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Coarse-grained reconfigurable architecture (CGRA) is a promising parallel computing platform that provides high performance, high power efficiency and flexibility. However, for imperfect nested loops, the existing loop mapping methods often result in low execution performance and poor hardware utilization. To tackle this problem, this paper makes three contributions: <bold>1)</bold> a...
Coarse Grained Reconfigurable Arrays (CGRA) are more area and energyefficient compared to FPGAs, if we consider applications that aredominated by arithmetical operations. Enabling the user to employCGRAs requires tools to create suitable CGRA instances and to programthem on a high abstraction level. In this contribution we brieflyexplain a CGRA archticture generator and we focus on the schedulerthat...
Reconfigurable Architectures are good candidates for application accelerators that cannot be set in stone at production time. FPGAs however, often suffer from the area and performance penalty intrinsic in gate-level reconfigurability. To reduce this overhead, coarse-grained reconfigurable arrays (CGRAs) are reconfigurable at the ALU level, but a successful design needs more than computational power-the...
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