Deepseek-ai/TileKernels: A kernel library written in tilelang
A kernel library written in tilelang. Contribute to deepseek-ai/TileKernels development by creating an account on GitHub.
3 Comments so far
Interesting to see tilelang being used for kernel libraries like this. I’ve been exploring similar approaches for GPU optimization, and having a dedicated library like TileKernels could save a lot of boilerplate work. How does the performance compare to handwritten CUDA kernels for common operations?
Interesting to see TileLang getting more traction in kernel development. I’ve been experimenting with it for some GEMM optimizations on consumer GPUs, and the tile-level abstraction does make certain patterns much cleaner than raw CUDA. Curious how the performance compares to hand-tuned cuBLAS kernels for larger matrix sizes, though.
Reading about AI kernel libraries reminded me of how technology can unravel hidden layers, much like in this mystery game. The article’s focus on robotics/AI parallels the way games like these use code to craft immersive narratives.
Interesting to see tilelang being used for kernel libraries like this. I’ve been exploring similar approaches for GPU optimization, and having a dedicated library like TileKernels could save a lot of boilerplate work. How does the performance compare to handwritten CUDA kernels for common operations?
Interesting to see TileLang getting more traction in kernel development. I’ve been experimenting with it for some GEMM optimizations on consumer GPUs, and the tile-level abstraction does make certain patterns much cleaner than raw CUDA. Curious how the performance compares to hand-tuned cuBLAS kernels for larger matrix sizes, though.
Reading about AI kernel libraries reminded me of how technology can unravel hidden layers, much like in this mystery game. The article’s focus on robotics/AI parallels the way games like these use code to craft immersive narratives.