Fast CUDA matrix multiplication from scratch
☆1,209Sep 2, 2025Updated 9 months ago
Alternatives and similar repositories for SGEMM_CUDA
Users that are interested in SGEMM_CUDA are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Step-by-step optimization of CUDA SGEMM☆475Mar 30, 2022Updated 4 years ago
- CUDA Matrix Multiplication Optimization☆275Jul 19, 2024Updated last year
- Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.☆418Jan 2, 2025Updated last year
- Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…☆548Sep 8, 2024Updated last year
- Fastest kernels written from scratch☆583Sep 18, 2025Updated 8 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Tile primitives for speedy kernels☆3,420May 27, 2026Updated 2 weeks ago
- Flash Attention in ~100 lines of CUDA (forward pass only)☆1,155Dec 30, 2024Updated last year
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆9,868Updated this week
- flash attention tutorial written in python, triton, cuda, cutlass☆523Jan 20, 2026Updated 4 months ago
- ☆267Jul 11, 2024Updated last year
- Material for gpu-mode lectures☆6,156May 9, 2026Updated last month
- A simple high performance CUDA GEMM implementation.☆435Jan 4, 2024Updated 2 years ago
- GPU programming related news and material links☆2,162Mar 8, 2026Updated 3 months ago
- A Easy-to-understand TensorOp Matmul Tutorial☆440Mar 5, 2026Updated 3 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- FlashInfer: Kernel Library for LLM Serving☆5,760Updated this week
- High-Performance FP32 GEMM on CUDA devices☆125Jan 21, 2025Updated last year
- 📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉☆11,245May 29, 2026Updated 2 weeks ago
- Puzzles for learning Triton☆2,485Apr 1, 2026Updated 2 months 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…☆1,314Jul 29, 2023Updated 2 years ago
- how to optimize some algorithm in cuda.☆3,076Updated this week
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆165Oct 19, 2023Updated 2 years ago
- Yinghan's Code Sample☆364Jul 25, 2022Updated 3 years ago
- ☆191May 7, 2025Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Examples of CUDA implementations by Cutlass CuTe☆278Jul 1, 2025Updated 11 months ago
- Development repository for the Triton language and compiler☆19,380Jun 7, 2026Updated last week
- row-major matmul optimization☆730May 14, 2026Updated last month
- A Quirky Assortment of CuTe Kernels☆1,007May 30, 2026Updated 2 weeks ago
- Fast low-bit matmul kernels in Triton☆470May 15, 2026Updated 3 weeks ago
- Implement Flash Attention using Cute.☆108Dec 17, 2024Updated last year
- ☆2,013Jul 29, 2023Updated 2 years ago
- ☆121Apr 11, 2024Updated 2 years ago
- CUDA Library Samples☆2,433Updated this week
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- CUTLASS and CuTe Examples☆136Nov 30, 2025Updated 6 months ago
- 🤖FFPA: Extends FlashAttention-2 via Split-D for large headdims, 1.5x~3×↑🎉 vs SDPA, up to 430T🎉 on H200.☆308Updated this week
- Samples for CUDA Developers which demonstrates features in CUDA Toolkit☆9,270May 27, 2026Updated 2 weeks ago
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆81Aug 12, 2024Updated last year
- DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling☆7,370Jun 4, 2026Updated last week
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆129Jul 13, 2024Updated last year
- A bunch of kernels that might make stuff slower 😉☆90Updated this week