Tip
TileLang: Designing High-Performance GPU Kernels from Tensor-Core GEMM to FlashAttention via TVM with a High-Level Python DSL
TileLang, a TVM-based Python domain-specific language, enables the design and compilation of performance-oriented GPU kernels. The tutorial progressively implements vector addition, tiled Tensor-Core matrix multiplication, fused GEMM post-processing, row-level Softmax, and FlashAttention, comparing against PyTorch and cuBLAS baselines. Through auto-tuning to identify architecture-specific kernel configurations, TileLang manages thread mapping, memory layout, synchronization, and low-level CUDA instruction generation.
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