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Download Linpack and enjoy it on your iPhone, iPad, and iPod touch. Driven by multigrid preconditioned conjugate gradient algorithm that exercises the key kernels on a nested set of coarse grids. Read reviews, compare customer ratings, see screenshots, and learn more about Linpack.
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The benchmark works by creating two matrices of random numbers of a given size. The Matrix Multiplication benchmark involves taking two matrices of the same size and multiplying them. Sparse triangular solve (as part of the Gauss-Seidel smoother). Rigoberto performed two major tests on his cluster, a Matrix Multiplication and an HPL (High-Performance LINPACK) benchmark.
What does linpack benchmark test code#
HPCG is a complete, stand-alone code that measures the performance of basic operations in a unified code: But its also a very useful tool for checking the stability of a CPU. In case you dont, its a benchmark designed to measure performance on Intel CPUs in GFlops. HPCG is designed to exercise computational and data access patterns that more closely match a different and 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. Most of you know what Linpack is I guess. The computational and data access patterns of HPL are still representative of some important scalable applications, but not all. HPCG is intended as a complement to the High Performance LINPACK (HPL) benchmark, currently used to rank the TOP500 computing systems. The High Performance Conjugate Gradients (HPCG) Benchmark project is an effort to create a new metric for ranking HPC systems.