Multi-paradigm framework for parallel image processing

A software framework for the parallel execution of sequential programs using C++ classes is presented. The functional language Concurrent ML is used to implement the underlying harness and to design the programming interfaces. The hardware-independent harness promises a composable multi paradigm, unified approach to parallelism across different technologies: PowerPC, DSP and FPGA. Performance results for an image processing case study are given.