Abstract
An algorithm from the LRnLA family, DiamondTetris, for stencil computation is constructed. It is aimed for Many-Integrated-Core processors of the Xeon Phi family. The algorithm and its implementation is described for the wave equation based simulation. Its strong points are locality, efficient use of memory hierarchy, and, most importantly, seamless vectorization. Specifically, only 1 vector rearrange operation is necessary per cell value update. The performance is estimated with the roofline model. The algorithm is implemented in code and tested on Xeon and Xeon Phi machines.
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Acknowledgments
The access to the computing resources with Intel Xeon Phi KNL has been provided by Colfax Research (colfaxresearch.com) in the course of “Deep Dive” HOW series.
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Levchenko, V., Perepelkina, A. (2017). The DiamondTetris Algorithm for Maximum Performance Vectorized Stencil Computation. In: Malyshkin, V. (eds) Parallel Computing Technologies. PaCT 2017. Lecture Notes in Computer Science(), vol 10421. Springer, Cham. https://doi.org/10.1007/978-3-319-62932-2_11
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DOI: https://doi.org/10.1007/978-3-319-62932-2_11
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