Artificial intelligence hardware design : challenges and solutions (Record no. 33815)

000 -LEADER
fixed length control field a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250316b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119810452
Terms of availability (hbk)
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Item number LIU
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Liu, Albert Chun-Chen
245 ## - TITLE STATEMENT
Title Artificial intelligence hardware design : challenges and solutions
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Wiley-IEEE Press,
Date of publication, distribution, etc 2021
Place of publication, distribution, etc Hoboken :
300 ## - PHYSICAL DESCRIPTION
Extent xxii, 208 p. ;
Other physical details ill.,(b & w),
Dimensions 24 cm.
365 ## - TRADE PRICE
Price amount 118.95
Price type code $
Unit of pricing 90.60
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc ARTIFICIAL INTELLIGENCE HARDWARE DESIGN Learn foundational and advanced topics in Neural Processing Unit design with real-world examples from leading voices in the field In Artificial Intelligence Hardware Design: Challenges and Solutions , distinguished researchers and authors Drs. Albert Chun Chen Liu and Oscar Ming Kin Law deliver a rigorous and practical treatment of the design applications of specific circuits and systems for accelerating neural network processing. Beginning with a discussion and explanation of neural networks and their developmental history, the book goes on to describe parallel architectures, streaming graphs for massive parallel computation, and convolution optimization. The authors offer readers an illustration of in-memory computation through Georgia Tech's Neurocube and Stanford's Tetris accelerator using the Hybrid Memory Cube, as well as near-memory architecture through the embedded eDRAM of the Institute of Computing Technology, the Chinese Academy of Science, and other institutions. Readers will also find a discussion of 3D neural processing techniques to support multiple layer neural networks, as well as information like: A thorough introduction to neural networks and neural network development history, as well as Convolutional Neural Network (CNN) models Explorations of various parallel architectures, including the Intel CPU, Nvidia GPU, Google TPU, and Microsoft NPU, emphasizing hardware and software integration for performance improvement Discussions of streaming graph for massive parallel computation with the Blaize GSP and Graphcore IPU An examination of how to optimize convolution with UCLA Deep Convolutional Neural Network accelerator filter decomposition Perfect for hardware and software engineers and firmware developers, Artificial Intelligence Hardware Design is an indispensable resource for anyone working with Neural Processing Units in either a hardware or software capacity.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence
Topical term or geographic name as entry element Computer Design and Construction
Topical term or geographic name as entry element Parallel architectures
Topical term or geographic name as entry element Streaming graphs
Topical term or geographic name as entry element Convolution optimization
Topical term or geographic name as entry element In-memory computation
Topical term or geographic name as entry element Nea-memory Architecture
Topical term or geographic name as entry element Network Sparsity
Topical term or geographic name as entry element 3D neural processing
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Law, Oscar Ming Kin
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Source of acquisition Cost, normal purchase price Full call number Barcode Date last seen Koha item type
          DAU DAU 2025-03-08 KBD 10776.87 006.3 LIU 035259 2025-03-16 Books

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