JAEGER, Julien; BARTHOU, Denis

Métadonnées

Licence d’utilisation du document

JAEGER, Julien
Parallélisme, Réseaux, Systèmes, Modélisation [PRISM]

BARTHOU, Denis
Efficient runtime systems for parallel architectures [RUNTIME]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]

Langue

Communication dans un congrès

Ce document a été publié dans

IEEE Proceedings of High Performance Computing conference, IEEE Proceedings of High Performance Computing conference, High Performance Computing conference, 2012-12-18. 2012-12-18p. 1-10

Résumé en anglais

Stencil based computation on structured grids is a kernel at the heart of a large number of scientific applications. The variety of stencil kernels used in practice make this computation pattern difficult to assemble into a high performance computing library. With the multiplication of cores on a single chip, answering architectural alignment requirements became an even more important key to high performance. In addition to vector accesses, data layout optimization must also consider concurrent parallel accesses. In this paper, we develop a strategy to automatically generate stencil codes for multicore vector architectures, searching for the best data layout possible to answer architectural alignment problems. We introduce a new method for aligning multidimensional data structures, called multipadding, that can be adapted to specificities of multicores and GPUs architectures. We present multiple methods with different level of complexity. We show on different stencil patterns that generated codes with multipadding display better performances than existing optimizations.< Réduire

URI

https://oskar-bordeaux.fr/handle/20.500.12278/197790

Project ANR

Vers le Petaflop pour LQCD - ANR-08-COSI-0010

Origine

Importé de hal

Unités de recherche

Laboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800