RadeonFlow / RadeonFlow_KernelsLinks
Efficient implementation of DeepSeek Ops (Blockwise FP8 GEMM, MoE, and MLA) for AMD Instinct MI300X
☆60Updated last week
Alternatives and similar repositories for RadeonFlow_Kernels
Users that are interested in RadeonFlow_Kernels are comparing it to the libraries listed below
Sorting:
- TritonParse: A Compiler Tracer, Visualizer, and mini-Reproducer(WIP) for Triton Kernels☆139Updated this week
- Official Problem Sets / Reference Kernels for the GPU MODE Leaderboard!☆69Updated 3 weeks ago
- Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.☆199Updated this week
- ☆110Updated 4 months ago
- Fastest kernels written from scratch☆310Updated 4 months ago
- A Python-embedded DSL that makes it easy to write fast, scalable ML kernels with minimal boilerplate.☆212Updated this week
- ☆227Updated this week
- ☆85Updated 9 months ago
- A Quirky Assortment of CuTe Kernels☆388Updated this week
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆93Updated last month
- ☆228Updated last year
- A curated collection of resources, tutorials, and best practices for learning and mastering NVIDIA CUTLASS☆205Updated 3 months ago
- kernels, of the mega variety☆466Updated 2 months ago
- CUDA Matrix Multiplication Optimization☆213Updated last year
- ☆33Updated 3 weeks ago
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆93Updated 2 months ago
- Evaluating Large Language Models for CUDA Code Generation ComputeEval is a framework designed to generate and evaluate CUDA code from Lar…☆58Updated last month
- ☆60Updated 3 months ago
- Cataloging released Triton kernels.☆247Updated 6 months ago
- extensible collectives library in triton☆88Updated 4 months ago
- DeeperGEMM: crazy optimized version☆71Updated 3 months ago
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆113Updated last year
- ☆41Updated 3 months ago
- Fast low-bit matmul kernels in Triton☆339Updated this week
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆183Updated 6 months ago
- High-Performance SGEMM on CUDA devices☆98Updated 6 months ago
- Step-by-step optimization of CUDA SGEMM☆363Updated 3 years ago
- An experimental CPU backend for Triton☆139Updated 2 months ago
- Framework to reduce autotune overhead to zero for well known deployments.☆79Updated 2 weeks ago
- Implement Flash Attention using Cute.☆92Updated 7 months ago