A Benchmark-based Performance Model for Memory-bound HPC ApplicationsReport as inadecuate

A Benchmark-based Performance Model for Memory-bound HPC Applications - Download this document for free, or read online. Document in PDF available to download.

1 RUNTIME - Efficient runtime systems for parallel architectures Inria Bordeaux - Sud-Ouest, UB - Université de Bordeaux, CNRS - Centre National de la Recherche Scientifique : UMR5800 2 LaBRI - Laboratoire Bordelais de Recherche en Informatique

Abstract : The increasing computation capability of servers comes with a dramatic increase of their complexity through many cores, multiple levels of caches and NUMA architectures. Exploiting the computing power is increasingly harder and programmers need ways to understand the performance behavior. We present an innovative approach for predicting the performance of memory-bound multi-threaded applications. It relies on micro-benchmarks and a compositional model, combining measures of micro-benchmarks in order to model larger codes. Our memory model takes into account cache sizes and cache coherence protocols, having a large impact on performance of multi-threaded codes. Applying this model to real world HPC kernels shows that it can predict their performance with good accuracy, helping taking optimization decisions to increase application-s performance.

Keywords : multicore memory model timing prediction micro-benchmarks caches multicore.

Author: Bertrand Putigny - Brice Goglin - Denis Barthou -

Source: https://hal.archives-ouvertes.fr/


Related documents