No idea -- I don't know much of anything about machine learning or neural network algorithms or the like. If they involve working with matrices, then this stuff is applicable.Very cool, will this technology be integrated into Machine Learning applications as it seems its geared for matrix operations doing parallel adds like that.
This article is the first in a series of five or more. What I covered in the first article is a bit of background history and a very simple example, for which lots of documentation and examples already exist. In the next few articles I plan to talk about other AVX-512 instructions for which 1) the Intel documentation is very minimal, and 2) there are no usage examples online (if there are any, I couldn't find them after long searches), let alone videos.Also I found some videos on Youtube covering the topic in more detail for those of us who are reading challenged.
LOL! There are zero API help tips that pop up in my VS IDE. Maybe the Intel C/C++ compiler has them, or maybe not - don't know 'cause I don't have that compiler. I'm reasonably sure they don't pop up in the Gnu compiler, either. That's why I keep the PDF of the Intel Software Developer's Manual open when I'm writing that code.where little api help tips pop up
It occurred to me later that one of the parts of AVX-512 is VNNI, or Vector Neural Network Instructions. It isn't here now, but is slated to be released with the Ice Lake microarchitecture, the 10th gen Core architecture. The release is slated for sometime this year or next.will this technology be integrated into Machine Learning applications