A compiler method for memory-conscious mapping of applications on coarse-grained reconfigurable architectures

This paper presents a compiler methodology for memory-aware mapping on 2-Dimensional coarse-grained reconfigurable architectures that aims in improving the mapped applications´ performance. By exploiting data reuse opportunities, the methodology tries to overcome the data memory bandwidth bottleneck, which negatively influences the applications´ performance. This is achieved by using foreground memory in the architecture and by properly placing operations in the processing elements. The methodology considers a realistic 2-Dimensional coarse-grained reconfigurable architecture template, which can model the majority of the existing coarse-grained architectures. The experimental results show that the execution time and memory accesses are reduced.