoising.
CoRR
Tejaswi Agarwal, Saurabh Jha, B. Rajesh Kanna