GPU code optimization using abstract kernel emulation and sensitivity analysis

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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Veröffentlicht in:	SIGPLAN notices 2018-06, Vol.53 (4), p.736-751
Hauptverfasser:	Hong, Changwan, Sukumaran-Rajam, Aravind, Kim, Jinsung, Rawat, Prashant Singh, Krishnamoorthy, Sriram, Pouchet, Louis-Noël, Rastello, Fabrice, Sadayappan, P.
Format:	Artikel
Sprache:	eng
Schlagworte:	abstract emulation bottleneck analysis Computing methodologies GPU MATHEMATICS AND COMPUTING Model development and analysis Modeling and simulation Modeling methodologies Performance modeling sensitivity analysis
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