MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02943nam a22003017a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
ZW-GwMSU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240506104054.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
240506b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780128231234 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
rda |
| Language of cataloging |
English |
| Transcribing agency |
MSULIB |
| Description conventions |
rda |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA76.9.B56 HAR |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kim, Shiho |
| Relator term |
Editor |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Hardware accelerator systems for artificial intelligence and machine learning / |
| Statement of responsibility, etc |
created by Shiho Kim and Ganesh Chandra Deka |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Name of producer, publisher, distributor, manufacturer |
Academic Press, |
| -- |
an imprint of Elsevier, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2021 |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Date of production, publication, distribution, manufacture, or copyright notice |
©2021 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xii, 402 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| content type term |
text |
| 337 ## - MEDIA TYPE |
|---|
| source |
rdamedia |
| media type term |
unmediated |
| media type code |
n |
| 338 ## - CARRIER TYPE |
|---|
| source |
rdacarrier |
| carrier type term |
volume |
| carrier type code |
nc |
| 490 ## - SERIES STATEMENT |
|---|
| Series statement |
Advances in computers, |
| International Standard Serial Number |
122 |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Introduction to hardware accelerator systems for artificial intelligence and machine learning / Neha Gupta Hardware accelerator systems for embedded systems / William J. Song Hardware accelerator systems for artificial intelligence and machine learning / Hyunbin Park and Shiho Kim Generic quantum hardware accelerators for conventional systems / Parth Bir FPGA based neural network accelerators / Joo-Young Kim Deep Learning with GPUs / Won Jeon, Gun Ko, Jiwon Lee, Hyunwuk Lee, Dongho Ha, and Won Woo Ro Architecture of neural processing unit for deep neural networks / Kyuho J. Lee Energy-Efficient Deep Learning Inference on Edge Devices / Francesco Daghero, Daniele Jahier Pagliari, and Massimo Poncino "Last mile" optimization of edge computing ecosystem with deep learning models and specialized tensor processing architectures / Yuri Gordienko, Yuriy Kocccchura, Vlad Taran, Nikita Gordienko, Oleksandr Rokovyi, Oleg Alienin, and Sergii Stirenko Hardware accelerator for training with integer backpropagation and probabilistic weight update / Hyunbin Park and Shiho Kim Music recommender system using restricted Boltzmann machine with implicit feedback / Amitabh Biswal, Malaya Dutta Borah, and Zakir Hussain |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Volume 122 delves into artificial Intelligence and the growth it has seen with the advent of Deep Neural Networks (DNNs) and Machine Learning. Updates in this release include chapters on Hardware accelerator systems for artificial intelligence and machine learning, Introduction to Hardware Accelerator Systems for Artificial Intelligence and Machine Learning, Deep Learning with GPUs, Edge Computing Optimization of Deep Learning Models for Specialized Tensor Processing Architectures, Architecture of NPU for DNN, Hardware Architecture for Convolutional Neural Network for Image Processing, FPGA based Neural Network Accelerators, and much more--Publisher's description |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Computer Systems |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Artificial Intelligence |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Deka ,Ganesh Chandra |
| Relator term |
Editor |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Book |