NHR PerfLab Seminar: The Comedy Club of High-Performance Computing: Low-Rank Matrix Approximation Takes the Stage! (May 16, online)
Speaker: Hatem Ltaief, King Abdullah University of Science and Technology (KAUST)
Title: The Comedy Club of High-Performance Computing: Low-Rank Matrix Approximation Takes the Stage!
Date and time: Tuesday, May 16, 2:00 p.m. – 3:00 p.m. CEST
Abstract:
The talk presents an HPC implementation of Tile Low-Rank Matrix-Vector Multiplication (TLR-MVM) on various hardware systems. TLR-MVM is one of the most time-consuming computational kernels for seismic wave-equation-based processing and ground-based computational astronomy applications. TLR-MVM exploits data sparsity of the respective operators and relies on an efficient data layout to saturate bandwidth of the underlying hardware architectures. We report preliminary results and show the performance superiority of TLR-MVM against state-of-the-art dense implementations.
Short bio:
Hatem Ltaief is the Principal Research Scientist of the Extreme Computing Research Center, King Abdullah University of Science and Technology (KAUST), Saudi Arabia. His research interests include parallel numerical algorithms, parallel programming models, and performance optimizations for multicore architectures and hardware accelerators.
For a list of past and upcoming NHR PerfLab seminar events, see: https://hpc.fau.de/research/nhr-perflab-seminar-series/