Tools · MarkTechPost ·

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 tutorial introduces TileLang, a Python-based domain-specific language for developing optimized GPU kernels. It demonstrates tensor-core GEMM, fused softmax, FlashAttention, and autotuning while the compiler manages thread mapping, memory layouts, and CUDA instruction generation.

Read the full story at MarkTechPost →