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Saurabh 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) - [c30]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 - [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. Medical Imaging: 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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