Títol:
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Near-optimal loop tiling by means of cache miss equations and genetic algorithms
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Autor/a:
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Abella Ferrer, Jaume; González Colás, Antonio María; Llosa Espuny, José Francisco; Vera Rivera, Francisco Javier
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Altres autors:
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Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors; Universitat Politècnica de Catalunya. ARCO - Microarquitectura i Compiladors; Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions |
Abstract:
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The effectiveness of the memory hierarchy is critical for the performance of current processors. The performance of the memory hierarchy can be improved by means of program transformations such as loop tiling, which is a code transformation targeted to reduce capacity misses. This paper presents a novel systematic approach to perform near-optimal loop tiling based on an accurate data locality analysis (cache miss equations) and a powerful technique to search the solution space that is based on a genetic algorithm. The results show that this approach can remove practically all capacity misses for all considered benchmarks. The reduction of replacement misses results in a decrease of the miss ratio that can be as significant as a factor of 7 for the matrix multiply kernel. |
Abstract:
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Peer Reviewed |
Matèries:
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-Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors -Cache memory -Genetic algorithms -Performance evaluation -Storage management -Cache storage -Memòria ràpida de treball (Informàtica) -Algorismes genètics |
Drets:
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Tipus de document:
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Article - Versió publicada Objecte de conferència |
Publicat per:
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Institute of Electrical and Electronics Engineers (IEEE)
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