Running OpenACC Programs on NVIDIA & AMD GPUs
Date - Thursday December 12, 2013
Time - 2:00 PM ET / 11:00 AM PT / 18:00 GMT (Duration: 1 hour)
Mainstream supercomputers and clusters commonly use a 64-bit x86 host processor. They now often include one or...
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Running OpenACC Programs on NVIDIA & AMD GPUs
Date - Thursday December 12, 2013
Time - 2:00 PM ET / 11:00 AM PT / 18:00 GMT (Duration: 1 hour)
Mainstream supercomputers and clusters commonly use a 64-bit x86 host processor. They now often include one or more
accelerators per node. The most common accelerators today are GPUs. These compute accelerators exploit a high degree of
parallelism in an application or algorithm to maximize performance and power efficiency. There are several challenges to effective
and productive use of accelerators. These include managing data placement and movement, and expressing parallelism in a form
that can be mapped efficiently onto the target hardware. Another challenge, and our focus in this presentation, is designing
algorithms and data structures that are of benefit not only for the accelerators of today, but on future accelerator-based systems as
well, without significant re-design or re-tuning.
We describe the latest features of current and near-futu
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