A proposal for autotuning linear algebra routines on multicore platforms | Zendy

Javier Cuenca | Zendy; Luis Pedro García | Zendy; Domingo Giménez | Zendy

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A proposal for autotuning linear algebra routines on multicore platforms

Author(s) -

Javier Cuenca,

Luis Pedro García,

Domingo Giménez

Publication year - 2010

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2010.04.055

Subject(s) - compiler , computer science , parallel computing , multi core processor , programming language , linear algebra , code (set theory) , optimizing compiler , mathematics , geometry , set (abstract data type)

The use of an OpenMP compiler optimized for the corresponding multicore system is a good option, but it is possible in a system to have access to more than one compiler and different compilers can appropriately optimize different parts of the code. In this paper we present a proposal for an autotuning system for linear algebra routines that decides the best compiler for each situation, as well as other parameter values, as, for example, the number of threads to generate

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