Source-to-source compilation targeting OpenMP-based automatic parallelization of C applications

• Tipo: Artigo em Revista Científica Internacional
• Data: 2020

Autores

Hamid Arabnejad (Autor) Outra; João Bispo (Autor) FEUP; João M. P. Cardoso (Autor) FEUP; Jorge Manuel Gomes Barbosa (Autor) FEUP

Revista

Título: Journal of Supercomputing

Vol. 76

Páginas: 6753-6785

ISSN: 0920-8542

Editora: Springer Nature

Indexação

ISI Web of Knowledge - 7 Citações

Scopus - 11 Citações

Outras Informações

ID Authenticus: P-00R-GXR

DOI: 10.1007/s11227-019-03109-9

Abstract (EN): Directive-driven programming models, such as OpenMP, are one solution for exploring the potential parallelism when targeting multicore architectures. Although these approaches significantly help developers, code parallelization is still a non-trivial and time-consuming process, requiring parallel programming skills. Thus, many efforts have been made toward automatic parallelization of the existing sequential code. This article presents AutoPar-Clava, an OpenMP-based automatic parallelization compiler which: (1) statically detects parallelizable loops in C applications; (2) classifies variables used inside the target loop based on their access pattern; (3) supportsreductionclauses on scalar and array variables whenever it is applicable; and (4) generates a C OpenMP parallel code from the input sequential version. The effectiveness of AutoPar-Clava is evaluated by using the NAS and Polyhedral Benchmark suites and targeting a x86-based computing platform. The achieved results are very promising and compare favorably with closely related auto-parallelization compilers, such as Intel C/C++ Compiler (icc), ROSE, TRACO and CETUS.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 33