Artificial intelligence hardware design (Record no. 69620)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04397cam a2200565Ia 4500 |
| 001 - CONTROL NUMBER | |
| control field | on1265465568 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220711203716.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210828s2021 nju ob 001 0 eng d |
| 019 ## - | |
| -- | 1265344168 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119810483 |
| -- | (electronic bk. : oBook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119810485 |
| -- | (electronic bk. : oBook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119810469 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119810469 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119810476 |
| -- | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119810477 |
| -- | (electronic bk.) |
| 029 1# - (OCLC) | |
| OCLC library identifier | AU@ |
| System control number | 000069952158 |
| 037 ## - | |
| -- | 9536220 |
| -- | IEEE |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.3/2 |
| 100 1# - AUTHOR NAME | |
| Author | Liu, Albert (Chun-Chen). |
| 245 10 - TITLE STATEMENT | |
| Title | Artificial intelligence hardware design |
| Sub Title | challenges and solutions / |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Hoboken : |
| Publisher | IEEE Press : |
| -- | Wiley, |
| Year of publication | 2021. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 online resource (233 p.) |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Front Matter -- Introduction -- Deep Learning -- Parallel Architecture -- Streaming Graph Theory -- Convolution Optimization -- In-Memory Computation -- Near-Memory Architecture -- Network Sparsity -- 3D Neural Processing -- Appendix A: Neural Network Topology -- 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. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Law, Oscar Ming Kin. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1002/9781119810483 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 588 0# - | |
| -- | Online resource; title from PDF title page (John Wiley, viewed August 30, 2021). |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Neural networks (Computer science) |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer engineering. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| -- | (OCoLC)fst00817247 |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer engineering. |
| -- | (OCoLC)fst00872078 |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Neural networks (Computer science) |
| -- | (OCoLC)fst01036260 |
| 994 ## - | |
| -- | 92 |
| -- | DG1 |
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