Posts by Logan Grado
Accelerating models on ROCm using PyTorch TunableOp
- 03 July 2024
In this blog, we will show how to leverage PyTorch TunableOp to accelerate models using ROCm on AMD GPUs. We will discuss the basics of General Matrix Multiplications (GEMMs), show an example of tuning a single GEMM, and finally, demonstrate real-world performance gains on an LLM (gemma) using TunableOp.
Scale AI applications with Ray
- 01 April 2024
1, Apr 2024 by Vicky Tsang<vicktsan>, {hoverxref}Logan Grado, {hoverxref}Eliot Li
Automatic mixed precision in PyTorch using AMD GPUs
- 29 March 2024
As models increase in size, the time and memory needed to train them–and consequently, the cost–also increases. Therefore, any measures we take to reduce training time and memory usage can be highly beneficial. This is where Automatic Mixed Precision (AMP) comes in.