Integrated Support for Task and Data Parallelism

We present an overview of research at the Center for Research on Parallel Computation designed to provide an efficient, portable programming model for scientific applications possessing both task and data parallelism. Fortran M programs exploit task parallelism by providing language extensions for user-defined process management and typed communication channels. A combination of compiler and run-time system support ensures modularity, safety, portability, and efficiency. Fortran D and High Performance Fortran programs exploit data parallelism by providing language extensions for user-defined data decomposition specifications, parallel loops, and parallel-array operations.