Snowmass 2021 Computational Frontier CompF4 Topical Group Report Storage and Processing Resource Access

Authors

W. Bhimji, Lawrence Berkeley National Laboratory,
D. Carder, Energy Sciences Network
E. Dart, Energy Sciences Network
J. Duarte, University of California San Diego
I. Fisk, Flatiron Institute
R. Gardner, University of Chicago
C. Guok, Energy Sciences Network
B. Jayatilaka, Fermi National Accelerator Laboratory
T. Lehman, Energy Sciences Network
M. Lin, Brookhaven National Laboratory
C. Maltzahn, University of California Santa Cruz
S. McKee, University of Michigan-Ann Arbor
M. S. Neubauer, University of Illinois Urbana-Champaign
O. Rind, Brookhaven National Laboratory
O. Shadura, University of Nebraska-LincolnFollow
N. V. Tran, Fermi National Accelerator Laboratory
P. van Gemmeren, Argonne National Laboratory
G. Watts, University of Washington
B. A. Weaver, NOIRLab
F. Würthwein, University of California San Diego

Date of this Version

3-31-2023

Citation

Computing and Software for Big Science (2023) 7:5 https://doi.org/10.1007/s41781-023-00097-7

Comments

Used by permission.

Abstract

The Snowmass 2021 CompF4 topical group’s scope is facilities R&D, where we consider “facilities” as the hardware and software infrastructure inside the data centers plus the networking between data centers, irrespective of who owns them, and what policies are applied for using them. In other words, it includes commercial clouds, federally funded High Performance Computing (HPC) systems for all of science, and systems funded explicitly for a given experimental or theoretical program. However, we explicitly consider any data centers that are integrated into data acquisition systems or trigger of the experiments out of scope here. Those systems tend to have requirements that are quite distinct from the data center functionality required for “offline” processing and storage.