Load balancing in a heterogeneous world: CPU-Xeon Phi co-execution of data-parallel kernels

Heterogeneous systems composed by a CPU and a set of different hardware accelerators are very compelling thanks to their excellent performance and energy consumption features. One of the most important problems of those systems is the workload distribution among their devices. This paper describes a...

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Veröffentlicht in:	The Journal of supercomputing 2019-03, Vol.75 (3), p.1123-1136
Hauptverfasser:	Nozal, Raúl, Perez, Borja, Bosque, Jose Luis, Beivide, Ramón
Format:	Artikel
Sprache:	eng
Schlagworte:	Accelerators Algorithms Compilers Computer Science Energy consumption Interpreters Kernels Load balancing Processor Architectures Programming Languages Servers Workload
Online-Zugang:	Volltext
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