InfiniTensor / RefactorGraphLinks
分层解耦的深度学习推理引擎
☆76Updated 8 months ago
Alternatives and similar repositories for RefactorGraph
Users that are interested in RefactorGraph are comparing it to the libraries listed below
Sorting:
- 使用 CUDA C++ 实现的 llama 模型推理框架☆62Updated 11 months ago
- ☆261Updated last week
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆121Updated 5 months ago
- ☆141Updated last year
- ☆21Updated 4 years ago
- CUDA 6大并行计算模式 代码与笔记☆61Updated 5 years ago
- A tutorial for CUDA&PyTorch☆158Updated 9 months ago
- 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
- Tutorials for writing high-performance GPU operators in AI frameworks.☆132Updated 2 years ago
- Machine Learning Compiler Road Map☆45Updated 2 years ago
- 使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention☆76Updated last year
- ☆109Updated 6 months ago
- A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer☆94Updated last month
- ☆27Updated last year
- hands on model tuning with TVM and profile it on a Mac M1, x86 CPU, and GTX-1080 GPU.☆50Updated 2 years ago
- Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.☆41Updated 7 months ago
- ☆14Updated 7 months ago
- CUDA SGEMM optimization note☆15Updated last year
- play gemm with tvm☆92Updated 2 years ago
- Triton Compiler related materials.☆35Updated 9 months ago
- 大规模并行处理器编程实战 第二版答案☆33Updated 3 years ago
- ☆107Updated 5 months ago
- ☆17Updated last year
- Standalone Flash Attention v2 kernel without libtorch dependency☆112Updated last year
- b站上的课程☆76Updated 2 years ago
- ☆98Updated 4 years ago
- Triton adapter for Ascend. Mirror of https://gitee.com/ascend/triton-ascend☆76Updated 3 weeks ago
- ☆115Updated last year
- ☆70Updated 2 years ago
- ☆37Updated last year