(eng) Bouclettes is a source to source loop nest parallelizer. It takes as input Fortran uniform, perfectly nested loops and gives as output an HPF (High Performance Fortran) program with data distribution and parallel ($HPF! INDEPENDENT) loops. This paper presents the tool and the underlying parallelization methodology.(fre) Bouclettes est un paralléliseur source à source de nids de boucles. Il prend en entrée des boucles Fortran uniformes et parfaitement imbriquées et retourne en sortie un programme HPF (High Performance Fortran) avec une distribution des données et des boucles parallèles ($HPF! INDEPENDENT). Ce papier présente l'outil et les méthodes employées
Parallel processing has been used to increase performance of computing systems for the past several ...
Fortran and C++ are the dominant programming languages used in scientific computation. Consequently,...
Loops represent the core of most applications in that they contain the bulk of the computations. An ...
Bouclettes is a source to source loop nest parallelizer. It takes as input Fortran uniform, perfectl...
(eng) Bouclettes is a source to source loop nest parallelizer. It takes as input Fortran uniform, pe...
Automatic parallelization is one of the approaches aimed at a better and easier use of parallel comp...
This documents presents the first version of the Bouclettes automatic parallelizer developed at LIP....
(eng) In the data parallel programming style the user usually specifies the data parallelism explici...
SIGLEAvailable at INIST (FR), Document Supply Service, under shelf-number : RP 13908 / INIST-CNRS - ...
In the data parallel programming style the user usually speci es the data parallelism explicitly so ...
Les algorithmes des systèmes temps réels incluent de plus en plus de nids de boucles, qui sont carac...
[[abstract]]The main function of parallelizing compilers is to analyze sequential programs, in parti...
Compilation of parallel loops is one of the most important parts in parallel compilation and optimiz...
Current parallelizing compilers cannot identify a significant fraction of parallelizable loops becau...
(eng) In this paper, we survey loop parallelization algorithms, analyzing the dependence representat...
Parallel processing has been used to increase performance of computing systems for the past several ...
Fortran and C++ are the dominant programming languages used in scientific computation. Consequently,...
Loops represent the core of most applications in that they contain the bulk of the computations. An ...
Bouclettes is a source to source loop nest parallelizer. It takes as input Fortran uniform, perfectl...
(eng) Bouclettes is a source to source loop nest parallelizer. It takes as input Fortran uniform, pe...
Automatic parallelization is one of the approaches aimed at a better and easier use of parallel comp...
This documents presents the first version of the Bouclettes automatic parallelizer developed at LIP....
(eng) In the data parallel programming style the user usually specifies the data parallelism explici...
SIGLEAvailable at INIST (FR), Document Supply Service, under shelf-number : RP 13908 / INIST-CNRS - ...
In the data parallel programming style the user usually speci es the data parallelism explicitly so ...
Les algorithmes des systèmes temps réels incluent de plus en plus de nids de boucles, qui sont carac...
[[abstract]]The main function of parallelizing compilers is to analyze sequential programs, in parti...
Compilation of parallel loops is one of the most important parts in parallel compilation and optimiz...
Current parallelizing compilers cannot identify a significant fraction of parallelizable loops becau...
(eng) In this paper, we survey loop parallelization algorithms, analyzing the dependence representat...
Parallel processing has been used to increase performance of computing systems for the past several ...
Fortran and C++ are the dominant programming languages used in scientific computation. Consequently,...
Loops represent the core of most applications in that they contain the bulk of the computations. An ...