Saurabh Jha

According to our database, Saurabh Jha authored at least 52 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

One Queue Is All You Need: Resolving Head-of-Line Blocking in Large Language Model Serving.

Archit Patke, Dhemath Reddy, Saurabh Jha, Haoran Qiu, Christian Pinto, Shengkun Cui, Chandra Narayanaswami, Zbigniew Kalbarczyk, Ravishankar K. Iyer

CoRR, 2024

Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction.

Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Basar, Ravishankar K. Iyer

CoRR, 2024

Blue Waters system and component reliability.

Brett M. Bode, David King, Celso L. Mendes, William T. Kramer, Saurabh Jha, Roger Ford, Justin Davis, Steven Dramstad

Concurr. Comput. Pract. Exp., 2024

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

Proceedings of the 2024 USENIX Annual Technical Conference, 2024

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

Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024

Fault Localization Using Interventional Causal Learning for Cloud-Native Applications.

Saurabh Jha, Jesus Rios, Naoki Abe, Frank Bagehorn, Laura Shwartz

Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024

iPrism: Characterize and Mitigate Risk by Quantifying Change in Escape Routes.

Shengkun Cui, Saurabh Jha, Ziheng Chen, Zbigniew T. Kalbarczvk, Ravishankar K. Iyer

Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

SAM: Subseries Augmentation-Based Meta-Learning for Generalizing AIOps Models in Multi-Cloud Migration.

Xi Yang, Paulito Palmes, Saurabh Jha, Bekir O. Turkkan, Gerard Vanloo, Frank Bagehorn, Chandra Narayanaswami, Larisa Shwartz, Naoki Abe, Yu Deng, Daby M. Sow

Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2023

Meta-learning Generalized AIOps Models for Multi-cloud Computer using Digital Twins.

Xi Yang, Saurabh Jha, Paulito Palmes, Bekir O. Turkkan, Gerard Vanloo, Chandra Narayanaswami, Larisa Shwartz

Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Data-Driven Application-Oriented Reliability Model of a High-Performance Computing System.

Bentolhoda Jafary, Saurabh Jha, Lance Fiondella, Ravishankar K. Iyer

IEEE Trans. Reliab., 2022

Watch Out for the Safety-Threatening Actors: Proactively Mitigating Safety Hazards.

Saurabh Jha, Shengkun Cui, Zbigniew Kalbarczyk, Ravishankar K. Iyer

CoRR, 2022

An evolutionary algorithm based feature selection and fuzzy rule reduction technique for the prediction of skin cancer.

Saurabh Jha, Ashok Kumar Mehta

Concurr. Comput. Pract. Exp., 2022

A fault injection platform for learning AIOps models.

Frank Bagehorn, Jesus Rios, Saurabh Jha, Robert Filepp, Larisa Shwartz, Naoki Abe, Xi Yang

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Evaluating Hardware Memory Disaggregation under Delay and Contention.

Archit Patke, Haoran Qiu, Saurabh Jha, Srikumar Venugopal, Michele Gazzetti, Christian Pinto, Zbigniew Kalbarczyk, Ravishankar K. Iyer

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

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

Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

Localizing and Explaining Faults in Microservices Using Distributed Tracing.

Jesus Rios, Saurabh Jha, Laura Shwartz

Proceedings of the IEEE 15th International Conference on Cloud Computing, 2022

2021

Watch out for the risky actors: Assessing risk in dynamic environments for safe driving.

Saurabh Jha, Yan Miao, Zbigniew Kalbarczyk, Ravishankar K. Iyer

CoRR, 2021

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

Proceedings of the WoSC '21: Proceedings of the Seventh International Workshop on Serverless Computing (WoSC7) 2021, 2021

Decoding Radiology: A Brief History.

Saurabh Jha

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

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

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

Computer-Aided Segmentation of Polyps Using Mask R-CNN and Approach to Reduce False Positives.

Saurabh Jha, Balaji Jagtap, Srijan Mazumdar, Saugata Sinha

Proceedings of the Intelligent Data Engineering and Analytics, 2021

BayesPerf: minimizing performance monitoring errors using Bayesian statistics.

Subho S. Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar K. Iyer

Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

2020

A fuzzy logic based approach for prediction of basal cell carcinoma and squamous cell carcinoma among the data of skin cancer.

Saurabh Jha, Ashok Kumar Mehta, Chandrashekhar Azad

EAI Endorsed Trans. Pervasive Health Technol., 2020

Application-aware Congestion Mitigation forHigh-Performance Computing Systems.

Archit Patke, Saurabh Jha, Haoran Qiu, Jim M. Brandt, Ann C. Gentile, Joe Greenseid, Zbigniew Kalbarczyk, Ravishankar K. Iyer

CoRR, 2020

ML-driven Malware that Targets AV Safety.

Saurabh Jha, Shengkun Cui, Subho S. Banerjee, Timothy Tsai, Zbigniew Kalbarczyk, Ravishankar K. Iyer

CoRR, 2020

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

Proceedings of the International Conference for High Performance Computing, 2020

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

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

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

Proceedings of the 17th USENIX Symposium on Networked Systems Design and Implementation, 2020

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

Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters.

Subho S. Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar K. Iyer

Proceedings of the 37th International Conference on Machine Learning, 2020

ML-Driven Malware that Targets AV Safety.

Saurabh Jha, Shengkun Cui, Subho S. Banerjee, James Cyriac, Timothy Tsai, Zbigniew Kalbarczyk, Ravishankar K. Iyer

Proceedings of the 50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2020

2019

Inductive Bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters.

Subho S. Banerjee, Saurabh Jha, Ravishankar K. Iyer

CoRR, 2019

Live Forensics for Distributed Storage Systems.

Saurabh Jha, Shengkun Cui, Tianyin Xu, Jeremy Enos, Mike Showerman, Mark Dalton, Zbigniew T. Kalbarczyk, William T. Kramer, Ravishankar K. Iyer

CoRR, 2019

Kayotee: A Fault Injection-based System to Assess the Safety and Reliability of Autonomous Vehicles to Faults and Errors.

Saurabh Jha, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer

CoRR, 2019

Understanding Fault Scenarios and Impacts through Fault Injection Experiments in Cielo.

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

CoRR, 2019

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

Proceedings of the 2019 IEEE Symposium on High-Performance Interconnects, 2019

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

Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019

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

Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019

2018

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 T. Kramer, Zbigniew Kalbarczyk, Ravishankar K. Iyer

IEEE Trans. Dependable Secur. Comput., 2018

AVFI: Fault Injection for Autonomous Vehicles.

Saurabh Jha, Subho S. Banerjee, James Cyriac, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer

Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2018

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

Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2018

Characterizing Supercomputer Traffic Networks Through Link-Level Analysis.

Saurabh Jha, Jim M. Brandt, Ann C. Gentile, Zbigniew Kalbarczyk, Ravishankar K. Iyer

Proceedings of the IEEE International Conference on Cluster Computing, 2018

2017

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

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2015

Improving Main Memory Hash Joins on Intel Xeon Phi Processors: An Experimental Approach.

Saurabh Jha, Bingsheng He, Mian Lu, Xuntao Cheng, Huynh Phung Huynh

Proc. VLDB Endow., 2015

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

Proceedings of the 5th Workshop on Fault Tolerance for HPC at eXtreme Scale, 2015

2014

BbmTTP: beat-based parallel simulated annealing algorithm on GPGPUs for the mirrored traveling tournament problem.

Saurabh Jha, Vijay Menon

Proceedings of the 2014 Spring Simulation Multiconference, 2014

2013

A Parallel Simulated Annealing Approach for the Mirrored Traveling Tournament Problem.

Vijay Menon, Saurabh Jha

CoRR, 2013

P-HGRMS: A Parallel Hypergraph Based Root Mean Square Algorithm for Image Denoising.

Tejaswi Agarwal, Saurabh Jha, B. Rajesh Kanna

CoRR, 2013

Exploiting data parallelism in the yConvex hypergraph algorithm for image representation using GPGPUs.

Saurabh Jha, Tejaswi Agarwal, B. Rajesh Kanna

Proceedings of the International Conference on Supercomputing, 2013

An automated video surveillance system using Viewpoint Feature Histogram and CUDA-enabled GPUs.

Saurabh Jha, Priyank Trivedi

Proceedings of the International Conference on Advances in Computing, 2013