SPEComp: A New Benchmark Suite for Measuring Parallel Computer Performance
We present a new benchmark suite for parallel computers. SPEComp targets mid-size parallel servers. It includes a number of science/engineering and data processing applications. Parallelism is expressed in the OpenMP API. The suite includes two data sets, Medium and Large, of approximately 1.6 and 4 GB in size. Our overview also describes the organization developing SPEComp, issues in creating OpenMP parallel benchmarks, the benchmarking methodology underlying SPEComp, and basic performance characteristics.
KeywordsBenchmark Suite Parallel Region Spec Benchmark High Performance Group OpenMP Directive
Unable to display preview. Download preview PDF.
- 1.Vishal Aslot. Performance Characterization of the SPEComp Benchmarks. Master’s thesis, Purdue University, 2001.Google Scholar
- 3.Rudolf Eigenmann, Greg Gaertner, Faisal Saied, and Mark Straka. Performance Evaluation and Benchmarking with Realistic Applications, chapter SPEC HPG Benchmarks: Performance Evaluation with Large-Scale Science and Engineering Applications, pages 40–48. MIT Press, Cambridge, Mass., 2001.Google Scholar
- 6.R. W. Hockney and M. Berry (Editors). PARKBENCH report: Public international benchmarking for parallel computers. Scientific Programming, 3(2):101–146, 1994.Google Scholar
- 7.Steven Cameron Woo, Moriyoshi Ohara, Evan Torrie, Jaswinder Pal Singh, and Anoop Gupta. The SPLASH-2 programs: Characterization and methodological considerations. In Proceedings of the 22nd International Symposium on Computer Architecture, pages 24–36, 1995.Google Scholar