TY - GEN
T1 - High Performance Computing Facility Operational Assessment 2022: Oak Ridge Leadership Computing Facility
AU - Abraham, Subil
AU - Abston, J. Paul
AU - Adamson, Ryan M.
AU - Atchley, Scott
AU - Barlow, Aaron
AU - Barker, Ashley
AU - Beck, Tom
AU - Bethea, Katie L.
AU - Brim, Michael
AU - Fuson, Christopher
AU - Kuchar, Olga
AU - Landfield, Ryan
AU - Lange, Jack
AU - Liu, Hong
AU - Maxwell, Don
AU - Melesse Vergara, Veronica G.
AU - Messer II, Bronson
AU - Miller, Ross
AU - Moore, Sheila
AU - Morgan, James
AU - Oral, Sarp
AU - Papatheodore, Thomas
AU - Parete-Koon, Suzanne
AU - Prout, Ryan
AU - Renaud, William
AU - Rogers II, James (Jim)
AU - Sandoval, Michael
AU - Shankar, Mallikarjun (Arjun)
AU - Simmerman, Scott
AU - Sonewald, Betsy
AU - Suh, In-Saeng
AU - Thach, Kevin G.
AU - Tichenor, Suzy
AU - Tourassi, Georgia
AU - Wang, Feiyi
AU - Ward, Spencer
AU - Whitt, Justin L.
AU - Zimmer, Christopher
PY - 2023
Y1 - 2023
N2 - The Oak Ridge Leadership Computing Facility (OLCF) was established to accelerate scientific discovery by providing world-leading computational performance and advanced data infrastructure. As a US Department of Energy (DOE) Office of Science user facility, the OLCF has managed the successful deployment and operation of a succession of leadership-class resources dedicated to open science. In addition to these resources, the OLCF staff continually strive to develop innovative processes and technologies, improve security, and empower users through allocation management and comprehensive user support and training. These efforts support the advancement of science by the OLCF users and benefit high-performance computing (HPC) facilities around the world. In calendar year (CY) 2022, the OLCF supported 1,681 users and 570 projects and exceeded all targets for user satisfaction. The facility received an average satisfaction score of 4.6 out of 5 on the annual user survey, and 96% of respondents reported a high satisfaction rate with the OLCF overall. Of the 3,212 user tickets submitted in CY 2022, OLCF staff resolved 97% within 3 business days. The facility also introduced several new services for users this year, including weekly virtual office hours with subject matter experts from ORNL and vendor partners; new views in MyOLCF that allow users to analyze allocation and compute usage for a project; the ability to build and run containers on Summit; and improved data visualization support and training resources.
AB - The Oak Ridge Leadership Computing Facility (OLCF) was established to accelerate scientific discovery by providing world-leading computational performance and advanced data infrastructure. As a US Department of Energy (DOE) Office of Science user facility, the OLCF has managed the successful deployment and operation of a succession of leadership-class resources dedicated to open science. In addition to these resources, the OLCF staff continually strive to develop innovative processes and technologies, improve security, and empower users through allocation management and comprehensive user support and training. These efforts support the advancement of science by the OLCF users and benefit high-performance computing (HPC) facilities around the world. In calendar year (CY) 2022, the OLCF supported 1,681 users and 570 projects and exceeded all targets for user satisfaction. The facility received an average satisfaction score of 4.6 out of 5 on the annual user survey, and 96% of respondents reported a high satisfaction rate with the OLCF overall. Of the 3,212 user tickets submitted in CY 2022, OLCF staff resolved 97% within 3 business days. The facility also introduced several new services for users this year, including weekly virtual office hours with subject matter experts from ORNL and vendor partners; new views in MyOLCF that allow users to analyze allocation and compute usage for a project; the ability to build and run containers on Summit; and improved data visualization support and training resources.
KW - 97 MATHEMATICS AND COMPUTING
U2 - 10.2172/2341404
DO - 10.2172/2341404
M3 - Technical Report
CY - United States
ER -