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Reinforcement Learning Approach for Mapping Applications to Dataflow-Based Coarse-Grained Reconfigurable Array. (arXiv:2205.13675v1 [cs.AR])
May 30, 2022, 1:10 a.m. | Andre Xian Ming Chang, Parth Khopkar, Bashar Romanous, Abhishek Chaurasia, Patrick Estep, Skyler Windh, Doug Vanesko, Sheik Dawood Beer Mohideen, Euge
cs.LG updates on arXiv.org arxiv.org
The Streaming Engine (SE) is a Coarse-Grained Reconfigurable Array which
provides programming flexibility and high-performance with energy efficiency.
An application program to be executed on the SE is represented as a combination
of Synchronous Data Flow (SDF) graphs, where every instruction is represented
as a node. Each node needs to be mapped to the right slot and array in the SE
to ensure the correct execution of the program. This creates an optimization
problem with a vast and sparse search …
applications ar arxiv dataflow learning mapping reinforcement reinforcement learning
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