Snektron / gpumode-amd-fp8-mmLinks
My submission for the GPUMODE/AMD fp8 mm challenge
☆29Updated 6 months ago
Alternatives and similar repositories for gpumode-amd-fp8-mm
Users that are interested in gpumode-amd-fp8-mm are comparing it to the libraries listed below
Sorting:
- Row-wise block scaling for fp8 quantization matrix multiplication. Solution to GPU mode AMD challenge.☆16Updated 2 months ago
- High-Performance SGEMM on CUDA devices☆113Updated 10 months ago
- Learning about CUDA by writing PTX code.☆148Updated last year
- Quantized LLM training in pure CUDA/C++.☆220Updated this week
- coding CUDA everyday!☆71Updated 3 weeks ago
- Efficient implementation of DeepSeek Ops (Blockwise FP8 GEMM, MoE, and MLA) for AMD Instinct MI300X☆73Updated 2 weeks ago
- ☆75Updated 3 weeks ago
- ☆22Updated 4 months ago
- PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)☆66Updated 8 months ago
- Helpful kernel tutorials and examples for tile-based GPU programming☆202Updated this week
- ☆111Updated 2 weeks ago
- TritonParse: A Compiler Tracer, Visualizer, and Reproducer for Triton Kernels☆177Updated this week
- Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!☆164Updated last week
- ☆14Updated last month
- Custom PTX Instruction Benchmark☆135Updated 9 months ago
- Super fast FP32 matrix multiplication on RDNA3☆81Updated 8 months ago
- Write a fast kernel and run it on Discord. See how you compare against the best!☆61Updated last week
- This repository contains companion software for the Colfax Research paper "Categorical Foundations for CuTe Layouts".☆81Updated 2 months ago
- Samples of good AI generated CUDA kernels☆92Updated 6 months ago
- Hand-Rolled GPU communications library☆72Updated last week
- Nvidia Instruction Set Specification Generator☆301Updated last year
- It is an LLM-based AI agent, which can write correct and efficient gpu kernels automatically.☆43Updated this week
- ☆38Updated 6 months ago
- Fast and Furious AMD Kernels☆309Updated last week
- Step by step implementation of a fast softmax kernel in CUDA☆58Updated 11 months ago
- ☆31Updated 5 months ago
- pytorch from scratch in pure C/CUDA and python☆41Updated last year
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆143Updated 3 weeks ago
- Low overhead tracing library and trace visualizer for pipelined CUDA kernels☆116Updated last week
- Ship correct and fast LLM kernels to PyTorch☆125Updated 3 weeks ago