A Hybrid Reconfigurable Cluster-on-Chip Architecture with Message Passing Interface for Image Processing Applications

We demonstrate a hybrid reconfigurable cluster-on-chip architecture with a cross-platform Message Passing Interface (MPI), a cross-platform parallel image processing library and a sample application. We describe the system, network architecture, MPI library and the parallel image processing library implementations. We validate the performance, scalability and suitability of MPI as a software interface to enable cross-platform application parallelism on reconfigurable hybrid cluster-on-chip systems and desktop cluster systems. The presented results are promising, showing the suitability, scalability and performance of parallelisation of image processing algorithms with a cross-platform MPI implementation.