About George Turkiyyah George Turkiyyah Research Professor, Applied Mathematics and Computational Science High Performance Computing scientific computing Neural Network Training Arabic LLMs Generative AI for Inverse Problems in Science Professor Turkiyyah's expertise lies in high-performance and GPU computing, numerical simulation and optimization and their application to scientific machine learning, large scale inverse problems, and LLM post-training. 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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