Data-Flow Graph Mapping Optimization for CGRA With Deep Reinforcement Learning
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DOI: 10.1109/tcad.2018.2878183
Abstract: Coarse-grained reconfigurable architectures (CGRAs) have drawn increasing attention due to their flexibility and energy efficiency. Data flow graphs (DFGs) are often mapped onto CGRAs for acceleration. The problem of DFG mapping is challenging due to… read more here.
Keywords: flow graph; cgra; reinforcement learning; deep reinforcement ... See more keywords