Hybrid-Priority Configuration Cache Supervision Method for Coarse Grained Reconfigurable Architecture

Coarse-grained reconfigurable architecture (CGRA) aims to provide satisfying solutions in terms of both efficiency and flexibility. However, to meet the ever increasing performance demand for multimedia applications, the scale of CGRAs should be larger enough to contain more computation resources for higher processing performance. In this paper, we present a hybrid-priority configuration cache supervision approach to optimize the reconfiguration process of large-scale coarse-grained reconfigurable architectures for multimedia applications. By analyzing the reconfiguration features during mapping multimedia applications onto large-scale CGRAs, three types of priority are summarized and adopted to the supervision strategy of hierarchical configuration cache. Taking the H.264 standard as benchmark, the experimental results show that the proposed approach can improve the reconfiguration efficiency of the large-scale CGRAs much, even with reduced configuration cache size.