Fast CUDA matrix multiplication from scratch
☆1,100Sep 2, 2025Updated 6 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☆448Mar 30, 2022Updated 3 years ago
- CUDA Matrix Multiplication Optimization☆259Jul 19, 2024Updated last year
- Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.☆407Jan 2, 2025Updated 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
- Fastest kernels written from scratch☆561Sep 18, 2025Updated 6 months ago
- Tile primitives for speedy kernels☆3,244Mar 17, 2026Updated last week
- Flash Attention in ~100 lines of CUDA (forward pass only)☆1,098Dec 30, 2024Updated last year
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆9,484Mar 18, 2026Updated last week
- flash attention tutorial written in python, triton, cuda, cutlass☆491Jan 20, 2026Updated 2 months ago
- ☆261Jul 11, 2024Updated last year
- Material for gpu-mode lectures☆5,865Feb 1, 2026Updated last month
- A simple high performance CUDA GEMM implementation.☆428Jan 4, 2024Updated 2 years ago
- GPU programming related news and material links☆2,060Mar 8, 2026Updated 2 weeks ago
- A Easy-to-understand TensorOp Matmul Tutorial☆409Mar 5, 2026Updated 2 weeks ago
- FlashInfer: Kernel Library for LLM Serving☆5,194Updated this week
- 📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉☆9,932Updated this week
- High-Performance FP32 GEMM on CUDA devices☆118Jan 21, 2025Updated last year
- This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several…☆1,248Jul 29, 2023Updated 2 years ago
- Puzzles for learning Triton☆2,336Mar 18, 2026Updated last week
- how to optimize some algorithm in cuda.☆2,872Mar 17, 2026Updated last week
- Small scale distributed training of sequential deep learning models, built on Numpy and MPI.☆163Oct 19, 2023Updated 2 years ago
- Yinghan's Code Sample☆364Jul 25, 2022Updated 3 years ago
- ☆183May 7, 2025Updated 10 months ago
- Examples of CUDA implementations by Cutlass CuTe☆270Jul 1, 2025Updated 8 months ago
- Development repository for the Triton language and compiler☆18,708Updated this week
- row-major matmul optimization☆712Feb 24, 2026Updated last month
- Implement Flash Attention using Cute.☆102Dec 17, 2024Updated last year
- Fast low-bit matmul kernels in Triton☆438Feb 1, 2026Updated last month
- ☆2,001Jul 29, 2023Updated 2 years ago
- ☆120Apr 11, 2024Updated last year
- CUDA Library Samples☆2,353Mar 17, 2026Updated last week
- CUTLASS and CuTe Examples☆132Nov 30, 2025Updated 3 months ago
- DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling☆6,268Feb 27, 2026Updated 3 weeks ago
- Samples for CUDA Developers which demonstrates features in CUDA Toolkit☆8,991Jan 6, 2026Updated 2 months ago
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆81Aug 12, 2024Updated last year
- A Quirky Assortment of CuTe Kernels☆863Updated this week
- A bunch of kernels that might make stuff slower 😉☆79Updated this week
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆128Jul 13, 2024Updated last year
- 🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.☆253Feb 13, 2026Updated last month