Provided by: University of North Carolina
The Processing Graph Method (PGM) is a widely used framework for modeling applications with producer/ consumer precedence constraints. PGM was originally developed by the U.S. Navy to model signal-processing applications where data communications exist among connected tasks. Prior paper has shown how to schedule PGM-specified systems on uniprocessors and globally-scheduled multiprocessors. In this paper, this work is extended to enable such systems to be supported in a distributed collection of multicore machines. In such a context, pure global and partitioned scheduling approaches are problematic. Moreover, data communication costs must be considered.