An Integrated Annotation and Compilation Framework for Task and Data Parallel Programming in Java

We describe a set of language extensions to Java to support parallel programming with distribution annotations. The system provides an integrated system of placement annotations on both code and data. This allows the programmer to freely mix data-parallel programming similar to HPF, and taskparallel programming similar to OpenMP. To evaluate the effectiveness of our parallel programming model, we did an experimental implementation of the language extensions in our compiler, Timber. We also present three programs from the NAS benchmark suite that use these extensions, and we compare them with their original Fortran77 implementation and an HPF implementation.