Performance projection of HPC applications using SPEC CFP2006 benchmarks

Authors:
Sameh Sharkawi;Don DeSota;Raj Panda;Rajeev Indukuru;Stephen Stevens;Valerie Taylor;Xingfu Wu
Affiliations:
Systems and Technology Group, IBM, Austin, USA;Systems and Technology Group, IBM, Austin, USA;Systems and Technology Group, IBM, Austin, USA;Systems and Technology Group, IBM, Austin, USA;Systems and Technology Group, IBM, Austin, USA;Department of Computer Science, Texas A&MUniversity, USA;Department of Computer Science, Texas A&MUniversity, USA
Venue:
IPDPS '09 Proceedings of the 2009 IEEE International Symposium on Parallel&Distributed Processing
Year:
2009

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Abstract

Performance projections of High Performance Computing (HPC) applications onto various hardware platforms are important for hardware vendors and HPC users. The projections aid hardware vendors in the design of future systems, enable them to compare the application performance across different existing and future systems, and help HPC users with system procurement and application refinements. In this paper, we present a method for projecting the node level performance of HPC applications using published data of industry standard benchmarks, the SPEC CFP2006, and hardware performance counter data from one base machine. In particular, we project performance of eight HPC applications onto four systems, utilizing processors from different vendors, using data from one base machine, the IBM p575. The projected performance of the eight applications was within 7.2% average difference with respect to measured runtimes for IBM POWER6 systems and standard deviation of 5.3%. For two Intel based systems with different micro-architecture and Instruction Set Architecture (ISA) than the base machine, the average projection difference to measured runtimes was 10.5% with standard deviation of 8.2%.