Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.
☆409Jan 2, 2025Updated last year
Alternatives and similar repositories for Optimizing-SGEMM-on-NVIDIA-Turing-GPUs
Users that are interested in Optimizing-SGEMM-on-NVIDIA-Turing-GPUs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A simple high performance CUDA GEMM implementation.☆428Jan 4, 2024Updated 2 years ago
- This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several…☆1,259Jul 29, 2023Updated 2 years ago
- Yinghan's Code Sample☆366Jul 25, 2022Updated 3 years ago
- ☆120Apr 11, 2024Updated last year
- Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…☆531Sep 8, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- row-major matmul optimization☆712Feb 24, 2026Updated last month
- Stepwise optimizations of DGEMM on CPU, reaching performance faster than Intel MKL eventually, even under multithreading.☆162Feb 3, 2022Updated 4 years ago
- Step-by-step optimization of CUDA SGEMM☆448Mar 30, 2022Updated 3 years ago
- Fast CUDA matrix multiplication from scratch☆1,100Sep 2, 2025Updated 6 months ago
- ☆2,001Jul 29, 2023Updated 2 years ago
- A Easy-to-understand TensorOp Matmul Tutorial☆422Mar 5, 2026Updated 3 weeks ago
- how to optimize some algorithm in cuda.☆2,887Updated this week
- ☆159Dec 26, 2024Updated last year
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆9,484Mar 18, 2026Updated last week
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- An unofficial cuda assembler, for all generations of SASS, hopefully ：）☆576Apr 20, 2023Updated 2 years ago
- Assembler and Decompiler for NVIDIA (Maxwell Pascal Volta Turing Ampere) GPUs.☆94Feb 23, 2023Updated 3 years ago
- Assembler for NVIDIA Maxwell architecture☆1,060Jan 3, 2023Updated 3 years ago
- Xiao's CUDA Optimization Guide [NO LONGER ADDING NEW CONTENT]☆323Nov 8, 2022Updated 3 years ago
- flash attention tutorial written in python, triton, cuda, cutlass☆494Jan 20, 2026Updated 2 months ago
- Fastest kernels written from scratch☆561Sep 18, 2025Updated 6 months ago
- collection of benchmarks to measure basic GPU capabilities☆511Oct 24, 2025Updated 5 months ago
- Examples of CUDA implementations by Cutlass CuTe☆271Jul 1, 2025Updated 8 months ago
- ☆150Mar 18, 2024Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- CUDA Matrix Multiplication Optimization☆263Jul 19, 2024Updated last year
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆82Aug 12, 2024Updated last year
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆753Aug 6, 2025Updated 7 months ago
- ☆119May 16, 2025Updated 10 months ago
- ☆151Jan 9, 2025Updated last year
- CUDA Library Samples☆2,353Mar 17, 2026Updated last week
- ☆40Feb 28, 2020Updated 6 years ago
- ☆169Feb 5, 2026Updated last month
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆193Jan 28, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,041Sep 4, 2024Updated last year
- Standalone Flash Attention v2 kernel without libtorch dependency☆113Sep 10, 2024Updated last year
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆150May 10, 2025Updated 10 months ago
- TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.☆106Jun 28, 2025Updated 8 months ago
- An implementation of SGEMV with performance comparable to cuBLAS.☆12May 21, 2021Updated 4 years ago
- Flash Attention in ~100 lines of CUDA (forward pass only)☆1,098Dec 30, 2024Updated last year
- 📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉☆10,022Updated this week