Machine Learning and Manycore Systems Design: A Serendipitous Symbiosis

2017/11/30 by Ryan Gary Kim, Janardhan Rao Doppa, Kim, Ryan Gary +7 · 1 citation
Computer Science · #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG) #cs.AR #cs.LG

paper · pdf · doi:10.48550/arxiv.1712.00076

To appear in a future publication of IEEE Computer

arxiv created 2017/11/30 · arxiv updated 2017/12/11

Abstract

Tight collaboration between experts of machine learning and manycore system design is necessary to create a data-driven manycore design framework that integrates both learning and expert knowledge. Such a framework will be necessary to address the rising complexity of designing large-scale manycore systems and machine learning techniques.

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