AutoPar-Clava: An Automatic Parallelization source-to-source tool for C code applications

• Type: Article in International Conference Proceedings Book
• Date: 2018-01-23

Authors

Jorge G. Barbosa (Author) FEUP; Hamid Arabnejad (Author) FEUP; João Bispo (Author) FEUP; João M. P. Cardoso (Author) FEUP

Conference proceedings International

Title: PARMA-DITAM

Pages: 13-19

Indexing

ISI Web of Knowledge - 7 Citations

Scopus - 10 Citations

Other information

Authenticus ID: P-00N-WZ9

DOI: 10.1145/3183767.3183770

Abstract (EN): Automatic parallelization of sequential code has become increasingly relevant in multicore programming. In particular, loop parallelization continues to be a promising optimization technique for scienti.c applications, and can provide considerable speedups for program execution. Furthermore, if we can verify that there are no true data dependencies between loop iterations, they can be easily parallelized. This paper describes Clava AutoPar, a library for the Clava weaver that performs automatic and symbolic parallelization of C code. The library is composed of two main parts, parallel loop detection and source-to-source code parallelization. The system is entirely automatic and attempts to statically detect parallel loops for a given input program, without any user intervention or profiling information. We obtained a geometric mean speedup of 1.5 for a set of programs from the C version of the NAS benchmark, and experimental results suggest that the performance obtained with Clava AutoPar is comparable or better than other similar research and commercial tools.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 7