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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