OneAPI Deep Neural Network Library
| Repository | github |
|---|---|
| Engine | |
| Operating system | Microsoft Windows, Linux, macOS |
| Platform | Cross-platform |
| Type | Open-source Library |
| Website | spec |
Search OneAPI Deep Neural Network Library on Amazon.
oneAPI Deep Neural Network Library (oneDNN) is a performance library of basic building blocks for deep learning applications.[1] oneDNN is an open-source and cross-platform library element of oneAPI[2][3].
oneDNN is useful for deep learning application and framework developers to improve application performance [4][5][6]using the same API for both CPUs and GPUs. It abstracts out the specific instruction set and other complexities of performance optimizations. The oneDNN library is available for Windows, Linux and macOS operating systems.
oneDNN provides optimizations for popular deep learning frameworks including:
History[edit]
- oneDNN started as the Deep Neural Networks (DNN) component of Intel MKL library first released in Intel MKL 2017.
- Considering fast development in the field and opportunity for industry collaboration Intel launched an open source project named Intel MKL-DNN on August 28, 2016.
- The Intel MKL DNN component was deprecated in Intel MKL 2019 and removed in Intel MKL 2020.
- MKL-DNN reached production maturity with MKL-DNN v1.0 on Jul 12, 2019.
- Arm contributed support for AArch64 processors in oneDNN v1.5
- The library became a part of oneAPI initiative and renamed to oneDNN in oneDNN v2.0 on Dec 8, 2020.
- Intel branded the binary distribution Intel® oneAPI Deep Neural Network Library (oneDNN) launched as part of Intel® oneAPI 2021 release.
- Codeplay contributed support for NVIDIA GPUs in oneDNN v2.1
License[edit]
Apache License 2.0
References[edit]
- ↑ "oneAPI Deep Neural Network Library". oneAPI.
- ↑ "oneAPI".
- ↑ Deep Learning Systems. Google Books: Morgan & Claypool Publishers. ISBN 9781681739670. Search this book on
- ↑ "oneDNN benchmarks". openbenchmarking.
- ↑ "Developing Deep Learning Frameworks for Exascale". HPC Wire.
- ↑ "Optimizing Inference Performance of Transformers on CPUs" (PDF). arXiv. Cornell University.
- ↑ "TensorFlow and oneDNN in Partnership" (PDF). oneAPI.
- ↑ "Optimize the Latest Deep Learning Workloads using Intel-optimized PyTorch". Argonne Leadership Computing Facility.
External links[edit]
- oneAPI industry specification
- oneAPI oneDNN specification
- developer guide explains the programming model, functionality, and implementation details, and includes examples
- oneDNN API reference provides a comprehensive reference of the library API.
- Intel® oneAPI Deep Neural Network Library
This article "OneAPI Deep Neural Network Library" is from Wikipedia. The list of its authors can be seen in its historical and/or the page Edithistory:OneAPI Deep Neural Network Library. Articles copied from Draft Namespace on Wikipedia could be seen on the Draft Namespace of Wikipedia and not main one.
