Code generation for process network models onto parallel architectures

With multi-core and many-core architectures becoming the current focus of research and development, and as vast varieties of architectures and programming models emerg-ing in research, the design space for applications is becom-ing enormous. From the number of cores, the memory hi-erarchy, the interconnect to even the programming model and language used are all design choices that need to be optimized for applications in order to fully benefit from par-allel architectures. We propose a code generation frame-work targeting rapid design space exploration and proto-typing. From the high level design, code for specific ar-chitectures and mappings can be generated and used for comparison. We choose Khan Process Networks[11] as our current specification language, because of its inherit paral-lelism and expressiveness. Our code generator take advan-tage of Message Passing Interface (MPI) [6] as the API for implementing message passing across platforms. We show the scalability of the generated MPI code and the ability to extend our framework to allow for tuning and optimization.