Posts by Carson Liao
Day 0 Developer Guide: hipBLASLt Offline GEMM Tuning Script
- 05 November 2025
This blog post focuses on optimizing the performance of a real model using the QuickTune script, illustrated with an example of offline GEMM tuning for the Qwen model on an AMD MI308 GPU. Developed by the AMD Quark Team, the QuickTune script delivers significant GEMM performance improvements with minimal time overhead. QuickTune is an advanced tool for hipBLASLt offline GEMM tuning. It allows users to complete offline tuning with one click, instead of using hipblaslt-bench to tune the model manually.
GEMM Tuning within hipBLASLt– Part 2
- 09 October 2025
This post continues from Part 1 where we introduced GEMM tuning concepts in hipBLASLt and explored the basics of solution search. In Part 2, we focus on offline tuning with the hipblaslt-bench tool. This workflow allows developers to benchmark candidate GEMM kernels for specific problem shapes, capture the best-performing solutions, and reuse them at runtime without rebuilding or modifying the hipBLASLt library.
GEMM Tuning within hipBLASLt - Part 1
- 05 September 2025
When optimizing matrix operations on AMD GPUs using the ROCm platform, tuning specific problem sizes is essential for achieving maximum performance. The hipBLASLt library supports two official tuning mechanisms: