oneAPI Data Analytics Library (oneDAL; formerly Intel Data Analytics Acceleration Library or Intel DAAL), is a library of optimized algorithmic building blocks for data analysis stages most commonly associated with solving Big Data problems.[4][5][6][7]
Developer(s) | Intel |
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Initial release | August 25, 2015 |
Stable release | 2021 Update 4
/ 2021[1] |
Repository |
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Written in | C++, Java, Python[2] |
Operating system | Microsoft Windows, Linux, macOS[2] |
Platform | Intel Atom, Intel Core, Intel Xeon[2] |
Type | Library or framework |
License | Apache License 2.0[3] |
Website | software |
The library supports Intel processors and is available for Windows, Linux and macOS operating systems.[2] The library is designed for use popular data platforms including Hadoop, Spark, R, and MATLAB.[4][8]
Intel launched the Intel Data Analytics Library(oneDAL) on December 8, 2020. It also launched the Data Analytics Acceleration Library on August 25, 2015 and called it Intel Data Analytics Acceleration Library 2016 (Intel DAAL 2016).[9] oneDAL is bundled with Intel oneAPI Base Toolkit as a commercial product. A standalone version is available commercially or freely,[3][10] the only difference being support and maintenance related.
Apache License 2.0
Intel DAAL has the following algorithms:[11][4][12]
Intel DAAL supported three processing modes: