Intel(R) Data Analytics Acceleration Library
Project description
Python bindings to Intel® Data Analytics Acceleration Library -- optimized building blocks for all data analytics stages, from data preparation to data mining & machine learning. Optimizes data ingestion and algorithmic compute together for the highest performance. Supports offline, streaming, and distributed usage models to meet a range of application needs. Highly tuned for efficient data layout, blocking, multi-threading, vectorization -- helping applications deliver better predictions faster, and enabling analysis of larger data sets with the same compute resources.
One of many Intel® accelerated Python packages and performance library runtimes available on PyPI, and as part of Intel® Distribution for Python.
For latest release updates and security notifications, please subscribe to the Intel® Distribution for Python Community forum.
Free to use and redistribute pursuant to the Intel Simplified Software License.
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