| 书目名称 | In-Memory Computing Hardware Accelerators for Data-Intensive Applications |
| 编辑 | Baker Mohammad,Yasmin Halawani |
| 视频video | |
| 概述 | Explains how traditional computer architecture limits data movements (memory wall) and the associated impacts.Discusses computing paradigms such as in-memory or near-memory computing for emerging appl |
| 图书封面 |  |
| 描述 | .This book describes the state-of-the-art of technology and research on In-Memory Computing Hardware Accelerators for Data-Intensive Applications.The authors discuss how processing-centric computing has become insufficient to meet target requirements and how Memory-centric computing may be better suited for the needs of current applications.This reveals for readers how current and emerging memory technologies are causing a shift in the computing paradigm. The authors do deep-dive discussions on volatile and non-volatile memory technologies, covering their basic memory cell structures, operations, different computational memory designs and the challenges associated with them. Specific case studies and potential applications are provided along with their current status and commercial availability in the market. . |
| 出版日期 | Book 2024 |
| 关键词 | Memory centric computing; Artificial intelligence algorithms; Brain-inspired processor architectures; I |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-34233-2 |
| isbn_softcover | 978-3-031-34235-6 |
| isbn_ebook | 978-3-031-34233-2 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 19:27:13
