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ORCIDSaurabh Gupta 0002
Person information
- affiliation: Intel Labs
- affiliation: Oak Ridge National Laboratory, USA
Other persons with the same name
- Saurabh Gupta — disambiguation page
- Saurabh Gupta 0001
![[0000-0002-1195-9028]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1195-9028")
— University of Illinois Urbana-Champaign, USA (and 2 more) - Saurabh Gupta 0003 — Kennesaw State University, GA, USA (and 2 more)
- Saurabh Gupta 0004 — AgriGenome Labs Private Limited, Hyderabad, India (and 1 more)
- Saurabh Gupta 0005 — NVIDIA Corporation, Santa Clara, CA, USA (and 1 more)
- Saurabh Gupta 0006 — Graphic Era Deemed to be University, Dehradun, India
- Saurabh Gupta 0007 — Indraprastha Institute of Information Technology Delhi, New Delhi, India
- Saurabh Gupta 0008 — LinkedIn (and 1 more)
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2020 – today
- 2021
[j2]Mohit Kumar, Saurabh Gupta, Tirthak Patel, Michael Wilder, Weisong Shi, Song Fu, Christian Engelmann, Devesh Tiwari:
Study of interconnect errors, network congestion, and applications characteristics for throttle prediction on a large scale HPC system. J. Parallel Distributed Comput. 153: 29-43 (2021)
2010 – 2019
- 2018
- [c22]Bin Nie, Ji Xue, Saurabh Gupta, Tirthak Patel, Christian Engelmann, Evgenia Smirni, Devesh Tiwari:
Machine Learning Models for GPU Error Prediction in a Large Scale HPC System. DSN 2018: 95-106 - [c21]Mohit Kumar, Saurabh Gupta, Tirthak Patel, Michael Wilder, Weisong Shi, Song Fu, Christian Engelmann, Devesh Tiwari:
Understanding and Analyzing Interconnect Errors and Network Congestion on a Large Scale HPC System. DSN 2018: 107-114 - [c20]Kun Tang, Xubin He, Saurabh Gupta, Sudharshan S. Vazhkudai, Devesh Tiwari:
Exploring the Optimal Platform Configuration for Power-Constrained HPC Workflows. ICCCN 2018: 1-9 - 2017
- [c19]Kun Tang, Devesh Tiwari, Saurabh Gupta, Sudharshan S. Vazhkudai, Xubin He:
Effective Running of End-to-End HPC Workflows on Emerging Heterogeneous Architectures. CLUSTER 2017: 344-348 - [c18]Bin Nie, Ji Xue, Saurabh Gupta, Christian Engelmann, Evgenia Smirni, Devesh Tiwari:
Characterizing Temperature, Power, and Soft-Error Behaviors in Data Center Systems: Insights, Challenges, and Opportunities. MASCOTS 2017: 22-31 - [c17]Saurabh Gupta, Tirthak Patel, Christian Engelmann, Devesh Tiwari:
Failures in large scale systems: long-term measurement, analysis, and implications. SC 2017: 44 - 2016
- [c16]Hongwen Dai, Chao Li, Huiyang Zhou, Saurabh Gupta, Christos Kartsaklis, Mike Mantor:
A model-driven approach to warp/thread-block level GPU cache bypassing. DAC 2016: 94:1-94:6 - [c15]Kun Tang, Devesh Tiwari, Saurabh Gupta, Ping Huang, Qiqi Lu, Christian Engelmann, Xubin He:
Power-Capping Aware Checkpointing: On the Interplay Among Power-Capping, Temperature, Reliability, Performance, and Energy. DSN 2016: 311-322 - [c14]Bin Nie, Devesh Tiwari, Saurabh Gupta, Evgenia Smirni, James H. Rogers:
A large-scale study of soft-errors on GPUs in the field. HPCA 2016: 519-530 - [c13]Jaimie Kelley, Christopher Stewart, Devesh Tiwari, Saurabh Gupta:
Adaptive Power Profiling for Many-Core HPC Architectures. ICAC 2016: 179-188 - [c12]Leonardo Arturo Bautista-Gomez, Ana Gainaru, Swann Perarnau, Devesh Tiwari, Saurabh Gupta, Christian Engelmann, Franck Cappello, Marc Snir:
Reducing Waste in Extreme Scale Systems through Introspective Analysis. IPDPS 2016: 212-221 - [c11]Christopher Zimmer, Saurabh Gupta, Scott Atchley, Sudharshan S. Vazhkudai, Carl Albing:
A multi-faceted approach to job placement for improved performance on extreme-scale systems. SC 2016: 1015-1025 - 2015
- [c10]Saurabh Gupta, Devesh Tiwari, Christopher Jantzi, James H. Rogers, Don Maxwell:
Understanding and Exploiting Spatial Properties of System Failures on Extreme-Scale HPC Systems. DSN 2015: 37-44 - [c9]Devesh Tiwari, Saurabh Gupta, James H. Rogers, Don Maxwell, Paolo Rech, Sudharshan S. Vazhkudai, Daniel Oliveira, Dave Londo, Nathan DeBardeleben, Philippe Olivier Alexandre Navaux, Luigi Carro, Arthur S. Bland:
Understanding GPU errors on large-scale HPC systems and the implications for system design and operation. HPCA 2015: 331-342 - [c8]Saurabh Gupta, Huiyang Zhou:
Spatial Locality-Aware Cache Partitioning for Effective Cache Sharing. ICPP 2015: 150-159 - [c7]Devesh Tiwari, Saurabh Gupta, George Gallarno, Jim Rogers, Don Maxwell:
Reliability lessons learned from GPU experience with the Titan supercomputer at Oak Ridge leadership computing facility. SC 2015: 38:1-38:12 - 2014
- [c6]Devesh Tiwari, Saurabh Gupta, Sudharshan S. Vazhkudai:
Lazy Checkpointing: Exploiting Temporal Locality in Failures to Mitigate Checkpointing Overheads on Extreme-Scale Systems. DSN 2014: 25-36 - [c5]Feiyi Wang, Sarp Oral, Saurabh Gupta, Devesh Tiwari, Sudharshan S. Vazhkudai:
Improving large-scale storage system performance via topology-aware and balanced data placement. ICPADS 2014: 656-663 - [c4]Sarp Oral, James Simmons, Jason Hill, Dustin Leverman, Feiyi Wang, Matthew A. Ezell, Ross G. Miller, Douglas Fuller, Raghul Gunasekaran, Youngjae Kim, Saurabh Gupta, Devesh Tiwari, Sudharshan S. Vazhkudai, James H. Rogers, David Dillow, Galen M. Shipman, Arthur S. Bland:
Best Practices and Lessons Learned from Deploying and Operating Large-Scale Data-Centric Parallel File Systems. SC 2014: 217-228 - 2013
- [j1]Saurabh Gupta, Ping Xiang, Yi Yang, Huiyang Zhou:
Locality principle revisited: A probability-based quantitative approach. J. Parallel Distributed Comput. 73(7): 1011-1027 (2013) - [c3]Saurabh Gupta, Hongliang Gao, Huiyang Zhou:
Adaptive Cache Bypassing for Inclusive Last Level Caches. IPDPS 2013: 1243-1253 - [c2]Saurabh Gupta, Ping Xiang, Huiyang Zhou:
Analyzing locality of memory references in GPU architectures. MSPC@PLDI 2013: 12:1-12:2 - 2012
- [c1]Saurabh Gupta, Ping Xiang, Yi Yang, Huiyang Zhou:
Locality Principle Revisited: A Probability-Based Quantitative Approach. IPDPS 2012: 995-1009
Coauthor Index
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