InfiniTensor / RefactorGraph
分层解耦的深度学习推理引擎
☆72Updated last month
Alternatives and similar repositories for RefactorGraph:
Users that are interested in RefactorGraph are comparing it to the libraries listed below
- ☆227Updated last month
- 使用 CUDA C++ 实现的 llama 模型推理框架☆48Updated 4 months ago
- ☆113Updated last year
- hands on model tuning with TVM and profile it on a Mac M1, x86 CPU, and GTX-1080 GPU.☆45Updated last year
- Tutorials for writing high-performance GPU operators in AI frameworks.☆129Updated last year
- CUDA 6大并行计算模式 代码与笔记☆60Updated 4 years ago
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆177Updated last month
- ☆70Updated 2 years ago
- Examples of CUDA implementations by Cutlass CuTe☆145Updated last month
- ☆109Updated 11 months ago
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆59Updated 2 weeks ago
- play gemm with tvm☆89Updated last year
- ☆82Updated last year
- ☆35Updated 5 months ago
- Implement Flash Attention using Cute.☆71Updated 3 months ago
- CUDA SGEMM optimization note☆13Updated last year
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆89Updated 3 weeks ago
- ☆145Updated 2 months ago
- DGEMM on KNL, achieve 75% MKL☆16Updated 2 years ago
- b站上的课程☆71Updated last year
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆60Updated 7 months ago
- A light llama-like llm inference framework based on the triton kernel.☆97Updated last week
- A tutorial for CUDA&PyTorch☆128Updated 2 months ago
- ☆42Updated 2 months ago
- Machine Learning Compiler Road Map☆43Updated last year
- Several optimization methods of half-precision general matrix vector multiplication (HGEMV) using CUDA core.☆57Updated 6 months ago
- ☆95Updated 3 years ago
- Standalone Flash Attention v2 kernel without libtorch dependency☆106Updated 6 months ago
- 解读cudnn文档,掌握其用法☆16Updated 10 months ago