NERSCPowering Scientific Discovery Since 1974

Rei Lee

rlee.jpg
Rei Chi Lee
Storage Systems Group
National Energy Research Scientific Computing Center
Phone: (510) 495-2610
Fax: (510) 486-6459
Lawrence Berkeley National Laboratory
1 Cyclotron Road
Mailstop: 59R4010A
Berkeley, CA 94720 US

Conference Papers

Zhengji Zhao, Mike Davis, Katie Antypas, Yushu Yao, Rei Lee and Tina Butler, "Shared Library Performance on Hopper", A paper presented in the Cray User Group meeting, Apri 29-May-3, 2012, Stuttgart, German., May 3, 2012,

Presentation/Talks

J. Hick, R. Lee, R. Cheema, K. Fagnan, GPFS for Life Sciences at NERSC, GPFS User Group Meeting, May 20, 2015,

A report showing both high and low-level changes made to our life sciences workloads to support them on GPFS file systems.

Zhengji Zhao, Mike Davis, Katie Antypas, Yushu Yao, Rei Lee and Tina Butler, Shared Library Performance on Hopper, A talk in the Cray User Group meeting, Apri 29-May-3, 2012, Stuttgart, German., May 3, 2012,

Zhengji Zhao, Mike Davis, Katie Antypas, Rei Lee and Tina Butler, Shared Library Performance on Hopper, Oct. 26, 2011, Cray Quarterly Meeting at St Paul, MN, October 26, 2011,

Reports

Glenn K. Lockwood, Damian Hazen, Quincey Koziol, Shane Canon, Katie Antypas, Jan Balewski, Nicholas Balthaser, Wahid Bhimji, James Botts, Jeff Broughton, Tina L. Butler, Gregory F. Butler, Ravi Cheema, Christopher Daley, Tina Declerck, Lisa Gerhardt, Wayne E. Hurlbert, Kristy A. Kallback-
Rose, Stephen Leak, Jason Lee, Rei Lee, Jialin Liu, Kirill Lozinskiy, David Paul, Prabhat, Cory Snavely, Jay Srinivasan, Tavia Stone Gibbins, Nicholas J. Wright,
"Storage 2020: A Vision for the Future of HPC Storage", October 20, 2017, LBNL LBNL-2001072,

As the DOE Office of Science's mission computing facility, NERSC will follow this roadmap and deploy these new storage technologies to continue delivering storage resources that meet the needs of its broad user community. NERSC's diversity of workflows encompass significant portions of open science workloads as well, and the findings presented in this report are also intended to be a blueprint for how the evolving storage landscape can be best utilized by the greater HPC community. Executing the strategy presented here will ensure that emerging I/O technologies will be both applicable to and effective in enabling scientific discovery through extreme-scale simulation and data analysis in the coming decade.