Resource Sharing and Pipelining in Coarse-Grained Reconfigurable Architecture for Domain-Specific Optimization

Yoonjin Kim, Mary Kiemb, Chulsoo Park, Jinyong Jung, Kiyoung Choi

Coarse-grained reconfigurable architectures aim to achieve both goals of high performance and flexibility. However, existing reconfigurable array architectures require many resources without considering the specific application domain. Functional resources that take long latency and/or large area can be pipelined and/or shared among the processing elements. Therefore the hardware cost and the delay can be effectively reduced without any performance degradation for some application domains. We suggest such reconfigurable array architecture template and design space exploration flow for domain-specific optimization. Experimental results show that our approach is much more efficient both in performance and area compared to existing reconfigurable architectures.

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