Parallel Scaling Characteristics of Selected NERSC User ProjectCodes

Skinner, David ; Verdier, Francesca ; Anand, Harsh ; Carter,Jonathan ; Durst, Mark ; Gerber, Richard

Lawrence Berkeley National Laboratory

关键词: Feedback;    99 General And Miscellaneous//Mathematics, Computing, And Information Science;    Computers;    Queues;    Evaluation;   

DOI  :  10.2172/885226
RP-ID  :  LBNL/PUB--904-(2006)
RP-ID  :  DE-AC02-05CH11231
RP-ID  :  885226

美国|英语

来源: UNT Digital Library

【 摘 要 】

This report documents parallel scaling characteristics of NERSC user project codes between Fiscal Year 2003 and the first half of Fiscal Year 2004 (Oct 2002-March 2004). The codes analyzed cover 60% of all the CPU hours delivered during that time frame on seaborg, a 6080 CPU IBM SP and the largest parallel computer at NERSC. The scale in terms of concurrency and problem size of the workload is analyzed. Drawing on batch queue logs, performance data and feedback from researchers we detail the motivations, benefits, and challenges of implementing highly parallel scientific codes on current NERSC High Performance Computing systems. An evaluation and outlook of the NERSC workload for Allocation Year 2005 is presented.