DESIGNING HIGH-PERFORMANCE GPU KERNELS WITH TILELANG: TENSOR-CORE GEMM, FUSED SOFTMAX, FLASHATTENTION, AND AUTOTUNING

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…

MarkTechPost reports that explore TileLang, a high-level Python domain-specific language that simplifies the design of high-performance GPU kernels.

The report adds: 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…

The post Designing High-Performance GPU Kernels with TileLang: Tensor-Core GEMM, Fused Softmax, FlashAttention, and Autotuning appeared first on MarkTechPost.

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