Data Orchestration in Deep Learning Accelerators

by Angshuman Parashar, Hyoukjun Kwon, Tushar Krishna

Book Overview

This Synthesis Lecture focuses on techniques for efficient data orchestration within DNN accelerators. The End of Moore's Law, coupled with the increasing growth in deep learning and other AI applications has led to the emergence of custom Deep Neural Network (DNN) accelerators for energy-efficient inference on edge devices. Modern DNNs have millions of hyper parameters and involve billions of computations; this necessitates extensive data movement...

• Format: Paperback
• Language: English
• ISBN: 3031006399
• ISBN13: 9783031006395
• Release Date: August 2020
• Publisher: Springer
• Length: 146 Pages
• Weight: 0.66 lbs.
• Dimensions: 0.4" x 7.5" x 9.3"