Accelerate Machine Learning and Data Science with oneDAL

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Overview

This video gives an overview of the Intel® oneAPI Data Analytics Library (oneDAL), including:

  • Practical applications
  • How it helps accelerate an end-to-end data analytics workflow
  • Results of implementing the library's optimized version of K-means clustering (an unsupervised machine learning algorithm to group similar unlabeled data points)

Learn about the two major component APIs of oneDAL:

  • The C++ legacy API (Intel® Data Analytics Acceleration Library) interfaces that are specific to CPUs
  • The C++ with SYCL*-based oneAPI interfaces that are designed for GPU-focused implementations (though they are also supported on CPUs)

Each of these APIs provides optimized machine learning algorithms and data analytics methods.

 

Featured Software

Get the stand-alone version of oneDAL or as part of the Intel® oneAPI Base Toolkit—a core set of tools and libraries for developing high-performance, data-centric applications across diverse architectures.
 

Additional Resources

oneDAL Documentation

oneDAL Code Samples (GitHub*)

Intel® oneAPI Data Analytics Library (oneDAL)

Deploy compute-intense data science applications on CPUs and GPUs with algorithm functions including analysis, math, and training and library prediction.

 

 

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