Achieving Computation-Communication Overlap with Overdecomposition on GPU Systems

The landscape of high performance computing is shifting towards a collection of multi-GPU nodes, widening the gap between on-node compute and off-node communication capabilities. Consequently, the ability to tolerate communication latencies and maximize utilization of the compute hardware are becomi...

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Veröffentlicht in:	2020 IEEE/ACM Fifth International Workshop on Extreme Scale Programming Models and Middleware (ESPM2) S. 1 - 10
Hauptverfasser:	Choi, Jaemin, Richards, David F., Kale, Laxmikant V.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.11.2020
Schlagworte:	application program interfaces asynchronous task-based runtime Charm++ parallel programming system communication latencies computation-communication overlap compute hardware computer graphic equipment coprocessors Delays GPU computing graphics processing units Hardware high performance computing Jacobian matrices Kernel message passing modern GPU systems multiGPU nodes off-node communication capabilities on-node compute overde-composition overdecomposition parallel architectures parallel processing parallel programming Runtime Task analysis traditional CPU-based systems
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