Abstract. To benefit from distributed architectures, many applications need a coarse grain paral-lelisation of their programs. In order to help a non-expert parallel programmer to take advantage of this possibility, we have carried out a tool called STEP (Système de Transformation pour l’Exécution Parallèle). From a code decorated with OpenMP directives, this source-to-source transformation tool produces another code based on the message-passing programming model automatically. Thus, the programs of the legacy application can easily and reliably evolve without the burden of re-structuring the code so as to insert calls to message passing API primitives. This tool deals with difficulties inherent in coarse grain parallelisation such as in...
OpenMP has been very successful in exploiting structured parallelism in applications. With increasin...
In this paper we describe the main components of the NanosCompiler, an OpenMP compiler whose impleme...
The concept of a shared address space simplifies the parallelization of programs by using shared dat...
Abstract — Parallelization is an important technique to increase the performance of software program...
OpenMP has established itself as the de facto standard for parallel programming on shared-memory pla...
OpenMP was recently proposed by a group of vendors as a programming model for shared memory parallel...
OpenMP has emerged as an important model and language extension for shared-memory parallel programmi...
Cluster platforms with distributed-memory architectures are becoming increasingly available low-cost...
We present our effort to provide a comprehensive parallel programming environment for the OpenMP par...
With the increasing prevalence of multicore processors, shared-memory programming models are essenti...
Abstract—OpenMP has been very successful in exploiting structured parallelism in applications. With ...
OpenMP is an Application Programming Interface (API) widely accepted as a standard for high-level sh...
Abstract. This paper presents a source-to-source translation strategy from OpenMP to Global Arrays i...
Abstract. Multiprocessor architectures comprising various memory organizations and communi-cation sc...
OpenMP is attracting wide-spread interest because of its easy-to-use parallel programming model for ...
OpenMP has been very successful in exploiting structured parallelism in applications. With increasin...
In this paper we describe the main components of the NanosCompiler, an OpenMP compiler whose impleme...
The concept of a shared address space simplifies the parallelization of programs by using shared dat...
Abstract — Parallelization is an important technique to increase the performance of software program...
OpenMP has established itself as the de facto standard for parallel programming on shared-memory pla...
OpenMP was recently proposed by a group of vendors as a programming model for shared memory parallel...
OpenMP has emerged as an important model and language extension for shared-memory parallel programmi...
Cluster platforms with distributed-memory architectures are becoming increasingly available low-cost...
We present our effort to provide a comprehensive parallel programming environment for the OpenMP par...
With the increasing prevalence of multicore processors, shared-memory programming models are essenti...
Abstract—OpenMP has been very successful in exploiting structured parallelism in applications. With ...
OpenMP is an Application Programming Interface (API) widely accepted as a standard for high-level sh...
Abstract. This paper presents a source-to-source translation strategy from OpenMP to Global Arrays i...
Abstract. Multiprocessor architectures comprising various memory organizations and communi-cation sc...
OpenMP is attracting wide-spread interest because of its easy-to-use parallel programming model for ...
OpenMP has been very successful in exploiting structured parallelism in applications. With increasin...
In this paper we describe the main components of the NanosCompiler, an OpenMP compiler whose impleme...
The concept of a shared address space simplifies the parallelization of programs by using shared dat...