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Fast and Memory-Efficient Exact Attention (BF16/FP16/FP8/FP4) for Large Headdim, 1.5x~15x speedup over PyTorch SDPA.
SGLang is a fast serving framework for large language models and vision language models.
Modern CUDA Learn Notes with PyTorch for Beginners, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.
πA curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.π
π€ Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
CUDA Templates and Python DSLs for High-Performance Linear Algebra
Reference implementation and examples of the CuTe Layout representation and algebra.
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