Moscow State University (MSU) recently released its 2015 HEVC/H.265 Video Codec Comparison report with Intel® Media Server Studio’s HEVC codec showing significant competitive advantages in the Fast Transcoding category. For more details about these insights and other comparisons in the study, download the MSU 2015 HEVC/H.265 Video Codecs Comparison. (Both free and paid Pro versions are available.)
I can. And if you read this post you will also be able to write one, too. (Might be a cool party trick or a sucker bet to make a little cash.)
Python* is a popular open-source scripting language known for its easy-to-learn syntax and active developer community.
As I mentioned in my previous post about writing a vectorized reduction code from Intel vector intrinsics, that part of the code was just the finishing touch on a loop computing squared difference of complex values.
My current gig is mostly about performance. I manage a group of software engineers dedicated to the languages becoming really important to the cloud and the datacenter.
Intel® Parallel Studio XE is a very popular product from Intel that includes the Intel® Compilers, Intel® Performance Libraries, tools for analysis, debugging and tuning, tools for MPI and the Intel® MPI Library. Did you know that some of these are available for free? Here is a guide to “what is available free” from the Intel Parallel Studio XE suites.
This paper demonstrates a special version of Caffe* — a deep learning framework originally developed by the Berkeley Vision and Learning Center (BVLC) — that is optimized for Intel® architecture.
Get recipes for installing development tools and libraries on various platforms for the Python library.
This case study examines the situation where the problem decomposition is the same for threading as it is for Message Passing Interface* (MPI); that is, the threading parallelism is elevated to the same level as MPI parallelism.
The unfairness of good syntax - bad syntax is a problem; good syntax is not a solution.