An architectural space exploration tool for domain specific reconfigurable computing

In this paper, we describe a design space exploration (DSE) tool for domain specific reconfigurable computing where the needs of the applications drive the construction of the device architecture. The tool has been developed to automate the design space case studies which allows application developers to explore architectural tradeoffs efficiently and reach solutions quickly. We selected some of the core signal processing benchmarks from the MediaBench benchmark suite and some of the edge-detection benchmarks from the image processing domain for our case studies. We compare the energy consumption of the architecture selected from manual design space case studies with the architectural solution selected by the design space exploration tool. The architecture selected by the DSE tool consumes approximately 9% less energy on an average as compared to the best candidate from the manual design space case studies. The fabric architecture selected from the manual design case studies and the one selected by the tool were synthesized on 130 nm cell-based ASIC fabrication process from IBM. We compare the energy of the benchmarks implemented onto the fabric with other hardware and software implementations. Both fabric architectures (manual and tool) yield energy within 3X of a direct ASIC implementation, 330X better than a Virtex-II Pro FPGA and 2016X better than an Intel XScale processor.