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| author | mperes <mperes@web> | 2014-10-10 05:55:31 -0700 |
|---|---|---|
| committer | xorg <iki-xorg@freedesktop.org> | 2014-10-10 05:55:31 -0700 |
| commit | 861ff8e57d6fc6f2a7ae18d95a2cad6e7e7f11ae (patch) | |
| tree | 692afeee79e03a0ae58fdbb121dbf1ded89ae5e9 /Events/XDC2014/XDC2014PitoisetOpenCLSimulation.mdwn | |
| parent | 0f46ab67da6348c5f9204ba0f691549fbd592f51 (diff) | |
Diffstat (limited to 'Events/XDC2014/XDC2014PitoisetOpenCLSimulation.mdwn')
| -rw-r--r-- | Events/XDC2014/XDC2014PitoisetOpenCLSimulation.mdwn | 2 |
1 files changed, 2 insertions, 0 deletions
diff --git a/Events/XDC2014/XDC2014PitoisetOpenCLSimulation.mdwn b/Events/XDC2014/XDC2014PitoisetOpenCLSimulation.mdwn index 18617a52..b45f63ad 100644 --- a/Events/XDC2014/XDC2014PitoisetOpenCLSimulation.mdwn +++ b/Events/XDC2014/XDC2014PitoisetOpenCLSimulation.mdwn @@ -1,3 +1,5 @@ # Samuel Pitoiset - HPC: An OpenCL simulation of molecular dynamics on heterogeneous architectures A molecular dynamics (MD) simulation involves computing the evolution of a system of particles in time. It is mainly used in physics where applications need to track several millions of particles. Due to the compute-intensive nature of MD simulations, researchers tend to use highly parallel computing architectures and accelerators (e.g. NVIDIA GPU & Intel Xeon Phi). In this presentation, I attempt to showcase an efficient OpenCL simulation of short-range particle interactions on heterogeneous architectures. This multi-accelerators approach aims to distribute the workload among the devices and to overlap data transfer and code execution in order to reduce the latency. + +[[Slides|talk-hpc.pdf]] |