uxlfoundation/oneCCL

oneAPI Collective Communications Library (oneCCL)

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Established

This tool helps machine learning engineers and researchers accelerate the training of deep learning models across multiple processors or machines. It takes a deep learning model and training data, efficiently distributing the communication tasks to speed up the learning process, and outputs a faster-trained model. It is designed for those working with large-scale distributed deep learning.

257 stars.

Use this if you are a machine learning engineer or researcher looking to significantly reduce the training time of your deep learning models by distributing the workload efficiently across multiple computational devices or nodes.

Not ideal if you are working with small datasets or single-device training, as the overhead of distributed communication may not provide a significant benefit.

deep-learning-training distributed-ai machine-learning-optimization gpu-acceleration high-performance-computing

No Package No Dependents

Maintenance 10 / 25

Adoption 10 / 25

Maturity 16 / 25

Community 24 / 25

How are scores calculated?

Stars

257

Forks

Language

C++

License

—

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oneCCL and oneDAL

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