Tavia Stone Gibbins

Tavia Stone Gibbins

Sr. Network Analyst

Security & Networking Group

NERSC

tcstone@lbl.gov

Fax: (510) 486-6459

Lawrence Berkeley National Laboratory

1 Cyclotron Road

Mailstop: 59R4010A

Berkeley, CA 94720 us

Biographical Sketch

Tavia has 20+ years of experience in High Performance Computing (HPC) in both Systems Administration, Storage and Networking.

As a Sr. Network Analyst in the Security & Networking Group, Tavia works to keep NERSC's network & our WAN connection to ESnet UP and reliable. The team designs and implements infrastructure improvements to provide the bandwidth & accessibility to NERSC resources that our users need - most recently upgrading to a 400Gb/s datacenter network backbone.

Recently, Tavia was the Network Integration Lead for the NERSC-9 project, actively working with the vendor to ensure a successful integration of the Perlmutter system to the NERSC datacenter.

Before coming 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 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

GK Lockwood, D Hazen, Q Koziol, RS Canon, K Antypas, J Balewski, N Balthaser, W Bhimji, J Botts, J Broughton, TL Butler, GF Butler, R Cheema, C Daley, T Declerck, L Gerhardt, WE Hurlbert, KA Kallback-Rose, S Leak, J Lee, R Lee, J Liu, K Lozinskiy, D Paul, Prabhat, C Snavely, J Srinivasan, T Stone Gibbins, NJ 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.