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Dustin Leverman

dblp:157/2886 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0001-9618-4040ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 3

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
3 papers
Storage systems · 60% High-performance computing · 34% Performance modeling and evaluation · 5%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Storage systems › file systems › distributed file system
parallel file system
0.622019
End-to-end I/O portfolio for the summit supercomputing ecosystem · SC 2019
Best Practices and Lessons Learned from Deploying and Operating Large-Scale Data-Centric Parallel File Systems · SC 2014
Storage systems
flash and SSD
0.412019
End-to-end I/O portfolio for the summit supercomputing ecosystem · SC 2019
High-performance computing › supercomputing
supercomputer deployment
0.312018
The design, deployment, and evaluation of the CORAL pre-exascale systems · SC 2018
High-performance computing
supercomputing
0.322019
Best Practices and Lessons Learned from Deploying and Operating Large-Scale Data-Centric Parallel File Systems · SC 2014
End-to-end I/O portfolio for the summit supercomputing ecosystem · SC 2019
Storage systems › i/o architecture
i/o subsystem
0.112019
End-to-end I/O portfolio for the summit supercomputing ecosystem · SC 2019
Performance modeling and evaluation
benchmarking
0.112018
The design, deployment, and evaluation of the CORAL pre-exascale systems · SC 2018
Storage systems
storage reliability
0.112014
Best Practices and Lessons Learned from Deploying and Operating Large-Scale Data-Centric Parallel File Systems · SC 2014

Methods — techniques the papers use, named apart from their topics

end-to-end i/o solution · 0.4data movement · 0.4technology evaluation · 0.2benchmarking · 0.2
YearPublicationVenuePosition
2019 End-to-end I/O portfolio for the summit supercomputing ecosystem
abstract
The I/O subsystem for the Summit supercomputer, No. 1 on the Top500 list, and its ecosystem of analysis platforms is composed of two distinct layers, namely the in-system layer and the center-wide parallel file system layer (PFS), Spider 3. The in-system layer uses node-local SSDs and provides 26.7 TB/s for reads, 9.7 TB/s for writes, and 4.6 billion IOPS to Summit. The Spider 3 PFS layer uses IBM's Spectrum Scale™ and provides 2.5 TB/s and 2.6 million IOPS to Summit and other systems. While deploying them as two distinct layers was operationally efficient, it also presented usability challenges in terms of multiple mount points and lack of transparency in data movement. To address these challenges, we have developed novel end-to-end I/O solutions for the concerted use of the two storage layers. We present the I/O subsystem architecture, the end-to-end I/O solution space, their design considerations and our deployment experience.
Sarp Oral, Sudharshan S. Vazhkudai, Feiyi Wang, Christopher Zimmer 0001, Christopher Brumgard, Jesse Hanley, George Markomanolis, Ross G. Miller, Dustin Leverman, Scott Atchley, Verónica G. Vergara Larrea
SC9
2018 The design, deployment, and evaluation of the CORAL pre-exascale systems
Sudharshan S. Vazhkudai, Bronis R. de Supinski, Arthur S. Bland, Al Geist, James C. Sexton, James A. Kahle, Christopher Zimmer 0001, Scott Atchley, Sarp Oral, Don E. Maxwell, Verónica G. Vergara Larrea, Adam Bertsch, Robin Goldstone, Wayne Joubert, Christopher M. Chambreau, David Appelhans, Robert Blackmore, Ben Casses, George Chochia, Gene Davison, Matthew Ezell, Thomas Gooding, Elsa Gonsiorowski, Leopold Grinberg, Bill Hanson, Bill Hartner, Ian Karlin, Matthew L. Leininger, Dustin Leverman, Chris Marroquin, Adam Moody, Martin Ohmacht, Ramesh Pankajakshan, Fernando Pizzano, James H. Rogers, Bryan S. Rosenburg, Drew Schmidt, Mallikarjun Shankar, Feiyi Wang, Py Watson, Bob Walkup, Lance D. Weems, Junqi Yin
SC29
2014 Best Practices and Lessons Learned from Deploying and Operating Large-Scale Data-Centric Parallel File Systems
abstract
The Oak Ridge Leadership Computing Facility (OLCF) has deployed multiple large-scale parallel file systems (PFS) to support its operations. During this process, OLCF acquired significant expertise in large-scale storage system design, file system software development, technology evaluation, benchmarking, procurement, deployment, and operational practices. Based on the lessons learned from each new PFS deployment, OLCF improved its operating procedures, and strategies. This paper provides an account of our experience and lessons learned in acquiring, deploying, and operating large-scale parallel file systems. We believe that these lessons will be useful to the wider HPC community.
Sarp Oral, James Simmons, Jason Hill, Dustin Leverman, Feiyi Wang, Matthew Ezell, Ross G. Miller, Douglas Fuller, Raghul Gunasekaran, Youngjae Kim 0001, Saurabh Gupta 0002, Devesh Tiwari, Sudharshan S. Vazhkudai, James H. Rogers, David Dillow, Galen M. Shipman, Arthur S. Bland
SC4