Year: 2002
Type: conference-paper
Abstract: Task parallelism and data parallelism are often seen as mutually exclusive approaches to parallel programming. Yet there are important classes of application, for example in multidisciplinary simulation and in command and control, that would benefit from an integration of the two approaches. In this paper, we describe a programming system that we are developing to explore this sort of integration. This system builds on previous work on task-parallel and data-parallel Fortran compilers to provide an environment in which the task-parallel language Fortran M can be used to coordinate data-parallel High Performance Fortran tasks. We use an image processing problem to illustrate the issues that arise when building an integrated compilation system of this sort.>
Authors: I. Foster, Ming Xu, B. Avalani
Institution: Argonne National Laboratory
Language: English
Subfield: Hardware and Architecture
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2169039532