weishengying / tiny-flash-attentionLinks
使用 cutlass 实现 flash-attention 精简版,具有教学意义
☆49Updated 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:
- ☆17Updated last year
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆75Updated last year
- ☆106Updated 4 months ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆40Updated 7 months ago
- ☆43Updated last year
- ☆150Updated 8 months ago
- ☆135Updated 9 months ago
- Examples of CUDA implementations by Cutlass CuTe☆236Updated 3 months ago
- ☆139Updated last year
- ☆98Updated last year
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆94Updated 3 weeks ago
- 使用 CUDA C++ 实现的 llama 模型推理框架☆62Updated 10 months ago
- ☆56Updated 2 months ago
- ☆109Updated 6 months ago
- ☆141Updated last year
- Optimize softmax in triton in many cases☆21Updated last year
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆118Updated 4 months ago
- Benchmark code for the "Online normalizer calculation for softmax" paper☆101Updated 7 years ago
- Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.☆67Updated last year
- NVSHMEM‑Tutorial: Build a DeepEP‑like GPU Buffer☆130Updated 2 weeks ago
- Implement Flash Attention using Cute.☆95Updated 9 months ago
- ☆69Updated 8 months ago
- play gemm with tvm☆91Updated 2 years ago
- Optimize GEMM with tensorcore step by step☆32Updated last year
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆186Updated 8 months ago
- ☆37Updated 11 months ago
- llm theoretical performance analysis tools and support params, flops, memory and latency analysis.☆108Updated 2 months ago
- Multiple GEMM operators are constructed with cutlass to support LLM inference.☆19Updated 2 months ago
- 🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.☆219Updated last month
- CUDA 8-bit Tensor Core Matrix Multiplication based on m16n16k16 WMMA API☆32Updated 2 years ago