This sponsored post covers how Intel Performance Libraries are working to ramp up python performance. Surprise! Python* is now the most popular programming language, according to IEEE Spectrum’s fifth ...

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 ...

for accelerated computational performance on Intel processors. The Intel Distribution for Python Technical Preview supports Python 2.7 and 3.5 (beta 1), and it includes NumPy and SciPy ...

With a common distribution for the Open Data Science community that increases Python and R performance up to 100X, Intel has empowered enterprises to build a new generation of intelligent applications ...

You love the performance and getting the core packages The Beta for Intel® Distribution for Python* 2017 has been available for 1 month and I wanted to share some of our experiences.

Looking for a Linux distribution ... for Intel CPU architecture The rolling distro captured victories in every category from audio + video encoding to OpenGL and graphics benchmarks, to Python ...

MPI is widely used in the High Performance Computing ... type of communication is much faster than Python objects communication type. Intel® Distribution for Python* is a binary distribution ...

announced today the inclusion of Intel's Machine Kernel Library (MKL) Performance-Optimizations for data science and machine learning Python packages in ActivePython 2.7.13 and ActivePython 3.5.3 ...

With a common distribution for the Open Data Science community that increases Python and R performance up to 100X, Intel has empowered enterprises to build a new generation of intelligent ...