![]() ![]() The team see the HPCG “as a more relevant metric for ranking HPC systems than the High Performance LINPACK (HPL) benchmark that is currently used by the TOP500 benchmark.” According to the group’s website, the benchmark was designed “to exercise computational and data access patterns that more closely match a broad set of important applications, and to give incentive to computer system designers to invest in capabilities that will have impact on the collective performance of these applications.” ![]() Two years ago, at ISC 2013, Dongarra along with TOP500 co-editor Michael Heroux and Piotr Luszczek presented a new concept for ranking systems called the High Performance Conjugate Gradient (HPCG) benchmark. These are sparse matrix problems, but HPL only tests the resolution of dense linear systems. Jack Dongarra was candid in acknowledging that application sets have migrated since HPL was first implemented. A growing base of HPC applications are reliant on partial differential equations. Discussion over the relevance of the list kicked into high gear when the NCSA Blue Waters administrators opted out of the TOP500 in 2012, and since then there has been growing community support for alternative benchmarks that better represent real-world application performance. The debate centers on the continued utility of the High-Performance LINPACK (HPL) benchmark in an era of new architectures and different data access patterns. What we didn’t mention was what these trends say about the ability of the TOP500 LINPACK benchmark to keep pace with evolving system and application demands. LINPACK BENCHMARK APPLICATION DRIVERSWe went into the various drivers for this slowdown in the piece - the aftershocks of recession-era spending cuts, the limits of CMOS scaling, and slowed adoption cycles from sites seeking to minimize risk. What is becoming increasingly clear, as our analysis piece covered and as many in the community have also pointed out, is that the salad days of “better-than-Moore’s” performance growth hit an inflection point in 2008. The TOP500 organizers published their 45th twice-yearly list this week in tandem with ISC 2015 in Frankfurt, Germany. The program was originally written in Fortran 77 but has now been translated for use in several other programming languages.Since 1987 - Covering the Fastest Computers in the World and the People Who Run Them LINPACK BENCHMARK APPLICATION SOFTWAREIt restructures the original software for greater efficiency. LAPACK stands for linear algebra package. In some applications, LINPACK has been replaced by LAPACK. The performance of any single computer may vary from the published benchmark results for that model, because every computer is different. There is also a website called TOP500 that lists the systems that scored in the top 500 on the benchmarks. It lists the performance of many industry computer systems and can be found online. ![]() They are published in the LINPACK benchmark report, which is subtitled Performance of Various Computers Using Standard Linear Equations Software. Results of the LINPACK benchmark tests are reported in several ways. This measures the best possible performance of the computer given ideal conditions. Users can specify the problem size and software to be used. The Highly Parallel Computing Benchmark is different from the other two benchmarks. ![]()
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