☆160Dec 26, 2024Updated last year
Alternatives and similar repositories for cuda-tensorcore-hgemm
Users that are interested in cuda-tensorcore-hgemm are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆73Jan 6, 2025Updated last year
- Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…☆549Sep 8, 2024Updated last year
- Yinghan's Code Sample☆364Jul 25, 2022Updated 3 years ago
- ☆121Apr 11, 2024Updated 2 years ago
- A Easy-to-understand TensorOp Matmul Tutorial☆440Mar 5, 2026Updated 3 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.
- A simple high performance CUDA GEMM implementation.☆435Jan 4, 2024Updated 2 years ago
- An extension library of WMMA API (Tensor Core API)☆113Jul 12, 2024Updated 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…☆1,314Jul 29, 2023Updated 2 years ago
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆156May 10, 2025Updated last year
- Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.☆418Jan 2, 2025Updated last year
- Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)☆147Aug 18, 2020Updated 5 years ago
- ☆154Mar 18, 2024Updated 2 years ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆45Feb 27, 2025Updated last year
- Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.☆74Sep 8, 2024Updated last year
- 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.
- Standalone Flash Attention v2 kernel without libtorch dependency☆113Sep 10, 2024Updated last year
- ☆115Apr 19, 2024Updated 2 years ago
- ☆150Jan 9, 2025Updated last year
- ☆182May 11, 2026Updated last month
- SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs☆65Mar 25, 2025Updated last year
- Fast GPU based tensor core reductions☆13Jan 13, 2023Updated 3 years ago
- An unofficial cuda assembler, for all generations of SASS, hopefully ：）☆595Apr 20, 2023Updated 3 years ago
- Step-by-step optimization of CUDA SGEMM☆475Mar 30, 2022Updated 4 years ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆96Feb 20, 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.
- ☆49Dec 11, 2020Updated 5 years ago
- This project is about convolution operator optimization on GPU, include GEMM based (Implicit GEMM) convolution.☆44Sep 29, 2025Updated 8 months ago
- row-major matmul optimization☆730May 14, 2026Updated last month
- flash attention tutorial written in python, triton, cuda, cutlass☆523Jan 20, 2026Updated 4 months ago
- 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
- Assembler and Decompiler for NVIDIA (Maxwell Pascal Volta Turing Ampere) GPUs.☆95Feb 23, 2023Updated 3 years ago
- Benchmark tests supporting the TiledCUDA library.☆19Nov 19, 2024Updated last year
- ☆25Jun 24, 2022Updated 3 years ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆16Aug 31, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Examples of CUDA implementations by Cutlass CuTe☆278Jul 1, 2025Updated 11 months ago
- [HPCA 2026] A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.☆93May 14, 2026Updated last month
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆129Jul 13, 2024Updated last year
- how to optimize some algorithm in cuda.☆3,076Jun 9, 2026Updated last week
- ☆108May 31, 2025Updated last year
- Xiao's CUDA Optimization Guide [NO LONGER ADDING NEW CONTENT]☆326Nov 8, 2022Updated 3 years ago
- ☆49Apr 15, 2024Updated 2 years ago