Add to ORKGInternational audienceWe present an experimental comparison between a synchronous and an asynchronous version of a same PDE solver on a GPU-cluster. In the context of our experiments, the GPU-cluster can be heterogeneous (different CPUs and GPUs). The comparison is done both on performance and energetic aspects
As computing systems continue to increase in complexity, energy optimization plays a key role in the...
Coupling commodity CPUs and modern GPUs give you heterogeneous systems that are cheap, high-performa...
International audienceThis book chapter proposes to draw several development methodologies to obtain...
International audienceWe present an experimental comparison between a synchronous and an asynchronou...
International audienceWe study the impact of asynchronism on parallel iterative algorithms in the pa...
International audienceWe study the impact of asynchronism on parallel iterative algorithms in the pa...
This thesis spans several research areas, where the main topics being parallel programming based on ...
Presentation given at 2nd JTE "GPGPU", University Paris-6, 4 décembre 2008, Paris, France.The aim of...
International audiencePower consumption and energy efficiency are becoming critical aspects in the d...
Abstract—The use of GPU clusters for scientific applications in areas such as physics, chemistry and...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
<p>Clustering can be considered the most important unsupervised learning<br>technique. Clustering is...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
As computing systems continue to increase in complexity, energy optimization plays a key role in the...
Coupling commodity CPUs and modern GPUs give you heterogeneous systems that are cheap, high-performa...
International audienceThis book chapter proposes to draw several development methodologies to obtain...
International audienceWe present an experimental comparison between a synchronous and an asynchronou...
International audienceWe study the impact of asynchronism on parallel iterative algorithms in the pa...
International audienceWe study the impact of asynchronism on parallel iterative algorithms in the pa...
This thesis spans several research areas, where the main topics being parallel programming based on ...
Presentation given at 2nd JTE "GPGPU", University Paris-6, 4 décembre 2008, Paris, France.The aim of...
International audiencePower consumption and energy efficiency are becoming critical aspects in the d...
Abstract—The use of GPU clusters for scientific applications in areas such as physics, chemistry and...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
<p>Clustering can be considered the most important unsupervised learning<br>technique. Clustering is...
Multiple independent runs of an evolutionary algorithm in parallel are often used to increase the ef...
As computing systems continue to increase in complexity, energy optimization plays a key role in the...
Coupling commodity CPUs and modern GPUs give you heterogeneous systems that are cheap, high-performa...
International audienceThis book chapter proposes to draw several development methodologies to obtain...