Achieving High-Performance Computing with The Intel® Distribution for Python*

Overview

Python* has become instrumental tool for those looking for a high productivity language for a variety of programming tasks including advanced numerical work. Learn how Intel brings high performance, easy accessibility, and integrated workflow to Python* in numerical, scientific, and machine learning space. We will compare and contrast Intel-optimized NumPy, SciPy, and scikit-learn, and learn about pyDAAL (Python APIs to Intel® Data Analytics Acceleration Library) with examples.

Product and Performance Information

1

Intel's compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice.

Notice revision #20110804