Specx: a C++ task-based runtime system for heterogeneous distributed architectures

Parallelization is needed everywhere, from laptops and mobile phones to supercomputers. Among parallel programming models, task-based programming has demonstrated a powerful potential and is widely used in high-performance scientific computing. Not only does it allow efficient parallelization across...

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Veröffentlicht in:	PeerJ. Computer science Jg. 11; S. e2966
Hauptverfasser:	Cardosi, Paul, Bramas, Bérenger
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States PeerJ. Ltd 11.07.2025 PeerJ PeerJ Inc
Schlagworte:	Algorithms C++ Computer Science CUDA Distributed processing (Computers) Hip Methods Runtime system Scheduling Scheduling (Management) Task-based France CUDA Runtime system C++ Scheduling Task-based Hip scheduler mpi parallelization gpu runtime system task-based
ISSN:	2376-5992, 2376-5992
Online-Zugang:	Volltext
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