International audienceIn this work, we investigate the global memory access mech- anism on recent GPUs. For the purpose of this study, we created spe- cific benchmark programs, which allowed us to explore the scheduling of global memory transactions. Thus, we formulate a model capable of estimating the execution time for a large class of applications. Our main goal is to facilitate optimisation of regular data-parallel applications on GPUs. As an example, we finally describe our CUDA implementations of LBM flow solvers on which our model was able to estimate performance with less than 5% relative error
AbstractGraphics Processing Units (GPUs), originally developed for computer games, now provide compu...
With computer simulations real world phenomena can be analyzed in great detail. Computational fluid ...
The Unified Parallel C (UPC) language from the Partitioned Global Address Space (PGAS) family unifie...
International audienceIn this work, we investigate the global memory access mechanism on recent GPUs...
International audienceEmerging many-core processors, like CUDA capable nVidia GPUs, are promising pl...
AbstractEmerging many-core processors, like CUDA capable nVidia GPUs, are promising platforms for re...
National audienceThe popularization of graphic processing units (GPUs) has led to their extensive us...
The Lattice Boltzmann method (LBM) for solving fluid flow is naturally well suited to an efficient i...
Today, we are living a growing demand of larger and more efficient computational resources from the ...
Lattice Boltzmann Method (LBM) is a powerful numerical simulation method of the fluid flow. With its...
International audienceThe lattice Boltzmann method (LBM) is an innovative and promising approach in ...
During the past two decades, the lattice Boltzmann method (LBM) has been increasingly acknowledged a...
Many-core processors, such as graphic processing units (GPUs), are promising platforms for intrinsic...
The scientific community in its never-ending road of larger and more efficient computational resourc...
Several efforts have been performed to improve LBM defects related to its computational performance....
AbstractGraphics Processing Units (GPUs), originally developed for computer games, now provide compu...
With computer simulations real world phenomena can be analyzed in great detail. Computational fluid ...
The Unified Parallel C (UPC) language from the Partitioned Global Address Space (PGAS) family unifie...
International audienceIn this work, we investigate the global memory access mechanism on recent GPUs...
International audienceEmerging many-core processors, like CUDA capable nVidia GPUs, are promising pl...
AbstractEmerging many-core processors, like CUDA capable nVidia GPUs, are promising platforms for re...
National audienceThe popularization of graphic processing units (GPUs) has led to their extensive us...
The Lattice Boltzmann method (LBM) for solving fluid flow is naturally well suited to an efficient i...
Today, we are living a growing demand of larger and more efficient computational resources from the ...
Lattice Boltzmann Method (LBM) is a powerful numerical simulation method of the fluid flow. With its...
International audienceThe lattice Boltzmann method (LBM) is an innovative and promising approach in ...
During the past two decades, the lattice Boltzmann method (LBM) has been increasingly acknowledged a...
Many-core processors, such as graphic processing units (GPUs), are promising platforms for intrinsic...
The scientific community in its never-ending road of larger and more efficient computational resourc...
Several efforts have been performed to improve LBM defects related to its computational performance....
AbstractGraphics Processing Units (GPUs), originally developed for computer games, now provide compu...
With computer simulations real world phenomena can be analyzed in great detail. Computational fluid ...
The Unified Parallel C (UPC) language from the Partitioned Global Address Space (PGAS) family unifie...