Hardware Acceleration for Deep Learning

Present Limits and Future Directions

Abstract

Deep learning neural models require hardware acceleration. The current thirst for this acceleration is exceeding current capabilities and reality. At current trends, by 2045, one half of the world’s electricity will be consumed by training deep learning models. This tutorial will cover background and a history of the field, the acceleration which is currently available, and what is expected in the future.