Description: Deep Learning for Computer Architects, Paperback by Reagen, Brandon; Adolf, Robert; Whatmough, Paul; Wei, Gu-yeon; Brooks, David, ISBN 3031006283, ISBN-13 9783031006289, Like New Used, Free shipping in the US Machine learning, and specifically deep learning, has been hugely disruptive in many fields of computer science. The success of deep learning techniques in solving notoriously difficult classification and regression problems has resulted in their rapid adoption in solving real-world problems. The emergence of deep learning is widely attributed to a virtuous cycle whereby fundamental advancements in training deeper models were enabled by the availability of massive datasets and high-performance computer hardware. This text serves as a primer for computer architects in a new and rapidly evolving field. We review how machine learning has evolved since its inception in the 1960s and track the key developments leading up to the emergence of the powerful deep learning techniques that emerged in the last decade. Next we review representative workloads, including the most commonly used datasets and seminal networks across a variety of domains. In addition to discussing the workloads themselves, we also detail the most popular deep learning tools and show how aspiring practitioners can use the tools with the workloads to characterize and optimize DNNs. The remainder of th is dedicated to the design and optimization of hardware and architectures for machine learning. As high-performance hardware was so instrumental in the success of machine learning becoming a practical solution, this chapter recounts a variety of optimizations proposed recently to further improve future designs. Finally, we present a review of recent research published in the area as well as a taxonomy to help readers understand how various contributions fall in context.
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Original Language: English
Book Title: Deep Learning for Computer Architects
Number of Pages: Xiv, 109 Pages
Language: English
Publisher: Springer International Publishing A&G
Topic: Systems Architecture / General, Electronics / Circuits / General
Publication Year: 2017
Illustrator: Yes
Genre: Computers, Technology & Engineering
Item Weight: 8.8 Oz
Author: Paul Whatmough, Brandon Reagen, Robert Adolf, David Brooks, Gu-Yeon Wei
Item Length: 9.3 in
Item Width: 7.5 in
Book Series: Synthesis Lectures on Computer Architecture Ser.
Format: Trade Paperback
