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Asynchronous Methods on AMD GPU-Based Systems

Linear Algebra seminar by Katarzyna Swirydowicz, Advanced Micro Devices (AMD)

Hosted by Institute for Computational and Experimental Research in Mathematics (ICERM), Brown University

Friday 09:00 New York (GMT-4)

Recording available

Providence, RI, USA · In person

Abstract

Katarzyna Swirydowicz uses an asynchronous solver on an AMD system to examine the practical implementation of computational linear algebra across CPUs and GPUs. The talk introduces the relevant computational ideas, programming models, and software tools, then considers how algorithmic structure interacts with hardware capabilities. This case study illustrates both the opportunities and implementation challenges of asynchronous methods for large-scale scientific computing on GPU-accelerated systems.

Topics

GPU computingasynchronous solversheterogeneous hardware

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