Predictive performance and scalability modeling of a large-scale application
作者： D. J. Kerbyson , H. J. Alme , A. Hoisie , F. Petrini , H. J. Wasserman
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摘要: In this work we present a predictive analytical model that encompasses the performance and scaling characteristics of an important ASCI application. SAGE (SAIC's Adaptive Grid Eulerian hydrocode) is multidimensional hydrodynamics code with adaptive mesh refinement. The validated against measurements on several systems including Blue Mountain, White, Compaq Alphaserver ES45 system showing high accuracy. It parametric --- basic machine numbers (latency, MFLOPS rate, bandwidth) application (problem size, decomposition method, etc.) serve as input. applied to add insight into current systems, reveal bottlenecks, illustrate where tuning efforts can be effective. We also use predict future systems.
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