Deep In-memory Architectures for Machine Learning (Record no. 75950)
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000 -LEADER | |
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fixed length control field | 03446nam a22005535i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-030-35971-3 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220801214108.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 200130s2020 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783030359713 |
-- | 978-3-030-35971-3 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 621.3815 |
100 1# - AUTHOR NAME | |
Author | Kang, Mingu. |
245 10 - TITLE STATEMENT | |
Title | Deep In-memory Architectures for Machine Learning |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2020. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | X, 174 p. 104 illus., 65 illus. in color. |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Introduction -- The Deep In-memory Architecture (DIMA) -- DIMA Prototype Integrated Circuits -- A Variation-Tolerant DIMA via On-Chip Training -- Mapping Inference Algorithms to DIMA -- PROMISE: A DIMA-based Accelerator -- Future Prospects -- Index. |
520 ## - SUMMARY, ETC. | |
Summary, etc | This book describes the recent innovation of deep in-memory architectures for realizing AI systems that operate at the edge of energy-latency-accuracy trade-offs. From first principles to lab prototypes, this book provides a comprehensive view of this emerging topic for both the practicing engineer in industry and the researcher in academia. The book is a journey into the exciting world of AI systems in hardware. Describes deep in-memory architectures for AI systems from first principles, covering both circuit design and architectures; Discusses how DIMAs pushes the limits of energy-delay product of decision-making machines via its intrinsic energy-SNR trade-off; Offers readers a unique Shannon-inspired perspective to understand the system-level energy-accuracy trade-off and robustness in such architectures; Illustrates principles and design methods via case studies of actual integrated circuit prototypes with measured results in the laboratory; Presents DIMA's various models to evaluate DIMA's decision-making accuracy, energy, and latency trade-offs with various design parameter. |
700 1# - AUTHOR 2 | |
Author 2 | Gonugondla, Sujan. |
700 1# - AUTHOR 2 | |
Author 2 | Shanbhag, Naresh R. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-030-35971-3 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2020. |
336 ## - | |
-- | text |
-- | txt |
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337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
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347 ## - | |
-- | text file |
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-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Electronic circuits. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Cooperating objects (Computer systems). |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Microprocessors. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer architecture. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Electronic Circuits and Systems. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Cyber-Physical Systems. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Processor Architectures. |
912 ## - | |
-- | ZDB-2-ENG |
912 ## - | |
-- | ZDB-2-SXE |
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