Horovod (machine learning): Difference between revisions

Horovod
Developer(s)	Uber
Initial release	August 9, 2017; 6 years ago
Stable release	v0.19.5 / May 6, 2020; 4 years ago
Repository	github.com/horovod/horovod/
Written in	Python, C++, CUDA
Platform	Linux, macOS, Windows
Type	Artificial intelligence ecosystem
License	Apache License 2.0
Website	eng.uber.com/horovod/

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Revision as of 02:18, 10 July 2020

Horovod is a free and open-source software framework for distributed deep learning training using TensorFlow, Keras, PyTorch, and Apache MXNet. Horovod is hosted under the Linux Foundation AI (LF AI).^[3] Horovod has the goal of improving the speed, scale, and resource allocation when training a machine learning model^[4]

Features

References

^ Alex Sergeev (August 9, 2017). "Release v0.9.0 · horovod/horovod". horovod. Retrieved July 9, 2020. Initial release
^ "Releases · horovod/horovod". horovod. Retrieved July 9, 2020.
^ Khari Johnson (December 13, 2018). "Uber brings Horovod project for distributed deep learning to Linux Foundation". VentureBeat. Retrieved July 9, 2020.
^ "Projects - LF AI". Linux Foundation - LF AI. Retrieved July 9, 2020. Horovod, a distributed training framework for TensorFlow, Keras and PyTorch, improves speed, scale and resource allocation in machine learning training activities. Uber uses Horovod for self-driving vehicles, fraud detection, and trip forecasting. It is also being used by Alibaba, Amazon and NVIDIA.

External links

Official website
horovod on GitHub

This artificial intelligence-related article is a stub. You can help Wikipedia by expanding it.

[1] Alex Sergeev (August 9, 2017). "Release v0.9.0 · horovod/horovod". horovod. Retrieved July 9, 2020. Initial release

[horovodreleases-2] "Releases · horovod/horovod". horovod. Retrieved July 9, 2020.

[vent_Uber-3] Khari Johnson (December 13, 2018). "Uber brings Horovod project for distributed deep learning to Linux Foundation". VentureBeat. Retrieved July 9, 2020.

[lfai_Proj-4] "Projects - LF AI". Linux Foundation - LF AI. Retrieved July 9, 2020. Horovod, a distributed training framework for TensorFlow, Keras and PyTorch, improves speed, scale and resource allocation in machine learning training activities. Uber uses Horovod for self-driving vehicles, fraud detection, and trip forecasting. It is also being used by Alibaba, Amazon and NVIDIA.

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 {{compu-ai-stub}}

v t e Deep learning software
Comparison
Open source	Apache MXNet Apache SINGA Caffe Deeplearning4j DeepSpeed Dlib Keras Microsoft Cognitive Toolkit ML.NET OpenNN PyTorch TensorFlow Theano Torch ONNX OpenVINO MindSpore
Proprietary	Apple Core ML IBM Watson Neural Designer Wolfram Mathematica MATLAB Deep Learning Toolbox
Category

Revision as of 02:18, 10 July 2020

Features

See also

References

External links