Many modern processors, including features we’ll describe with upcoming Intel processors, provide acceleration on machine learning applications. But how can some of these features be leveraged for modern HPC?

This talk will review theory, performance and future research for using instructions and techniques originally developed with only machine learning in mind to do HPC faster and yet still maintain accuracy and convergence properties.