Storage-Heterogeneity Aware Task-based Programming Models to Optimize I/O Intensive Applications

Task-based programming models have enabled the optimized execution of the computation workloads of applications. These programming models can take advantage of large-scale distributed infrastructures by allowing the parallel and distributed execution of applications in high-level work components cal...

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Veröffentlicht in:	IEEE transactions on parallel and distributed systems 2022-12, Vol.33 (12), p.3589-3599
Hauptverfasser:	Elshazly, Hatem, Ejarque, Jorge, Badia, Rosa M.
Format:	Artikel
Sprache:	eng
Schlagworte:	automatic data movement Bandwidth Big Data checkpointing Computational modeling Heterogeneity heterogeneity abstraction Heterogeneous storage systems I/O intensive applications I/O scheduling Optimization Performance evaluation Programming Proposals Random access memory resource pooling Storage systems Task analysis task scheduling task-based programming models
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