Quantitative performance analysis of the SPEC OMPM2001 benchmarks

Issue title: OpenMP

Article type: Research Article

Authors: Aslot, Vishal | Eigenmann, Rudolf

Affiliations: Purdue University, Department of Electrical and Computer Engineering, 2600 Gracy Farms Lane, Austin, Texas 78758, USA. Tel.: +1 512 833 5545; Fax: +1 512 838 3484; E-mail: [email protected] | Purdue University, Department of Electrical and Computer Engineering, 1285 Electrical Engineering Building, West Lafayette, Indiana 47907, USA. Tel.: +1 765 494 1741; Fax: +1 765 494 6440; E-mail: [email protected]

Abstract: The state of modern computer systems has evolved to allow easy access to multiprocessor systems by supporting multiple processors on a single physical package. As the multiprocessor hardware evolves, new ways of programming it are also developed. Some inventions may merely be adopting and standardizing the older paradigms. One such evolving standard for programming shared-memory parallel computers is the OpenMP API. The Standard Performance Evaluation Corporation (SPEC) has created a suite of parallel programs called SPEC OMP to compare and evaluate modern shared-memory multiprocessor systems using the OpenMP standard. We have studied these benchmarks in detail to understand their performance on a modern architecture. In this paper, we present detailed measurements of the benchmarks. We organize, summarize, and display our measurements using a Quantitative Model. We present a detailed discussion and derivation of the model. Also, we discuss the important loops in the SPEC OMPM2001 benchmarks and the reasons for less than ideal speedup on our platform.

Journal: Scientific Programming, vol. 11, no. 2, pp. 105-124, 2003