GPU Algorithms

KAUST master’s student Osama Dabbousi awarded Rhodes Scholarship

1 min read · Tue, Nov 18 2025

News Clip Awards News

HPC GPU Algorithms numerical methods

KAUST master’s student Osama Dabbousi earns the prestigious Rhodes Scholarship, reflecting KAUST’s growing role in developing national research talent.

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.