how to optimize some algorithm in cuda.
☆3,200Aug 13, 2026Updated this week
Alternatives and similar repositories for how-to-optim-algorithm-in-cuda
Users that are interested in how-to-optim-algorithm-in-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:
- how to learn PyTorch and OneFlow☆500May 20, 2026Updated 2 months ago
- compiler learning resources collect.☆2,766May 20, 2026Updated 2 months ago
- Modern CUDA Learn Notes with PyTorch for Beginners, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.☆11,764Updated this week
- This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several…☆1,344Jul 29, 2023Updated 3 years ago
- Material for gpu-mode lectures☆6,441Jun 15, 2026Updated 2 months 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.
- FlashInfer: Kernel Library for LLM Serving☆6,159Updated this week
- 📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉☆5,451Updated this week
- A simple high performance CUDA GEMM implementation.☆437Jan 4, 2024Updated 2 years ago
- ☆2,792Jan 16, 2024Updated 2 years ago
- A Easy-to-understand TensorOp Matmul Tutorial☆450Mar 5, 2026Updated 5 months ago
- row-major matmul optimization☆750May 14, 2026Updated 3 months ago
- CUDA Templates and Python DSLs for High-Performance Linear Algebra☆10,250Updated this week
- Distributed Compiler based on Triton for Parallel Systems☆1,518Updated this week
- flash attention tutorial written in python, triton, cuda, cutlass☆532Jan 20, 2026Updated 6 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- My learning notes for ML SYS.☆6,865Updated this week
- Examples of CUDA implementations by Cutlass CuTe☆281Jul 1, 2025Updated last year
- learning how CUDA works☆400Mar 3, 2025Updated last year
- Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…☆565Sep 8, 2024Updated last year
- A self-learning tutorail for CUDA High Performance Programing.☆1,074Jan 14, 2026Updated 7 months ago
- 校招、秋招、春招、实习好项目！带你从零实现一个高性能的深度学习推理库，支持大模型 llama2 、Unet、Yolov5、Resnet等模型的推理。Implement a high-performance deep learning inference library st…☆3,495Jun 22, 2025Updated last year
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆7,215Updated this week
- High Performance LLM Inference Operator Library☆1,112Aug 6, 2026Updated last week
- AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术☆17,584Sep 3, 2025Updated 11 months ago
- 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.
- Xiao's CUDA Optimization Guide [NO LONGER ADDING NEW CONTENT]☆331Nov 8, 2022Updated 3 years ago
- Yinghan's Code Sample☆365Jul 25, 2022Updated 4 years ago
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆6,275Updated this week
- A fast communication-overlapping library for tensor/expert parallelism on GPUs.☆1,353Aug 28, 2025Updated 11 months ago
- 《Machine Learning Systems: Design and Implementation》 (V2 is launching soon）☆4,841Mar 15, 2026Updated 4 months ago
- LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalabili…☆4,226Updated this week
- DeepGEMM: clean and efficient BLAS kernel library on GPU☆7,677Updated this week
- Optimizing SGEMM kernel functions on NVIDIA GPUs to a close-to-cuBLAS performance.☆424Jan 2, 2025Updated last year
- Transformer related optimization, including BERT, GPT☆6,446Mar 27, 2024Updated 2 years ago
- 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.
- Sample codes for my CUDA programming book☆2,089Dec 14, 2025Updated 8 months ago
- Tile primitives for speedy kernels☆3,631Jul 13, 2026Updated last month
- ☆2,033Jul 29, 2023Updated 3 years ago
- CUDA 算子手撕与面试指南☆1,079Aug 23, 2025Updated 11 months ago
- FlagGems is an operator library for large language models implemented in the Triton Language.☆1,075Updated this week
- A CUDA tutorial to make people learn CUDA program from 0☆281Jul 9, 2024Updated 2 years ago
- Development repository for the Triton language and compiler☆19,942Updated this week