Performance Measurements Within Asynchronous Task-Based Runtime Systems: A Double White Dwarf Merger as an Application

Analyzing performance within asynchronous many-task-based runtime systems is challenging because millions of tasks are launched concurrently. Especially for long-term runs, the amount of data collected becomes overwhelming. We study HPX and its performance-counter framework and autonomic performance...

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Veröffentlicht in:	Computing in science & engineering 2021-05, Vol.23 (3), p.73-81
Hauptverfasser:	Diehl, Patrick, Marcello, Dominic, Amini, Parsa, Kaiser, Hartmut, Shiber, Sagiv, Clayton, Geoffrey C., Frank, Juhan, Dais, Gregor, Pfluger, Dirk, Eder, David, Koniges, Alice, Huck, Kevin
Format:	Artikel
Sprache:	eng
Schlagworte:	Astrophysics Computational modeling Corporate acquisitions Data models Data visualization Energy consumption Extraterrestrial measurements Grid refinement (mathematics) Optical communication Physical properties Runtime Task analysis White dwarf stars
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