Empowering Science with High-Performance Python*

By David A Liu, Published: 08/28/2018, Last Updated: 08/28/2018

Python has become a pervasive and useful tool in advancing scientific research and computation. Python has a very rich ecosystem of open source packages for mathematics, science, and engineering, anchored on the performant numerical computation on arrays and matrices, data analysis and visualization capabilities, and an interactive development environment that enables rapid and collaborative iteration of ideas. Python is used to discover new objects in space, calculate thermodynamics, conduct genomic analysis of cancer, estimate the likehood of earthquakes, simulate musculoskeletal systems, visualize astroid chemistries, and much more.

Intel®’s accelerated Python packages enable scientists to take advantage of the productivity of Python, while taking advantage of the ever-increasing performance of modern hardware. Intel®’s optimized implementations of NumPy and SciPy leverage the Intel® Math Kernel Library to achieve highly efficient multi-threading, vectorization, and memory management. Intel®’s optimized implementation of mpi4py leverages the Intel® MPI Library to scale scientific computation efficiently across a cluster. These are all drop-in performance enhancements to existing Python code to enable faster processing of larger scientific data sets – to enable new discoveries on billions of galaxies or billions of atoms.

Get started now. Download the latest Intel® Distribution for Python or select pip/conda packages.

Product and Performance Information


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.

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