Intel Performance Libraries Accelerate Python Performance for HPC and Data Science
by Richard Friedman from High-Performance Computing News Analysis | insideHPC on (#3Z3PD)
Python is now the most popular programming language, according to IEEE Spectrum's fifth annual interactive ranking of programming languages, ahead of C++ and C. Recent Intel Distributions for Python show that real HPC performance can be achieved with compilers and library packages optimized for the latest Intel architectures. Moreover, the library packages targeted for big data analysis and numerical computation included in this distribution now support scaling for multi-core and many-core processors as well as distributed cluster and cloud infrastructures.
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