weishengying / tiny-flash-attentionLinks
使用 cutlass 实现 flash-attention 精简版,具有教学意义
☆52Updated 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☆78Updated last year
- ☆20Updated last year
- ☆112Updated 7 months ago
- ☆49Updated last year
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆44Updated 10 months ago
- ☆152Updated last year
- ☆61Updated 5 months ago
- ☆104Updated last year
- Examples of CUDA implementations by Cutlass CuTe☆266Updated 6 months ago
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆142Updated 8 months ago
- Optimize softmax in triton in many cases☆21Updated last year
- 使用 CUDA C++ 实现的 llama 模型推理框架☆63Updated last year
- Benchmark code for the "Online normalizer calculation for softmax" paper☆105Updated 7 years ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆96Updated 4 months ago
- ☆158Updated 2 months ago
- ☆141Updated last year
- ☆119Updated 9 months ago
- Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.☆70Updated last year
- NVSHMEM‑Tutorial: Build a DeepEP‑like GPU Buffer☆152Updated 3 months ago
- ☆144Updated last year
- ☆33Updated 11 months ago
- Implement Flash Attention using Cute.☆100Updated last year
- CUDA 8-bit Tensor Core Matrix Multiplication based on m16n16k16 WMMA API☆35Updated 2 years ago
- From Minimal GEMM to Everything☆95Updated 2 weeks ago
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆191Updated 11 months ago
- 🤖FFPA: Extend FlashAttention-2 with Split-D, ~O(1) SRAM complexity for large headdim, 1.8x~3x↑🎉 vs SDPA EA.☆242Updated last month
- Multiple GEMM operators are constructed with cutlass to support LLM inference.☆20Updated 5 months ago
- Optimize GEMM with tensorcore step by step☆36Updated 2 years ago
- High performance RMSNorm Implement by using SM Core Storage(Registers and Shared Memory)☆25Updated this week
- play gemm with tvm☆93Updated 2 years ago