Design Space Exploration of Memory Controller Placement in Throughput Processors with Deep Learning

As throughput-oriented processors incur a significant number of data accesses, the placement of memory controllers (MCs) has a critical impact on overall performance. However, due to the lack of a systematic way to explore the huge design space of MC placements, only a few ad-hoc placements have bee...

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Bibliographic Details
Published in:	IEEE computer architecture letters 2019-01, Vol.18 (1), p.51-54
Main Authors:	Lin, Ting-Ru, Li, Yunfan, Pedram, Massoud, Chen, Lizhong
Format:	Article
Language:	English
Subjects:	Benchmark testing Computer architecture Computer simulation Controllers Deep learning design space exploration Genetic algorithms Interconnection networks Kernel memory controllers Performance prediction Placement Processors Program processors Search process Space exploration Throughput
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