rlugojr / multiverso

Parameter server framework for distributed machine learning

Multiverso

Multiverso is a parameter server based framework for training machine learning models on big data with numbers of machines. It is currently a standard C++ library and provides a series of friendly programming interfaces, and it is extended to support calling from python and Lua programs. With such easy-to-use APIs, machine learning researchers and practitioners do not need to worry about the system routine issues such as distributed model storage and operation, inter-process and inter-thread communication, multi-threading management, and so on. Instead, they are able to focus on the core machine learning logics: data, model, and training.

For more details, please view our website http://www.dmtk.io.

Build

Linux (Tested on Ubuntu 14.04)

sudo apt-get install libopenmpi-dev openmpi-bin build-essential cmake git
git clone https://github.com/Microsoft/multiverso.git && cd multiverso
mkdir build && cd build
cmake .. && make && sudo make install

Windows

Open the Multiverso.sln with Visual Studio 2013 and build.

Related Projects

Current distributed systems based on multiverso:

• lightLDA: Scalable, fast, lightweight system for large scale topic modeling
• distributed_word_embedding Distributed system for word embedding
• distributed_word_embedding(deprecated) Distributed system for word embedding
• distributed_skipgram_mixture(deprecated) Distributed skipgram mixture for multi-sense word embedding

Microsoft Open Source Code of Conduct

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.