An efficient GPU-based parallel tabu search algorithm for hardware/software co-design

Hardware/software partitioning is an essential step in hardware/software co-design. For large size problems, it is difficult to consider both solution quality and time. This paper presents an efficient GPU-based parallel tabu search algorithm (GPTS) for HW/SW partitioning. A single GPU kernel of com...

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Veröffentlicht in:	Frontiers of Computer Science Jg. 14; H. 5; S. 145316
Hauptverfasser:	HOU, Neng, HE, Fazhi, ZHOU, Yi, CHEN, Yilin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Beijing Higher Education Press 01.10.2020 Springer Nature B.V
Schlagworte:	Co-design Computer Science Costs Digital signal processors Embedded systems Energy consumption Genetic algorithms GPU-based parallel tabu search graphics processing unit Hardware hardware/software co-design hardware/software partitioning kernel fusion strategy Neighborhoods Optimization optimized transfer strategy Partitioning Research Article Search algorithms single kernel implementation Software Strategy Tabu search Traveling salesman problem optimized transfer strategy single kernel implementation GPU-based parallel tabu search graphics processing unit hardware/software co-design kernel fusion strategy hardware/ software partitioning
ISSN:	2095-2228, 2095-2236
Online-Zugang:	Volltext
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