NVIDIA CUDA Tile 用高性能前向 Pass Kernel 加速 Mamba-2

Accelerating Mamba-2 with High-Performance Forward Pass Kernels in NVIDIA CUDA Tile

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NVIDIA CUDA Tile（cuTile）通过高性能前向 pass kernel 加速 Mamba-2。cuTile 是面向 NVIDIA GPU 的 Python DSL 与并行编程模型，将线程级和 warp 级调度抽象为 tile 级原语，让开发者用 Python 编写 GPU kernel，并由编译器自动完成优化。

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$Decorative math image.$ NVIDIA CUDA Tile (cuTile) is a Python-based DSL and parallel programming model for NVIDIA GPUs that automatically leverages advanced hardware capabilities to... $Decorative math image.$

NVIDIA CUDA Tile (cuTile) is a Python-based DSL and parallel programming model for NVIDIA GPUs that automatically leverages advanced hardware capabilities to deliver peak performance for tile-level GPU programming. By abstracting thread- and warp-level scheduling behind high-level, tile-centric primitives, cuTile enables you to write GPU kernels in Python while compiler optimizations automatically…

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来源：NVIDIA Developer Blog · developer.nvidia.com