Skip to contentSkip to filters

We use cookies for analytics.

Asynchronous Methods on AMD GPU-Based Systems

Friday 09:00 New York (GMT-4)

Recording available

Providence, United States · In person
Related content

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

asynchronous solverAMD systemcomputational linear algebraCPUsGPUsprogramming modelssoftware toolsalgorithmic structurelarge-scale scientific computingGPU-accelerated systems