A visual performance analysis framework for task‐based parallel applications running on hybrid clusters

Summary Programming paradigms in High‐Performance Computing have been shifting toward task‐based models that are capable of adapting readily to heterogeneous and scalable supercomputers. The performance of task‐based application heavily depends on the runtime scheduling heuristics and on its ability...

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Veröffentlicht in:	Concurrency and computation Jg. 30; H. 18; S. 1 - n/a
Hauptverfasser:	Garcia Pinto, Vinícius, Mello Schnorr, Lucas, Stanisic, Luka, Legrand, Arnaud, Thibault, Samuel, Danjean, Vincent
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Hoboken Wiley Subscription Services, Inc 25.09.2018 Wiley
Schlagworte:	Cholesky Cholesky factorization Computation Computer Science Distributed, Parallel, and Cluster Computing heterogeneous platforms high‐performance computing Lower bounds Modeling and Simulation Pipelining (computers) Run time (computers) Supercomputers Task scheduling task‐based applications trace visualization High-Performance Computing Heterogeneous platforms Cholesky Task-based applications Trace Visualization
ISSN:	1532-0626, 1532-0634
Online-Zugang:	Volltext
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