A mechanism for balancing accuracy and scope in cross-machine black-box GPU performance modeling

The ability to model, analyze, and predict execution time of computations is an important building block that supports numerous efforts, such as load balancing, benchmarking, job scheduling, developer-guided performance optimization, and the automation of performance tuning for high performance, par...

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Veröffentlicht in:	The international journal of high performance computing applications 2020-11, Vol.34 (6), p.589-614
Hauptverfasser:	Stevens, James D, Klöckner, Andreas
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Collection Coprocessors Finite difference method Galerkin method Hardware Kernels Mathematical analysis Mathematical models Matrix methods Model accuracy Multiplication Optimization Supercomputers
Online-Zugang:	Volltext
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