🔥 #AMDlabnotes presents another new article - this time to assist data scientists/ML practitioners get their #PyTorch or #TensorFlow environment up and running on #AMD #GPUs 🔥

Head over to #GPUOpen now to have a read: https://gpuopen.com/learn/amd-lab-notes/amd-lab-notes-pytorch-tensorflow-env-readme/?utm_source=mastodon&utm_medium=social&utm_campaign=amdlabnotes

Need to run large MPI jobs across multiple #AMD GPUs?

Don't miss our latest #AMDlabnotes blog post covering #GPU-aware MPI with #ROCm support 👇

https://gpuopen.com/learn/amd-lab-notes/amd-lab-notes-gpu-aware-mpi-readme/?utm_source=mastodon&utm_medium=social&utm_campaign=amd-lab-notes

#AMDlabnotes presents two brand new blog posts covering #GPU kernel optimization tips and tricks! 🔥

Firstly, we present a post about understanding and controlling register pressure:
https://gpuopen.com/learn/amd-lab-notes/amd-lab-notes-register-pressure-readme/?utm_source=mastodon&utm_medium=social&utm_campaign=amdlabnotes

And secondly, we present the third part of the Finite Difference Method #Laplacian series.

This blog covers even more optimizations to maximize performance on #AMD GPUs:
https://gpuopen.com/learn/amd-lab-notes/amd-lab-notes-finite-difference-docs-laplacian_part3/?utm_source=mastodon&utm_medium=social&utm_campaign=amdlabnotes (2/2)

#AMDlabnotes presents a brand-new blog post on the various profiling tools provided by AMD.

It also includes guidance on why a developer might leverage one tool over another.

Check out the link below to find out more!

https://gpuopen.com/learn/amd-lab-notes/amd-lab-notes-profilers-README/?utm_source=mastodon&utm_medium=social&utm_campaign=amdlabnotes

Ever wonder how #memory is managed on accelerated #HPC systems?

#AMDlabnotes presents an overview for #AMD Instinct™ MI200 #GPUs.

https://gpuopen.com/learn/amd-lab-notes/amd-lab-notes-mi200-memory-space-Overview/?utm_source=mastodon&utm_medium=social&utm_campaign=amd-lab-notes

Want to build #ROCm on your #Linux workstation? 🐧

#AMDlabnotes presents a new blog post covering three possible ways to install ROCm.

Take a look now over on on #gpuopen

https://gpuopen.com/learn/amd-lab-notes/amd-lab-notes-rocm-installation-readme/?utm_source=mastodon&utm_medium=social&utm_campaign=amdlabnotes