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GTC ON-DEMAND

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Abstract:
With the recent release of OpenMP 5.0, OpenMP has reached a new milestone in support of performance-efficient programming of accelerators. New features better support underlying hardware and programmer intent to address distributed-memory devices and offloading to accelerators. 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. We'll discuss the major additions to OpenMP 5.0 for accelerator programming, provide a view of our plans for the specification, and explain how our plans are both shaped by and shape large-scale scientific applications.
With the recent release of OpenMP 5.0, OpenMP has reached a new milestone in support of performance-efficient programming of accelerators. New features better support underlying hardware and programmer intent to address distributed-memory devices and offloading to accelerators. 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. We'll discuss the major additions to OpenMP 5.0 for accelerator programming, provide a view of our plans for the specification, and explain how our plans are both shaped by and shape large-scale scientific applications.  Back
 
Topics:
Programming Languages, HPC and Supercomputing
Type:
Talk
Event:
GTC Silicon Valley
Year:
2019
Session ID:
S9353
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