weishengying / cutlass_flash_atten_fp8Links
使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention
☆75Updated last year
Alternatives and similar repositories for cutlass_flash_atten_fp8
Users that are interested in cutlass_flash_atten_fp8 are comparing it to the libraries listed below
Sorting:
- ☆103Updated 3 months ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆94Updated last week
- ☆98Updated last year
- Implement Flash Attention using Cute.☆95Updated 8 months ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆40Updated 6 months ago
- ☆15Updated last year
- ☆41Updated last year
- ☆55Updated last month
- Standalone Flash Attention v2 kernel without libtorch dependency☆110Updated last year
- 使用 cutlass 实现 flash-attention 精简版,具有教学意义☆46Updated last year
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆109Updated 4 months ago
- Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.☆64Updated last year
- ☆108Updated 5 months ago
- ☆132Updated 9 months ago
- ☆150Updated 8 months ago
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆183Updated 7 months ago
- Benchmark code for the "Online normalizer calculation for softmax" paper☆98Updated 7 years ago
- Examples of CUDA implementations by Cutlass CuTe☆229Updated 2 months ago
- Tutorials of Extending and importing TVM with CMAKE Include dependency.☆14Updated 11 months ago
- play gemm with tvm☆91Updated 2 years ago
- A GPU-optimized system for efficient long-context LLMs decoding with low-bit KV cache.☆58Updated last week
- llama INT4 cuda inference with AWQ☆54Updated 7 months ago
- Optimize GEMM with tensorcore step by step☆32Updated last year
- ☆63Updated 4 months ago
- ☆13Updated 6 months ago
- NVSHMEM‑Tutorial: Build a DeepEP‑like GPU Buffer☆60Updated this week
- ☆32Updated 7 months ago
- CUDA 8-bit Tensor Core Matrix Multiplication based on m16n16k16 WMMA API☆32Updated last year
- Multiple GEMM operators are constructed with cutlass to support LLM inference.☆19Updated last month
- ☆28Updated 5 months ago