About George Turkiyyah George Turkiyyah Research Professor, Applied Mathematics and Computational Science numerical simulations High Performance Computing scientific computing geometric modeling Neural Network training algorithms large languaje models Professor Turkiyyah's expertise lies in high-performance and GPU computing, numerical simulation and optimization and their application to machine learning and large-scale modeling. Events Presented Events Oct 16 - Oct 22, 2022 Distributed multi-GPU Algorithms for Hierarchical Matrices George Turkiyyah, Research Professor, Applied Mathematics and Computational Science Oct 18, 12:00 - 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.
Distributed multi-GPU Algorithms for Hierarchical Matrices George Turkiyyah, Research Professor, Applied Mathematics and Computational Science Oct 18, 12:00 - 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.
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