Exploiting first-class arrays in Fortran for accelerator programming [electronic resource].

Published: Washington, D.C. : United States. Dept. of Energy, 2010.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy.
Additional Creators: Los Alamos National Laboratory, United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information

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Summary

Emerging architectures for high performance computing often are well suited to a data parallel programming model. This paper presents a simple programming methodology based on existing languages and compiler tools that allows programmers to take advantage of these systems. We will work with the array features of Fortran 90 to show how this infrequently exploited, standardized language feature is easily transformed to lower level accelerator code. Our transformations are based on a mapping from Fortran 90 to C++ code with OpenCL extensions. The sheer complexity of programming for clusters of many or multi-core processors with tens of millions threads of execution make the simplicity of the data parallel model attractive. Furthermore, the increasing complexity of todays applications (especially when convolved with the increasing complexity of the hardware) and the need for portability across hardware architectures make a higher-level and simpler programming model like data parallel attractive. The goal of this work has been to exploit source-to-source transformations that allow programmers to develop and maintain programs at a high-level of abstraction, without coding to a specific hardware architecture. Furthermore these transformations allow multiple hardware architectures to be targeted without changing the high-level source. It also removes the necessity for application programmers to understand details of the accelerator architecture or to know OpenCL.

Report Numbers

E 1.99:la-ur-10-08340
E 1.99: la-ur-10-8340
la-ur-10-8340
la-ur-10-08340

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Note

Published through SciTech Connect.
12/15/2010.
"la-ur-10-08340"
" la-ur-10-8340"
HIPS workshop at IPDPS 2011 ; May 16, 2011 ; Anchorage, Alaska.
Rasmussen, Craig E; Weseloh, Wayne N; Robey, Robert W; Matthew, Sottile J; Quinlan, Daniel; Overbye, Jeffrey.

Funding Information

AC52-06NA25396

View MARC record | catkey: 14654076