A two-level co-design framework for Xputer-based data-driven reconfigurable accelerators

Presents the parallelizing compilation environment CoDe-X (Co-Design for Xputers) for the simultaneous programming of transputer (Xputer) based accelerators and their hosts. This paper introduces its hardware/software co-design strategies at two levels of partitioning. CoDe-X performs profiling-driven host/accelerator partitioning at the first level, for performance optimization, and resource-driven sequential/structural partitioning of the accelerator source code at the second level, to optimize the utilization of its reconfigurable resources. To stress the significance of this application development methodology, the paper first gives an introduction to the underlying hardware platform