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High-Performance and Scalable Designs of Programming Models for Exascale Systems
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In this video from the 2016 HPC Advisory Council Switzerland Conference, DK Panda from Ohio State University presents: High-Performance and Scalable Designs of Programming Models for Exascale Systems.
"This talk will focus on challenges in designing runtime environments for Exascale systems with millions of processors and accelerators to support various programming models. We will focus on MPI, PGAS (OpenSHMEM, CAF, UPC and UPC++) and Hybrid MPI+PGAS programming models by taking into account support for multi-core, high-performance networks, accelerators
(GPGPUs and Intel MIC) and energy-awareness. Features and sample performance numbers from the MVAPICH2 libraries will be presented."
"This talk will focus on challenges in designing runtime environments for Exascale systems with millions of processors and accelerators to support various programming models. We will focus on MPI, PGAS (OpenSHMEM, CAF, UPC and UPC++) and Hybrid MPI+PGAS programming models by taking into account support for multi-core, high-performance networks, accelerators
(GPGPUs and Intel MIC) and energy-awareness. Features and sample performance numbers from the MVAPICH2 libraries will be presented."
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