Abstract
Minimizing data communication over processors is the key to compile programs for distributed memory multicomputers. In this paper, we propose new data partition and alignment techniques for partitioning and aligning data arrays with a program in a way of minimizing communication over processors. We use skewed alignment instead of the dimension-ordered alignment techniques to align data arrays. By developing the skewed scheme, we can solve more complex programs with minimized data communication than that of the dimension-ordered scheme. Finally, the experimental results show that our proposed scheme has more opportunities to align data arrays such that data communications over processors can be minimized.
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© 2000 Springer-Verlag Berlin Heidelberg b]o
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Chen, TS., Chang, CY. (2000). Skewed Data Partition and Alignment Techniques for Compiling Programs on Distributed Memory Multicomputers. In: Valero, M., Joe, K., Kitsuregawa, M., Tanaka, H. (eds) High Performance Computing. ISHPC 2000. Lecture Notes in Computer Science, vol 1940. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39999-2_10
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DOI: https://doi.org/10.1007/3-540-39999-2_10
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41128-4
Online ISBN: 978-3-540-39999-5
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