Towards an Optimized Heterogeneous Distributed Task Scheduler in OpenMP Cluster

This paper addresses the challenges of optimizing task scheduling for a distributed, task-based execution model in OpenMP for cluster computing environments. Traditional OpenMP implementations are primarily designed for shared-memory parallelism and offer limited control over task scheduling. Howeve...

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Vydané v:	SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis s. 1894 - 1903
Hlavní autori:	Neveu, Remy, Ceccato, Rodrigo, Leite, Gustavo, Araujo, Guido, Diaz, Jose M. Monsalve, Yviquel, Herve
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 17.11.2024
Predmet:	Cluster computing Distributed architectures Dynamic scheduling Iterative methods Large-scale systems Optimal scheduling Parallel processing Parallel programming Parallel systems Resource management Runtime Scheduling algorithms Scheduling and task partitioning
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