Posts by Ethan Lin
Customizing Kernels with hipBLASLt TensileLite GEMM Tuning - Advanced User Guide
- 06 April 2026
Optimizing General Matrix Multiply (GEMM) operations is critical for maximizing the efficiency of AI models on AMD hardware. In our previous blog posts, we explored Offline Tuning, a method for selecting the best-performing kernel from an existing solution pool. For detailed instructions on using hipBLASLt-bench, please refer to hipBLASLt offline tuning part 1 and part 2. Additionally, for a streamlined experience, check out the Day 0 Developer Guide: hipBLASLt Offline GEMM Tuning Script which covers one-click offline tuning. Furthermore, for scenarios requiring dynamic runtime adaptation, developers can explore our recently published blog on hipBLASLt Online GEMM Tuning.