Speeding Up AI With Vector Instructions

Uses, challenges and tradeoffs in working with vector engines.

Semiconductor Engineering

 

A search is underway across the industry to find the best way to speed up machine learning applications, and optimizing hardware for vector instructions is gaining traction as a key element in that effort.
Vector instructions are a class of instructions that enable parallel processing of data sets. An entire array of integers or floating point numbers is processed in a single operation, eliminating the loop control mechanism typically found in processing arrays. That, in turn, improves both performance and power efficiency…

To read the full Semiconductor Engineering article by Ann Steffora Mutschler, click here.

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