ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales

ABSTRACT As we enter the exascale computing era, efficiently utilizing power and optimizing the performance of scientific applications under power and energy constraints has become critical and challenging. We propose a low‐overhead autotuning framework to autotune performance and energy for various...

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Veröffentlicht in:	Concurrency and computation 2024-10, Vol.37 (1), p.n/a
Hauptverfasser:	Wu, Xingfu, Balaprakash, Prasanna, Kruse, Michael, Koo, Jaehoon, Videau, Brice, Hovland, Paul, Taylor, Valerie, Geltz, Brad, Jana, Siddhartha, Hall, Mary
Format:	Artikel
Sprache:	eng
Schlagworte:	autotuning Bayesian optimization Configuration management Energy energy efficiency hybrid MPI/OpenMP applications Optimization Parameter identification performance optimization Research facilities
Online-Zugang:	Volltext
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