Designing High-Performance GPU Kernels with TileLang: Tensor-Core GEMM, Fused Softmax, FlashAttention, and Autotuning

Summary

<p>Explore TileLang, a high-level Python domain-specific language that simplifies the design of high-performance GPU kernels. This tutorial provides a step-by-step approach to implementing complex workloads—including tiled tensor-core GEMM, fused softmax, and FlashAttention—while letting the compiler handle intricate thread mapping, memory layouts, and low-level CUDA instruction generation.</p> <p>The post <a href="https://www.marktechpost.com/2026/07/25/designing-high-performance-gpu-kernels-with-tilelang-tensor-core-gemm-fused-softmax-flashattention-and-autotuning/">Designing High-Performance GPU Kernels with TileLang: Tensor-Core GEMM, Fused Softmax, FlashAttention, and Autotuning</a> appeared first on <a href="https://www.marktechpost.com">MarkTechPost</a>.</p>