Programming Guide


Intel oneAPI Data Analytics Library (oneDAL)

Intel oneAPI Data Analytics Library (oneDAL) is a library that helps speed up big data analysis by providing highly optimized algorithmic building blocks for all stages of data analytics (preprocessing, transformation, analysis, modeling, validation, and decision making) in batch, online, and distributed processing modes of computation.
The library optimizes data ingestion along with algorithmic computation to increase throughput and scalability. It includes C++ and Java* APIs and connectors to popular data sources such as Spark* and Hadoop*. Python* wrappers for oneDAL are part of Intel Distribution for Python.
In addition to classic features, oneDAL provides DPC++ API extensions to the traditional C++ interface and enables GPU usage for some algorithms.
The library is particularly useful for distributed computation. It provides a full set of building blocks for distributed algorithms that are independent from any communication layer. This allows users to construct fast and scalable distributed applications using user-preferable communication means.
For general information, visit the oneDAL GitHub* page. The complete list of features and documentation are available at the official Intel oneAPI Data Analytics Library website. Free and open-source community-supported versions are available, as well as paid versions with premium support.

Product and Performance Information


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