Future computing platforms will be distributed and heterogeneous. Such platforms range from heterogeneous networks of workstations (NOWs) to collections of NOWs and parallel servers scattered throughout the world and linked through high-speed networks. Implementing tightlycoupled algorithms on such platforms raises several challenging issues. New data distribution and load balancing strategies are required to squeeze the most out of heterogeneous platforms. In this paper, we rst summarize previous results obtained for heterogeneous NOWs, dealing with t..
Distributed computing environments are nowadays composed of many heterogeneous computers able to wor...
SIGLEAvailable from INIST (FR), Document Supply Service, under shelf-number : RP 15439 / INIST-CNRS ...
The paper overviews the state of the art in design and implementation of data parallel scientific ap...
International audienceFuture computing platforms will be distributed and heterogeneous. Such platfor...
(eng) Future computing platforms will be distributed and heterogeneous. Such platforms range from he...
International audienceIn this paper, we deal with algorithmic issues on heterogeneous platforms. We ...
Heterogeneous platforms are mixes of different processing units in a compute node (e.g., CPUs+GPUs, ...
this paper, we discuss critical design and implementation issues in heterogeneous concurrent computi...
(eng) We discuss algorithms and tools to help program and use metacomputing resources in the forthco...
Abstract — In a heterogeneous distributed platforms large problem is distribute among the processors...
Parallel computing is increasingly exposed to the development and challengesof distributed systems, ...
The current state and foreseeable future of high performance scientific computing (HPC) can be descr...
High performance computing in heterogeneous environments is a dynamically developing area. A number ...
Anytime you work with oranges and apples, you’ll need a number of schemes to organize total performa...
This system presents an idea of distributing the tasks different processor to balance load in the fi...
Distributed computing environments are nowadays composed of many heterogeneous computers able to wor...
SIGLEAvailable from INIST (FR), Document Supply Service, under shelf-number : RP 15439 / INIST-CNRS ...
The paper overviews the state of the art in design and implementation of data parallel scientific ap...
International audienceFuture computing platforms will be distributed and heterogeneous. Such platfor...
(eng) Future computing platforms will be distributed and heterogeneous. Such platforms range from he...
International audienceIn this paper, we deal with algorithmic issues on heterogeneous platforms. We ...
Heterogeneous platforms are mixes of different processing units in a compute node (e.g., CPUs+GPUs, ...
this paper, we discuss critical design and implementation issues in heterogeneous concurrent computi...
(eng) We discuss algorithms and tools to help program and use metacomputing resources in the forthco...
Abstract — In a heterogeneous distributed platforms large problem is distribute among the processors...
Parallel computing is increasingly exposed to the development and challengesof distributed systems, ...
The current state and foreseeable future of high performance scientific computing (HPC) can be descr...
High performance computing in heterogeneous environments is a dynamically developing area. A number ...
Anytime you work with oranges and apples, you’ll need a number of schemes to organize total performa...
This system presents an idea of distributing the tasks different processor to balance load in the fi...
Distributed computing environments are nowadays composed of many heterogeneous computers able to wor...
SIGLEAvailable from INIST (FR), Document Supply Service, under shelf-number : RP 15439 / INIST-CNRS ...
The paper overviews the state of the art in design and implementation of data parallel scientific ap...