In the field of scientific computation, many users wish to use the sequential programming model, even though they aim to execute their program on a Distributed Memory Parallel Computer (DMPC). To meet this demand, some prototypes of compilers have been designed to "distribute" sequential programs onto DMPCs. In this paper, we present a static domain analysis which leads to the generation of efficient code for these machines. This analysis relies on the enumeration of the points of a polyhedron which is based on linear and integer programming
International audienceIncreasingly complex hardware makes the design of effective compilers difficul...
Recent advances in polyhedral compilation technology have made it feasible to automatically transfor...
Abstract. Automatic, model-based program transformation relies on the ability to generate code from ...
In the field of scientific computation, many users wish to use the sequential programming model, eve...
The polyhedron model has been used successfully for auto-matic parallelization of code regions with ...
The polytope model is one possible (mathematical) basis for par-allelizing sequential computer progr...
Supercompilers perform complex program transformations which often result in new loop bounds. This p...
The polyhedral model is known to be a powerful framework to reason about high level loop transformat...
Polyhedral compilation is widely used in high-level synthesis tools and in production compilers such...
An important problem in automatic parallelization of scientific programs is to generate loops from a...
Depuis plusieurs années, le nombre de cœurs de calcul dans les processeurs ne cesse d'augmenter à ch...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Com...
The polyhedral model provides techniques to optimize Static Control Programs (SCoP) using some compl...
Polyhedral compilation is widely used in high-level synthesis tools and in production compilers such...
Abstract In this paper, an approach to the problem of exploiting parallelism within nested loops is ...
International audienceIncreasingly complex hardware makes the design of effective compilers difficul...
Recent advances in polyhedral compilation technology have made it feasible to automatically transfor...
Abstract. Automatic, model-based program transformation relies on the ability to generate code from ...
In the field of scientific computation, many users wish to use the sequential programming model, eve...
The polyhedron model has been used successfully for auto-matic parallelization of code regions with ...
The polytope model is one possible (mathematical) basis for par-allelizing sequential computer progr...
Supercompilers perform complex program transformations which often result in new loop bounds. This p...
The polyhedral model is known to be a powerful framework to reason about high level loop transformat...
Polyhedral compilation is widely used in high-level synthesis tools and in production compilers such...
An important problem in automatic parallelization of scientific programs is to generate loops from a...
Depuis plusieurs années, le nombre de cœurs de calcul dans les processeurs ne cesse d'augmenter à ch...
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Com...
The polyhedral model provides techniques to optimize Static Control Programs (SCoP) using some compl...
Polyhedral compilation is widely used in high-level synthesis tools and in production compilers such...
Abstract In this paper, an approach to the problem of exploiting parallelism within nested loops is ...
International audienceIncreasingly complex hardware makes the design of effective compilers difficul...
Recent advances in polyhedral compilation technology have made it feasible to automatically transfor...
Abstract. Automatic, model-based program transformation relies on the ability to generate code from ...