Abstract
Compiling irregular applications written in a data-parallel language, like High Performance Fortran, presents a challenging problem of growing importance. One difficulty with irregular problems is the lack of access locality when distributing data and computation naïvely, based on simple functions of array and iteration indices. Value-based distributions extend index-based distributions to conveniently express for example the locality characteristics of an underlying physical problem. This gives the compiler an opportunity to improve both inter- and intraprocessor locality, resulting in better performance and scalability, even when this locality is not reflected by the sequential data structures and access patterns.
This work is supported by an IBM fellowship, and by the National Aeronautics and Space Administration/the National Science Foundation under grant #ASC-9349459.
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© 1994 Springer-Verlag Berlin Heidelberg
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v. Hanxleden, R., Kennedy, K., Saltz, J. (1994). Value-based distributions in Fortran D. In: Gentzsch, W., Harms, U. (eds) High-Performance Computing and Networking. HPCN-Europe 1994. Lecture Notes in Computer Science, vol 797. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57981-8_156
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DOI: https://doi.org/10.1007/3-540-57981-8_156
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