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The Linpack benchmark, which was developed for testing computers of traditional architecture, should not be confused with High Performance Linpack benchmark. We also identify configurations that result in a relatively high mean throughput, but also result in a high throughput variability. The performance is only estimated for the main part of the algorithm that is, the calculations spent on the residual and norms are ignored. We show that specific configurations of the solver can be used to control for variability at a small sacrifice in mean throughput.
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In order to determine the effects of performance variance on computationally expensive numerical simulations, the High-Performance LINPACK solver is optimized by using multiobjective optimization to maximize the mean and minimize the standard deviation of the computational throughput on the High-Performance LINPACK benchmark. Intel provides optimized versions of the LINPACK benchmarks to help you obtain high LINPACK benchmark results on your genuine Intel processor systems more easily than with the High Performance Linpack (HPL) benchmark. ABSTRACT: The 'massively parallel' LINPACK benchmark is a familiar measure of high-performance computing performance and a useful check of the scalability of multi-processor computing systems.
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In an HPC setting, however, high-throughput configurations that do not account for performance variability could result in poor load balancing. High Performance Linpack (HPL) benchmarking of High Performance Clusters consisting of nodes with both CPUs and GPUs is still a challenging task and. LINPACK Benchmark Optimizations on a Virtual Processor Grid Edward Anderson, Maynard Brandt and Chao Yang, Cray Inc. When configuring system- and application-level parameters, engineers traditionally seek configurations that will maximize the mean computational throughput. The algorithm used by HPL, enhanced by a set of tuning options, is more effective than that found in the ScaLAPACK library. Variability in the execution time of computing tasks can cause load imbalance in high-performance computing (HPC) systems. This paper describes our effort to enhance the performance of the AORSA fusion energy simulation program through the use of high-performance LINPACK (HPL) benchmark, commonly used in ranking the top 500 supercomputers.