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ORCIDSaurabh Jha
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2020 – today
- 2024
[j6]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)- [c35]Xi Yang, Paulito Palmes, Saurabh Jha, Bekir O. Turkkan, Gerard Vanloo, Frank Bagehorn, Chandra Narayanaswami, Larisa Shwartz, Naoki Abe, Yu Deng, Daby M. Sow:
SAM: Subseries Augmentation-Based Meta-Learning for Generalizing AIOps Models in Multi-Cloud Migration. CLOUD 2024: 291-301 - [c34]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: 22990-22996 - [c33]Archit Patke, Dhemath Reddy, Saurabh Jha, Haoran Qiu, Christian Pinto, Chandra Narayanaswami, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Queue Management for SLO-Oriented Large Language Model Serving. SoCC 2024: 18-35 - [c32]Haoran Qiu, Weichao Mao, Chen Wang, Saurabh Jha, Hubertus Franke, Chandra Narayanaswami, Zbigniew Kalbarczyk, Tamer Basar, Ravishankar K. Iyer:
When Green Computing Meets Performance and Resilience SLOs. DSN-S 2024: 17-22 - [c31]Saurabh Jha, Jesus Rios, Naoki Abe, Frank Bagehorn, Laura Shwartz:
Fault Localization Using Interventional Causal Learning for Cloud-Native Applications. DSN-S 2024: 141-147 - [c30]Shengkun Cui, Saurabh Jha, Ziheng Chen, Zbigniew T. Kalbarczvk, Ravishankar K. Iyer:
iPrism: Characterize and Mitigate Risk by Quantifying Change in Escape Routes. DSN 2024: 142-155 - [c29]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: 75-93 - [i17]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 abs/2404.08509 (2024) - [i16]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 abs/2407.00047 (2024) - 2023
- [c28]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: 15738-15744 - [c27]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: 206-210 - 2022
- [j5]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) - [j4]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): 603-615 (2022) - [c26]Jesus Rios, Saurabh Jha, Laura Shwartz:
Localizing and Explaining Faults in Microservices Using Distributed Tracing. CLOUD 2022: 489-499 - [c25]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: 88-100 - [c24]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: 1221-1227 - [c23]Frank Bagehorn, Jesus Rios, Saurabh Jha, Robert Filepp, Larisa Shwartz, Naoki Abe, Xi Yang:
A fault injection platform for learning AIOps models. ASE 2022: 130:1-130:5 - [i15]Saurabh Jha, Shengkun Cui, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Watch Out for the Safety-Threatening Actors: Proactively Mitigating Safety Hazards. CoRR abs/2206.00886 (2022) - 2021
- [c22]Subho S. Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
BayesPerf: minimizing performance monitoring errors using Bayesian statistics. ASPLOS 2021: 832-844 - [c21]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: 91-98 - [c20]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: 342-353 - [c19]Saurabh Jha:
Decoding Radiology: A Brief History. Computer-Aided Diagnosis 2021 - [c18]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: 1-8 - [i14]Subho S. Banerjee, Saurabh Jha, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
BayesPerf: Minimizing Performance Monitoring Errors Using Bayesian Statistics. CoRR abs/2102.10837 (2021) - [i13]Saurabh Jha, Yan Miao, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Watch out for the risky actors: Assessing risk in dynamic environments for safe driving. CoRR abs/2110.09998 (2021) - 2020
- [j3]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): e4 (2020) - [c17]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: 113-124 - [c16]Subho S. Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters. ICML 2020: 629-641 - [c15]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: 25-36 - [c14]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: 37-57 - [c13]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: 805-825 - [c12]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: 65 - [i12]Saurabh Jha, Shengkun Cui, Subho S. Banerjee, Timothy Tsai, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
ML-driven Malware that Targets AV Safety. CoRR abs/2004.13004 (2020) - [i11]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 abs/2008.08509 (2020) - [i10]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 abs/2012.07755 (2020)
2010 – 2019
- 2019
- [c11]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: 25-26 - [c10]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: 112-124 - [c9]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: 45-48 - [i9]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 abs/1907.01019 (2019) - [i8]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 abs/1907.01024 (2019) - [i7]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 abs/1907.01051 (2019) - [i6]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 abs/1907.05312 (2019) - [i5]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 abs/1907.10203 (2019) - [i4]Subho S. Banerjee, Saurabh Jha, Ravishankar K. Iyer:
Inductive Bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters. CoRR abs/1909.02119 (2019) - 2018
- [j2]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): 915-930 (2018) - [c8]Saurabh Jha, Jim M. Brandt, Ann C. Gentile, Zbigniew Kalbarczyk, Ravishankar K. Iyer:
Characterizing Supercomputer Traffic Networks Through Link-Level Analysis. CLUSTER 2018: 562-570 - [c7]Saurabh Jha, Subho S. Banerjee, James Cyriac, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer:
AVFI: Fault Injection for Autonomous Vehicles. DSN Workshops 2018: 55-56 - [c6]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: 586-597 - 2017
- [c5]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: 797-800 - 2015
- [j1]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): 642-653 (2015) - [c4]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: 11-18 - 2014
- [c3]Saurabh Jha, Vijay Menon:
BbmTTP: beat-based parallel simulated annealing algorithm on GPGPUs for the mirrored traveling tournament problem. SpringSim (HPS) 2014: 3 - 2013
- [c2]Saurabh Jha, Priyank Trivedi:
An automated video surveillance system using Viewpoint Feature Histogram and CUDA-enabled GPUs. ICACCI 2013: 1812-1816 - [c1]Saurabh Jha, Tejaswi Agarwal, B. Rajesh Kanna:
Exploiting data parallelism in the yConvex hypergraph algorithm for image representation using GPGPUs. ICS 2013: 475-476 - [i3]Tejaswi Agarwal, Saurabh Jha, B. Rajesh Kanna:
P-HGRMS: A Parallel Hypergraph Based Root Mean Square Algorithm for Image Denoising. CoRR abs/1306.5390 (2013) - [i2]Saurabh Jha, Tejaswi Agarwal, B. Rajesh Kanna:
Exploiting Data Parallelism in the yConvex Hypergraph Algorithm for Image Representation using GPGPUs. CoRR abs/1307.2560 (2013) - [i1]Vijay Menon, Saurabh Jha:
A Parallel Simulated Annealing Approach for the Mirrored Traveling Tournament Problem. CoRR abs/1311.1884 (2013)
Coauthor Index
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last updated on 2024-12-02 22:31 CET by the dblp team
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