One of the big surprises of the past few years has been the spectacular rise in the use of Python* in high-performance computing applications. With the latest releases of Intel® Distribution for Python, included in Intel® Parallel Studio XE 2019, the numerical and scientific computing capabilities of high-performance Python now extends to machine learning and data analytics.
Intel Performance Libraries Accelerate Python Performance for HPC and Data Science
September 19, 2018 by
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.
Intel Parallel Studio XE 2018 Released
September 14, 2017 by
Intel has announced the release of Intel® Parallel Studio XE 2018, with updated compilers and developer tools. It is now available for downloading on a 30-day trial basis. ” This week’s formal release of the fully supported product is notable with new features that further enhance the toolset for accelerating HPC applications.”
IA Optimized Python Rocks in Production
January 13, 2017 by
“Intel recently announced the first product release of its High Performance Python distribution powered by Anaconda. The product provides a prebuilt easy-to-install Intel Architecture (IA) optimized Python for numerical and scientific computing, data analytics, HPC and more. It’s a free, drop in replacement for existing Python distributions that requires no changes to Python code. Yet benchmarks show big Intel Xeon processor performance improvements and even bigger Intel Xeon Phi processor performance improvements.”
