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In-memory computing hardware accelerators for data-intensive applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	In-memory computing hardware accelerators for data-intensive applications/ edited by Baker Mohammad, Yasmin Halawani.
other author:	Mohammad, Baker.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	vii, 143 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	Chapter 1 Data-Centric Computing Paradigm Shift, And Domain-Specific Architecture and Hardware -- Chapter 2 SRAM-based In-Memory Computing: Circuits, Functions, and Applications -- Chapter 3 In and Near-Memory Computing using DRAM -- Chapter 4 MRAM-based In-Memory Computing -- Chapter 5 In-Memory Computing using Phase Change Memory -- Chapter 6 Memristor-Based In-Memory Computing -- Chapter 7 In-Memory Computing using FLASH Memory.
Contained By:	Springer Nature eBook
Subject:	Computer storage devices. -
Online resource:	https://doi.org/10.1007/978-3-031-34233-2
ISBN:	9783031342332

In-memory computing hardware accelerators for data-intensive applications
In-memory computing hardware accelerators for data-intensive applications[electronic resource] /edited by Baker Mohammad, Yasmin Halawani. - Cham :Springer Nature Switzerland :2024. - vii, 143 p. :ill. (some col.), digital ;24 cm.

Chapter 1 Data-Centric Computing Paradigm Shift, And Domain-Specific Architecture and Hardware -- Chapter 2 SRAM-based In-Memory Computing: Circuits, Functions, and Applications -- Chapter 3 In and Near-Memory Computing using DRAM -- Chapter 4 MRAM-based In-Memory Computing -- Chapter 5 In-Memory Computing using Phase Change Memory -- Chapter 6 Memristor-Based In-Memory Computing -- Chapter 7 In-Memory Computing using FLASH Memory.

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. 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 applications such as AI; Uses case studies to explain the tradeoff between accuracy, computing complexity, and latency.

ISBN: 9783031342332

Standard No.: 10.1007/978-3-031-34233-2doiSubjects--Topical Terms:

649652
Computer storage devices.

LC Class. No.: TK7895.M4 / I46 2024

Dewey Class. No.: 004.5

In-memory computing hardware accelerators for data-intensive applications
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245 0 0 $a In-memory computing hardware accelerators for data-intensive applications $h [electronic resource] / $c edited by Baker Mohammad, Yasmin Halawani.
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300 $a vii, 143 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Chapter 1 Data-Centric Computing Paradigm Shift, And Domain-Specific Architecture and Hardware -- Chapter 2 SRAM-based In-Memory Computing: Circuits, Functions, and Applications -- Chapter 3 In and Near-Memory Computing using DRAM -- Chapter 4 MRAM-based In-Memory Computing -- Chapter 5 In-Memory Computing using Phase Change Memory -- Chapter 6 Memristor-Based In-Memory Computing -- Chapter 7 In-Memory Computing using FLASH Memory.
520 $a 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. 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 applications such as AI; Uses case studies to explain the tradeoff between accuracy, computing complexity, and latency.
650 0 $a Computer storage devices. $3 649652
650 1 4 $a Electronic Circuits and Systems. $3 3538814
650 2 4 $a Embedded Systems. $3 3592715
650 2 4 $a Processor Architectures. $3 892680
700 1 $a Mohammad, Baker. $3 2055830
700 1 $a Halawani, Yasmin. $3 3711332
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773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-34233-2
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