ForOpenCL: transformations exploiting array syntax in Fortran for accelerator programming Online publication date: Thu, 14-Feb-2013
by Matthew J. Sottile; Craig E. Rasmussen; Wayne N. Weseloh; Robert W. Robey; Daniel Quinlan; Jeffrey Overbey
International Journal of Computational Science and Engineering (IJCSE), Vol. 8, No. 1, 2013
Abstract: Emerging GPU architectures for high performance computing are well suited to a data-parallel programming model. This paper presents preliminary work examining a programming methodology that provides Fortran programmers with access to these emerging systems. We use array constructs in Fortran to show how this infrequently exploited, standardised language feature is easily transformed to lower-level accelerator code. The transformations in ForOpenCL are based on a simple mapping from Fortran to OpenCL. We demonstrate, using a stencil code solving the shallow-water fluid equations, that the performance of the ForOpenCL compiler-generated transformations is comparable with that of hand-optimised OpenCL code.
Online publication date: Thu, 14-Feb-2013
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Science and Engineering (IJCSE):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com