Data locality-based mesh partitioning methods for dataflow machines

Power efficiency became an important factor in High Performance Computing (HPC). FPGA-based dataflow machines are the best candidates for power efficient computing, because of the maximized memory bandwidth utilization, and user-defined optimal caching. However, input data streams are required with optimized data locality. This paper focuses on the possibilities of novel mesh partitioning techniques, which provide partitions with better data locality.