Jokeren / Awesome-GPU
Awesome resources for GPUs
☆567Updated last year
Alternatives and similar repositories for Awesome-GPU:
Users that are interested in Awesome-GPU are comparing it to the libraries listed below
- A Easy-to-understand TensorOp Matmul Tutorial☆346Updated 7 months ago
- collection of benchmarks to measure basic GPU capabilities☆369Updated 2 months ago
- CUDA Kernel Benchmarking Library☆629Updated this week
- Step-by-step optimization of CUDA SGEMM☆315Updated 3 years ago
- Shared Middle-Layer for Triton Compilation☆246Updated 2 weeks ago
- Fast CUDA matrix multiplication from scratch☆707Updated last year
- A simple high performance CUDA GEMM implementation.☆367Updated last year
- An unofficial cuda assembler, for all generations of SASS, hopefully :)☆493Updated 2 years ago
- Distributed Triton for Parallel Systems☆644Updated this week
- Assembler for NVIDIA Volta and Turing GPUs☆218Updated 3 years ago
- CUDA Matrix Multiplication Optimization☆184Updated 9 months ago
- A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")☆324Updated this week
- Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…☆401Updated 8 months ago
- Backward compatible ML compute opset inspired by HLO/MHLO☆470Updated last week
- A list of tutorials, paper, talks, and open-source projects for emerging compiler and architecture☆444Updated 3 months ago
- Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.☆342Updated 4 months ago
- Composable Kernel: Performance Portable Programming Model for Machine Learning Tensor Operators☆393Updated this week
- Fastest kernels written from scratch☆256Updated last month
- An MLIR-based compiler framework bridges DSLs (domain-specific languages) to DSAs (domain-specific architectures).☆585Updated last month
- A model compilation solution for various hardware☆429Updated last week
- MSCCL++: A GPU-driven communication stack for scalable AI applications☆345Updated this week
- ☆202Updated 9 months ago
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆1,089Updated this week
- Training material for Nsight developer tools☆157Updated 9 months ago
- A curated list of awesome projects and papers for distributed training or inference☆232Updated 7 months ago
- Examples demonstrating available options to program multiple GPUs in a single node or a cluster☆697Updated 2 months ago
- Mirage: Automatically Generating Fast GPU Kernels without Programming in Triton/CUDA☆820Updated this week
- ☆413Updated this week
- An open-source efficient deep learning framework/compiler, written in python.☆698Updated 2 months ago
- Cataloging released Triton kernels.☆220Updated 3 months ago