HPC Challenge Benchmark
Original author(s) | Innovative Computing Laboratory, University of Tennessee |
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Stable release | 1.4.1
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Platform | Cross-platform |
License | BSD |
Website | http://icl.cs.utk.edu/hpcc/ |
The HPC Challenge Benchmark is a set of benchmarks targeting to test multiple attributes that can contribute substantially to the real-world performance of HPC systems, co-sponsored by the DARPA High Productivity Computing Systems program, the United States Department of Energy and the National Science Foundation.[1]
It consists at this time of 7 benchmarks: HPL, STREAM, RandomAccess, PTRANS, FFTE, DGEMM and b_eff Latency/Bandwidth. HPL is the LINPACK TPP (Toward Peak Performance) benchmark. The test stresses the floating point performance of a system. STREAM is a benchmark that measures sustainable memory bandwidth. RandomAccess measures the rate of random updates of memory. PTRANS measures the rate of transfer for larges arrays of data from multiprocessor's memory. Latency/Bandwidth measures latency and bandwidth of communication patterns of increasing complexity between as many nodes as is time-wise feasible.[2]
The annual HPC Challenge Award Competition at the Supercomputing Conference focuses on four of the most challenging benchmarks in the suite:
- Global HPL
- Global RandomAccess and SSB Random Access Benchmark
- EP STREAM (Triad) per system
- Global FFT
There are two classes of awards:
- Class 1: Best performance on a base or optimized run submitted to the HPC Challenge website.
- Class 2: Most "elegant" implementation of four or more of the HPC Challenge benchmarks.[3]
See also
References
- ^ "Cray X1 Supercomputer Has Highest Reported Scores on Government-Sponsored HPC Challenge Benchmark Tests". 2004-06-14. Retrieved 2010-01-22.
- ^ "HPCC FAQ". University of Tennessee. Retrieved 2010-01-22.
- ^ "HPC Challenge Award Competition". DARPA HPCS Program. Retrieved 2010-01-23.
External links
- HPC Challenge Benchmark Official Website
- HPC Challenge Award Competition Official Website
- SSB Random Access Benchmark Best Paper: Performance Evaluation and Optimization of Random Memory Access on Multicores with High Productivity at ACM/IEEE HiPC 2010