feifeibear / swcaffe

A Deep Learning Framework customized for Sunway TaihuLight

swCaffe

A Parallel Deep Learning Framework for Sunway TaihuLight

Features

Optimized MPIAllreduce, 20x faster than default MPI
Load computations to swDNN and swGEMM.

Author

Jiarui Fang

Caffe

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors.

Check out the project site for all the details like

• DIY Deep Learning for Vision with Caffe
• Tutorial Documentation
• BAIR reference models and the community model zoo
• Installation instructions

and step-by-step examples.

Custom distributions

• Intel Caffe (Optimized for CPU and support for multi-node), in particular Xeon processors (HSW, BDW, Xeon Phi).
• OpenCL Caffe e.g. for AMD or Intel devices.
• Windows Caffe

Community

Please join the caffe-users group or gitter chat to ask questions and talk about methods and models. Framework development discussions and thorough bug reports are collected on Issues.

Happy brewing!

License and Citation

Caffe is released under the BSD 2-Clause license. The BAIR/BVLC reference models are released for unrestricted use.

Please cite Caffe in your publications if it helps your research:

@article{jia2014caffe,
  Author = {Jia, Yangqing and Shelhamer, Evan and Donahue, Jeff and Karayev, Sergey and Long, Jonathan and Girshick, Ross and Guadarrama, Sergio and Darrell, Trevor},
  Journal = {arXiv preprint arXiv:1408.5093},
  Title = {Caffe: Convolutional Architecture for Fast Feature Embedding},
  Year = {2014}
}

swcaffe's Issues

仓库中没有相应模型的代码

您好，readme.sw文件中使用说明:3.Run scripts: see models/ for examples ，但是仓库中没有模型的代码，可以提供该部分的代码吗？

能否告知swcaffe的安装方法？

您好！对这方面安装不是很清楚，swcaffe文件夹已经在远端目录了，请问该怎么安装和使用swcaffe？不胜感激！