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GPU code optimization using abstract kernel emulation and sensitivity analysis

Published • Jun 11, 2018
NobleIDNI7P06W60R05S27
Authors:
Changwan Hong
,
Aravind Sukumaran-Rajam
,
Jinsung Kim

Abstract

In this paper, we develop an approach to GPU kernel optimization by focusing on identification of bottleneck resources and determining optimization parameters that can alleviate the bottleneck. Performance modeling for GPUs is done by abstract kernel emulation along with latency/gap modeling of reso...

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