Introduction to the HPC Challenge Benchmark Suite - eScholarship
Introduction to the HPC Challenge Benchmark Suite - eScholarship
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HPC 挑战基准套件简介 - eScholarship
DOI:
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发表时间:
2005
期刊:
影响因子:
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通讯作者:
D. Takahashi
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作者:
P. Luszczek;J. Dongarra;D. Koester;R. Rabenseifner;Bob Lucas;J. Kepner;John D. McCalpin;D. Bailey;D. Takahashi
Introduction to the HPC Challenge Benchmark Suite Piotr Luszczek 1 , Jack J. Dongarra 1,2 , David Koester 3 , Rolf Rabenseifner 4,5 , Bob Lucas 6,7 , Jeremy Kepner 8 , John McCalpin 9 , David Bailey 10 , and Daisuke Takahashi 11 of Tennessee Knoxville Ridge National Laboratory 3 MITRE 4 High Performance Computing Center (HLRS) 5 University Stuttgart, www.hlrs.de/people/rabenseifner 6 Information Sciences Institute 7 University of Southern California 8 MIT Lincoln Lab 9 IBM Austin 10 Lawrence Berkeley National Laboratory 11 University of Tsukuba 2 Oak 1 University March 2005 and bandwidth/latency tests – b eff ) that attempt to span high and low spatial and temporal locality space. By de- 1 benchmark suite has been re- sign, the HPC Challenge tests are scalable with the size The HPC Challenge leased by the DARPA HPCS program to help define the of data sets being a function of the largest HPL matrix performance boundaries of future Petascale computing for the tested system. systems. HPC Challenge is a suite of tests that exam- ine the performance of HPC architectures using kernels with memory access patterns more challenging than 1 High Productivity Computing those of the High Performance Linpack ( HPL ) bench- Systems mark used in the Top500 list. Thus, the suite is designed to augment the Top500 list, providing benchmarks that The DARPA High Productivity Computing Sys- bound the performance of many real applications as tems (HPCS) [1] is focused on providing a new gener- a function of memory access characteristics e.g., spa- ation of economically viable high productivity comput- tial and temporal locality, and providing a framework ing systems for national security and for the industrial for including additional tests. In particular, the suite user community. HPCS program researchers have initi- is composed of several well known computational ker- ated a fundamental reassessment of how we define and nels ( STREAM , HPL , matrix multiply – DGEMM , paral- measure performance, programmability, portability, ro- lel matrix transpose – PTRANS , FFT , RandomAccess , bustness and ultimately, productivity in the High End 1 This work was supported in part by the DARPA, NSF, and Computing (HEC) domain. The HPCS program seeks to create trans-petaflops DOE through the DARPA HPCS program under grant FA8750-04- systems of significant value to the Government HPC Abstract