Accelerators for Convolutional Neural Networks (Record no. 67079)
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| fixed length control field | 04075nam a22004094u 4500 |
| 001 - CONTROL NUMBER | |
| control field | 10.1002/9781394171910 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | Wiley |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251030120311.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mam|a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 231013t2023||||xxu fs| |0|| 0|eng|| |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781394171910 |
| Qualifying information | electronic |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1002/9781394171910 |
| Source of number or code | doi |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Munir, Arslan |
| Relator code | aut |
| 9 (RLIN) | 91761 |
| 245 10 - TITLE STATEMENT | |
| Title | Accelerators for Convolutional Neural Networks |
| Medium | [electronic resource] |
| Statement of responsibility, etc. | Arslan Munir, Joonho Kong, Mahmood Azhar Qureshi |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1 |
| 260 ## - Date publicare | |
| Name of publisher, distributor, etc. | Wiley |
| Date of publication, distribution, etc. | 2023 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Name of producer, publisher, distributor, manufacturer | Wiley |
| Date of production, publication, distribution, manufacture, or copyright notice | 2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 304pp.; |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| File type | text file |
| Source | rdaft |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| Encoding format | |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Accelerators for Convolutional Neural Networks Comprehensive and thorough resource exploring different types of convolutional neural networks and complementary accelerators Accelerators for Convolutional Neural Networks provides basic deep learning knowledge and instructive content to build up convolutional neural network (CNN) accelerators for the Internet of things (IoT) and edge computing practitioners, elucidating compressive coding for CNNs, presenting a two-step lossless input feature maps compression method, discussing arithmetic coding -based lossless weights compression method and the design of an associated decoding method, describing contemporary sparse CNNs that consider sparsity in both weights and activation maps, and discussing hardware/software co-design and co-scheduling techniques that can lead to better optimization and utilization of the available hardware resources for CNN acceleration. The first part of the book provides an overview of CNNs along with the composition and parameters of different contemporary CNN models. Later chapters focus on compressive coding for CNNs and the design of dense CNN accelerators. The book also provides directions for future research and development for CNN accelerators. Other sample topics covered in Accelerators for Convolutional Neural Networks include: How to apply arithmetic coding and decoding with range scaling for lossless weight compression for 5-bit CNN weights to deploy CNNs in extremely resource-constrained systems State-of-the-art research surrounding dense CNN accelerators, which are mostly based on systolic arrays or parallel multiply-accumulate (MAC) arrays iMAC dense CNN accelerator, which combines image-to-column (im2col) and general matrix multiplication (GEMM) hardware acceleration Multi-threaded, low-cost, log-based processing element (PE) core, instances of which are stacked in a spatial grid to engender NeuroMAX dense accelerator Sparse-PE, a multi-threaded and flexible CNN PE core that exploits sparsity in both weights and activation maps, instances of which can be stacked in a spatial grid for engendering sparse CNN accelerators For researchers in AI, computer vision, computer architecture, and embedded systems, along with graduate and senior undergraduate students in related programs of study, Accelerators for Convolutional Neural Networks is an essential resource to understanding the many facets of the subject and relevant applications. |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 91501 |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 58441 |
| 650 #4 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | |
| 9 (RLIN) | 91584 |
| 653 00 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | CNN acceleration; CNN prototyping; hardware accelerators; compressive coding; dense CNNs; sparse CNNs; HW/SW co-design; HW/SW co-scheduling |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kong, Joonho |
| Relator code | aut |
| 9 (RLIN) | 91762 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Qureshi, Mahmood Azhar |
| Relator code | aut |
| 9 (RLIN) | 91763 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9781394171880 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1002/9781394171910">https://doi.org/10.1002/9781394171910</a> |
| Host name | Wiley Online Library |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781394171910">https://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781394171910</a> |
| Host name | Wiley Online Library |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Cover Image |
| Uniform Resource Identifier | <a href="https://onlinelibrary.wiley.com/cms/asset/caa9b508-248c-44e5-a05b-de65d73eb0d8/9781394171910.cover.gif">https://onlinelibrary.wiley.com/cms/asset/caa9b508-248c-44e5-a05b-de65d73eb0d8/9781394171910.cover.gif</a> |
| Host name | Wiley Online Library |
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