[pdt94.abs]

T. Gross, D. O'Hallaron, and J. Subhlok, "Task parallelism in a High
Performance Fortran framework", IEEE Parallel & Distributed
Technology, Vol 2, Num 3, Fall, 1994, pp. 16-26.

Abstract: High Performance Fortran (HPF) has emerged as a standard
dialect of Fortran for data parallel computing.  However, for a wide
variety of applications, both task and data parallelism must be
exploited to achieve the best possible performance on a multicomputer.
We present the design and implementation of a Fortran compiler that
integrates task and data parallelism in an HPF framework.  A small set
of simple directives allow users to express task parallel programs in
a variety of domains.  The user identifies opportunities for task
parallelism, and the compiler handles task creation and management, as
well as communication between tasks.  Since a unified compiler handles
both task parallelism and data parallelism, existing data parallel
programs and libraries can serve as the building blocks for
constructing larger task parallel programs.  This paper concludes with
a description of several parallel application kernels that were
developed with the compiler.  The examples demonstrate that exploiting
data and task parallelism in a single framework is the key to
achieving good performance for a variety of applications.