Abstract
In this chapter, we propose a linear data distribution technique, which extends the traditional BLOCK or CYCLIC distribution for intra-dimension as in HPF, to permit partitioning the array elements along slant lines. The array distribution patterns are determined by analyzing the array subscript references in loop nests. If the data are distributed along the slant lines, then we show the conversion algorithm between global address and local address, and the conversion algorithm from global iteration space to local iteration space.
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Guo, M. (2004). Linear Data Distribution based on Index Analysis. In: Yang, L.T., Pan, Y. (eds) High Performance Scientific and Engineering Computing. The Springer International Series in Engineering and Computer Science, vol 750. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-5402-5_2
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DOI: https://doi.org/10.1007/978-1-4757-5402-5_2
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