ISHPC 2002: High Performance Computing pp 370-379 | Cite as
Large System Performance of SPEC OMP2001 Benchmarks
Abstract
Performance characteristics of application programs on large-scale systems are often significantly different from those on smaller systems. SPEC OMP2001 is a benchmark suite intended for measuring performance of modern shared memory parallel systems. The first component of the suite, SPEC OMPM2001, is developed for medium-scale (4- to 16-way) systems. We present our experiences on benchmark development in achieving good scalability using the OpenMP API. This paper then analyzes the published results of SPEC OMPM2001 on large systems (32-way and larger), based on application program behavior and systems’ architectural features. The ongoing development of the SPEC OMP2001 benchmark suites is also discussed. Its main feature is the increased data set for large-scale systems. We refer to this suite as SPEC OMPL2001, in contrast to the current SPEC OMPM2001 (medium data set) suite.
Keywords
SPEC OMP2001 Benchmarks High-Performance Computing Performance Evaluation OpenMPPreview
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References
- 1.Vishal Aslot, Max Domeika, Rudolf Eigenmann, Greg Gaertner, Wesley B. Jones, and Bodo Parady, SPEComp: A New Benchmark Suite for Measuring Parallel Computer Performance, In Proc. Of WOMPAT 2001, Workshop on OpenMP Applications and Tools, Lecture Notes in Computer Science, vol. 2104, pages 1–10, July 2001.Google Scholar
- 2.Vishal Aslot and Rudolf Eigenmann, Performance Characteristics of the SPEC OMP2001 Benchmarks, in Proc. of the Third European Workshop on OpenMP (EWOMP’2001), Barcelona, Spain, September 2001.Google Scholar
- 3.Hidetoshi Iwashita, Eiji Yamanaka, Naoki Sueyasu, Matthijs van Waveren, and Ken Miura, The SPEC OMP2001 Benchmark on the Fujitsu PRIMEPOWER System, in Proc. of the Third European Workshop on OpenMP (EWOMP’2001), Barcelona, Spain, September 2001.Google Scholar
- 4.E. Barszcz, R. Fatoohi, V. Venkatkrishnan and S. Weeratunga, Solution of Regular Sparse Triangular Systems on Vector and Distributed-Memory Multiprocessors, Rept. No: RNR-93-007, NASA Ames Research Center, 1993.Google Scholar
- 5.Gelfgat A. Yu., Bar-Yoseph P.Z. and Solan A, Stability of confined swirling flow with and without vortex breakdown, Journal of Fluid Mechanics, vol. 311, pp. 1–36, 1996.MathSciNetMATHCrossRefGoogle Scholar
- 6.Key, S. W. and C. C. Hoff, An Improved Constant Membrane and Bending Stress Shell Element for Explicit Transient Dynamics, Computer Methods in Applied Mechanics and Engineering, Vol. 124, pp 33–47, 1995.MathSciNetMATHCrossRefGoogle Scholar
- 7.M.J. Domeika, C.W. Roberson, E.W. Page, and G.A. Tagliarini, Adaptive Resonance Theory 2 Neural Network Approach To Star Field Recognition, in Applications and Science of Artificial Neural Networks II, Steven K. Rogers, Dennis W. Ruck, Editors, Proc. SPIE 2760, pp. 589–596(1996).Google Scholar
- 8.Hesheng Bao, Jacobo Bielak, Omar Ghattas, Loukas F. Kallivokas, David R. O’Hallaron, Jonathan R. Shewchuk, and Jifeng Xu, Large-scale Simulation of Elastic Wave Propagation in Heterogeneous Media on Parallel Computers, Computer Methods in Applied Mechanics and Engineering 152(1–2):85–102, 22 January 1998.Google Scholar
- 9.OpenMP Architecture Review Board, OpenMP Fortran Application Programming Interface Version 1.1, November 1999 (http://www.openmp.org/specs/mp-documents/fspec11.pdf)
- 10.OpenMP Architecture Review Board, OpenMP Fortran Application Programming Interface Version 2.0, November 2000 (http://www.openmp.org/specs/mp-documents/fspec11.pdf)