使用 cutlass 实现 flash-attention 精简版,具有教学意义
☆58Aug 12, 2024Updated last year
Alternatives and similar repositories for tiny-flash-attention
Users that are interested in tiny-flash-attention are comparing it to the libraries listed below
Sorting:
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆79Aug 12, 2024Updated last year
- ☆22Aug 14, 2024Updated last year
- GEMV implementation with CUTLASS☆19Aug 21, 2025Updated 6 months ago
- flash attention tutorial written in python, triton, cuda, cutlass☆488Jan 20, 2026Updated last month
- 使用 CUDA C++ 实现的 llama 模型推理框架☆64Nov 8, 2024Updated last year
- Flash Attention in ~100 lines of CUDA (forward pass only)☆11Jun 10, 2024Updated last year
- A practical way of learning Swizzle☆37Feb 3, 2025Updated last year
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆44Feb 27, 2025Updated last year
- ☆116May 16, 2025Updated 9 months ago
- ☆14Nov 3, 2025Updated 4 months ago
- ☆49Apr 15, 2024Updated last year
- ☆42Nov 1, 2025Updated 4 months ago
- ☆262Jul 11, 2024Updated last year
- Examples of CUDA implementations by Cutlass CuTe☆269Jul 1, 2025Updated 8 months ago
- Multiple GEMM operators are constructed with cutlass to support LLM inference.☆20Aug 3, 2025Updated 7 months ago
- ☆62Feb 15, 2026Updated 2 weeks ago
- SGEMM optimization with cuda step by step☆21Mar 23, 2024Updated last year
- Awesome code, projects, books, etc. related to CUDA☆31Feb 3, 2026Updated last month
- 大规模并行处理器编程实战 第二版答案☆35Jun 4, 2022Updated 3 years ago
- Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.☆46Jun 11, 2025Updated 8 months ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆96Feb 20, 2026Updated last week
- Inference deployment of the llama3☆11Apr 21, 2024Updated last year
- ☆168Feb 5, 2026Updated last month
- Optimize softmax in triton in many cases☆23Sep 6, 2024Updated last year
- ☆72Jan 6, 2025Updated last year
- An experimental communicating attention kernel based on DeepEP.☆35Jul 29, 2025Updated 7 months ago
- ☆26Aug 15, 2023Updated 2 years ago
- Standalone Flash Attention v2 kernel without libtorch dependency☆114Sep 10, 2024Updated last year
- Matrix Multiply-Accumulate with CUDA and WMMA( Tensor Core)☆144Aug 18, 2020Updated 5 years ago
- ☆30Nov 16, 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…☆1,244Jul 29, 2023Updated 2 years ago
- Several optimization methods of half-precision general matrix multiplication (HGEMM) using tensor core with WMMA API and MMA PTX instruct…☆526Sep 8, 2024Updated last year
- SpInfer: Leveraging Low-Level Sparsity for Efficient Large Language Model Inference on GPUs☆60Mar 25, 2025Updated 11 months ago
- let coding agents use ncu skills analysis cuda program automatically!☆47Feb 5, 2026Updated 3 weeks ago
- Implementation of a histogram equalization program using CUDA. Histogram equalization is a technique for adjusting image intensities to e…☆13Jan 3, 2021Updated 5 years ago
- This is a repository to practice multi-thread programming in C++☆28Feb 21, 2024Updated 2 years ago
- CUDA 8-bit Tensor Core Matrix Multiplication based on m16n16k16 WMMA API☆35Sep 15, 2023Updated 2 years ago
- paper-read-notes☆13Sep 26, 2024Updated last year
- Flash Attention in raw Cuda C beating PyTorch☆37May 14, 2024Updated last year