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Tavia
Stone Gibbins
Network Analyst
Security & Networking Group
NERSC
Phone: (510) 486-4021
Fax: (510) 486-6459
Lawrence Berkeley National Laboratory
1 Cyclotron Road
Mailstop: 59R4010A
Berkeley,
CA
94720
us
Biographical Sketch
Tavia has over 15 years of experience in High Performance Computing (HPC) in both Systems Administration and Networking.
Before returning to NERSC, Tavia was Team Lead for the Systems and Operations Group at STFC Daresbury Laboratory in the UK - supporting the UK's HPC National Service systems ARCHER and HECToR, and the Hartree Centre.
Conference Papers
Baird, W. P., Bethel, W., Carter, J., Siegerist, C., Stone, T., & Wehner, M, "TRI Data Storm", Proceedings from SC'05, November 2005,
- Download File: SC05-StorCloudChallengeAward.pdf (pdf: 23 KB)
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,
- Download File: Storage-2020-A-Vision-for-the-Future-of-HPC-Storage.pdf (pdf: 3.6 MB)
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.
