Integrated Support for Task and Data Parallelism

We present an overview of research at the CRPC designed to provide an e cient, portable programmingmodel for scienti c applications possessing both task and data parallelism. Fortran M programs exploit task parallelism by providing language extensions for user-de ned process management and typed communication channels. A combination of compiler and run-time system support ensures modularity, safety, portability, and e ciency. Fortran D and High Performance Fortran programs exploit data parallelism by providing language extensions for user-de ned data decomposition speci cations, parallel loops, and parallel array operations. Compile-time analysis and optimization yield e cient, portable programs. We design an interface for using a task-parallel language to coordinate concurrent data-parallel computations. The interface permits concurrently executing data-parallel computations to interact through messages. A key notion underlying the proposed interface is the integration of Fortran M resource management constructs and Fortran D data decomposition constructs. This research was supported by the National Science Foundation's Center for Research in Parallel Computation, under Contract CCR-8809615. 1