The goal of the Pandore system is to allow the execution of parallel algorithms on DMPC (Distributed Memory Parallel Computers) without having to take into account the low-level characteristics of the target distributed computer to program the algorithm. No explicit process definition and interprocess communications are needed. Parallelization is achieved through logical data organization. The Pandore system provides the user with a mean to specify data partitionning and data distribution over a domain of virtual processors for each parallel step of his algorithm. At compile time, Pandore splits the original program into parallel processes which will execute the same code over the different parts of the data, according to the given decompos...
Invited paper. Extended version published in the Parallel Processing Letters, URL: http://hal.inria....
Massively Parallel Processor systems provide the required computational power to solve most large sc...
Distributed-memory multiprocessing systems (DMS), such as Intel’s hypercubes, the Paragon, Thinking ...
The goal of the Pandore system is to allow the execution of parallel algorithms on DMPC (Distributed...
Parallelization of programs for distributed memory parallel computers is always difficult because of...
International audienceThis paper presents an environment for programming distributed memory computer...
International audienceIn this paper, we present the overall design of Pandore II, an Environment ded...
International audienceThe paper presents the parallelization process of a wave propagation applicati...
This paper presents an environment for programming distributed memory computers using HPF-like data ...
The difficulty of programming distributed memory parallel architectures is an impediment to the expl...
IRISA - Publication interne no 651, 10 p., mars 1992SIGLEAvailable at INIST (FR), Document Supply Se...
Projet PARADISDe nombreux algorithmes paralleles pour les parcours de graphes d'etats de la famille ...
We present algorithms for the transportation of data in parallel and distributed systems that would ...
International audienceIn this paper, the problem of evaluating the performance of parallel programs ...
Invited paper. Extended version published in the Parallel Processing Letters, URL: http://hal.inria....
Massively Parallel Processor systems provide the required computational power to solve most large sc...
Distributed-memory multiprocessing systems (DMS), such as Intel’s hypercubes, the Paragon, Thinking ...
The goal of the Pandore system is to allow the execution of parallel algorithms on DMPC (Distributed...
Parallelization of programs for distributed memory parallel computers is always difficult because of...
International audienceThis paper presents an environment for programming distributed memory computer...
International audienceIn this paper, we present the overall design of Pandore II, an Environment ded...
International audienceThe paper presents the parallelization process of a wave propagation applicati...
This paper presents an environment for programming distributed memory computers using HPF-like data ...
The difficulty of programming distributed memory parallel architectures is an impediment to the expl...
IRISA - Publication interne no 651, 10 p., mars 1992SIGLEAvailable at INIST (FR), Document Supply Se...
Projet PARADISDe nombreux algorithmes paralleles pour les parcours de graphes d'etats de la famille ...
We present algorithms for the transportation of data in parallel and distributed systems that would ...
International audienceIn this paper, the problem of evaluating the performance of parallel programs ...
Invited paper. Extended version published in the Parallel Processing Letters, URL: http://hal.inria....
Massively Parallel Processor systems provide the required computational power to solve most large sc...
Distributed-memory multiprocessing systems (DMS), such as Intel’s hypercubes, the Paragon, Thinking ...