Introducing AMD lab notes – new programming tutorials for HPC and ML
In this blog series, we share the lessons learned from tuning a wide range of scientific applications, libraries, and frameworks for AMD GPUs.
In this blog series, we share the lessons learned from tuning a wide range of scientific applications, libraries, and frameworks for AMD GPUs.
This first post in the ‘AMD lab notes’ series takes a look at AMD’s Matrix Core technology and how best to use it to speed up your matrix operations.
The finite difference method is a powerful tool for computational physics. This post covers how to implement a GPU-accelerated finite difference code using AMD’s HIP API.