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GPU Algorithms
Distributed multi-GPU Algorithms for Hierarchical Matrices
George Turkiyyah, Research Professor, Applied Mathematics and Computational Sciences
Oct 18, 12:00
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13:00
B9 L2 R2322
GPU Algorithms
hierarchical matrices
In this talk, we show that, besides their optimal O(N) algorithmic complexity, hierarchical matrix operations also benefit from parallel scalability on distributed machines with extremely large core counts. In particular, we describe high-performance, distributed-memory, GPU-accelerated algorithms for matrix-vector multiplication and other operations on hierarchical matrices in the H^2 format.
