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GTC ON-DEMAND

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Abstract:
OpenMP has come a long way in its first 20 years, but the last few have brought by far the most change. With accelerated computing on the rise, OpenMP integrated features to address distributed memory devices and offloading to accelerators. Now, as we prepare for the next generation of supercomputers and GPUs, OpenMP is growing to meet the challenges of productively programming scientific applications in a world of accelerators, unified memory, and explicitly hierarchical memories. This talk will discuss the present and future of OpenMP as we ramp up to version 5.0, presenting some of the new features incorporated so far and how they are shaped by and in turn how they shape large scale scientific applications.
OpenMP has come a long way in its first 20 years, but the last few have brought by far the most change. With accelerated computing on the rise, OpenMP integrated features to address distributed memory devices and offloading to accelerators. Now, as we prepare for the next generation of supercomputers and GPUs, OpenMP is growing to meet the challenges of productively programming scientific applications in a world of accelerators, unified memory, and explicitly hierarchical memories. This talk will discuss the present and future of OpenMP as we ramp up to version 5.0, presenting some of the new features incorporated so far and how they are shaped by and in turn how they shape large scale scientific applications.  Back
 
Topics:
Programming Languages, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2018
Session ID:
S8580
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Abstract:

Lawrence Livermore National Laboratory (LLNL) has a long history of leadership in large-scale computing. Our next platform, Sierra, a heterogeneous system that will be sited as part of a Collaboration between Oak Ridge, Argonne and Lawrence Livermore National Laboratories (CORAL) and delivered through a partnership with IBM, NVIDIA and Mellanox, will continue that tradition. That partnership has reached a key milestone that has begun the siting of Sierra as well as the Summit System at ORNL. This talk will provide a detailed look at the design of Sierra. It will compare and contrast Sierra to Summit, explaining the motivation for the design choices of each system. It will also preview some early uses of Sierra that target its technical opportunities and the challenges that accompany them.

Lawrence Livermore National Laboratory (LLNL) has a long history of leadership in large-scale computing. Our next platform, Sierra, a heterogeneous system that will be sited as part of a Collaboration between Oak Ridge, Argonne and Lawrence Livermore National Laboratories (CORAL) and delivered through a partnership with IBM, NVIDIA and Mellanox, will continue that tradition. That partnership has reached a key milestone that has begun the siting of Sierra as well as the Summit System at ORNL. This talk will provide a detailed look at the design of Sierra. It will compare and contrast Sierra to Summit, explaining the motivation for the design choices of each system. It will also preview some early uses of Sierra that target its technical opportunities and the challenges that accompany them.

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Topics:
HPC and Supercomputing
Type:
Talk
Event:
SIGGRAPH
Year:
2017
Session ID:
SC1709
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