Hacker News
- How to optimize a CUDA matmul kernel for cuBLAS-like performance (2022) https://siboehm.com/articles/22/CUDA-MMM 33 comments
- How to Optimize a CUDA Matmul Kernel for CuBLAS-Like Performance: A Worklog https://siboehm.com/articles/22/CUDA-MMM 16 comments
Linking pages
- Optimizing a WebGPU Matmul Kernel for 1TFLOP+ Performance https://zanussbaum.substack.com/p/optimizing-a-webgpu-matmul-kernel 80 comments
- How to make LLMs go fast https://vgel.me/posts/faster-inference/ 54 comments
- Fast LLM Inference From Scratch https://andrewkchan.dev/posts/yalm.html 28 comments
- GitHub - arekpaterek/Faster_SGEMM_CUDA: FP32 matrix multiplication of large square matrices in some cases faster than cuBLAS. https://github.com/arekpaterek/Faster_SGEMM_CUDA 5 comments
- Sholto Douglas & Trenton Bricken - How to Build & Understand GPT-7's Mind https://www.dwarkeshpatel.com/p/sholto-douglas-trenton-bricken 3 comments
- Autotune for GPU Kernels: Ensuring Consistent Peak Performance https://burn.dev/blog/autotune-for-gpu-kernels 1 comment
- GitHub - clu0/unet.cu: UNet diffusion model in pure CUDA https://github.com/clu0/unet.cu 0 comments
- GitHub - AnswerDotAI/gpu.cpp: A lightweight library for portable low-level GPU computation using WebGPU. https://github.com/AnswerDotAI/gpu.cpp 0 comments
- How To Write A Fast Matrix Multiplication From Scratch With Tensor Cores | Alex Armbruster https://alexarmbr.github.io/2024/08/10/How-To-Write-A-Fast-Matrix-Multiplication-From-Scratch-With-Tensor-Cores.html 0 comments
- CUDA Matrix Multiplication Optimization - Lei Mao's Log Book https://leimao.github.io/article/CUDA-Matrix-Multiplication-Optimization/ 0 comments
- Implementing a fast Tensor Core matmul on the Ada Architecture | spatters.ca https://www.spatters.ca/mma-matmul 0 comments
- Outperforming cuBLAS on H100: a Worklog https://cudaforfun.substack.com/p/outperforming-cublas-on-h100-a-worklog 0 comments
Linked pages
- https://godbolt.org 794 comments
- Excalidraw | Hand-drawn look & feel • Collaborative • Secure https://excalidraw.com/ 100 comments
- Computers can be understood - Made of Bugs https://blog.nelhage.com/post/computers-can-be-understood/ 83 comments
- Home \ Anthropic https://www.anthropic.com/ 48 comments
- [1804.06826] Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking https://arxiv.org/abs/1804.06826 32 comments
- https://www2.eecs.berkeley.edu/Pubs/TechRpts/2016/EECS-2016-143.pdf 27 comments
- PyTorch internals : ezyang’s blog http://blog.ezyang.com/2019/05/pytorch-internals/ 10 comments
- GitHub - openai/triton: Development repository for the Triton language and compiler https://github.com/openai/triton 5 comments
- GitHub - NVIDIA/cutlass: CUDA Templates for Linear Algebra Subroutines https://github.com/NVIDIA/cutlass 0 comments
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