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Our work investigates how to map loops efficiently onto Coarse-Grained Reconfigurable Architecture (CGRA). This paper examines the properties of CGRA and builds MapReduce inspired models for the loop parallelization problem. The proposed model has a more detailed performance metric and a more flexible unrolling scheme that can unroll different loop levels with different factors. A Geometric Programming...
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