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Processing-in-memory for AI = from c...

Kim, Joo-Young.

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Processing-in-memory for AI = from circuits to systems /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Processing-in-memory for AI/ edited by Joo-Young Kim, Bongjin Kim, Tony Tae-Hyoung Kim.
Reminder of title:	from circuits to systems /
other author:	Kim, Joo-Young.
Published:	Cham :Springer International Publishing : : 2023.,
Description:	v, 165 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	Introduction -- Background -- PIM Constraints and Approaches -- SRAM based PIM -- DRAM based PIM -- ReRAM based PIM -- PIM for AI Training -- PIM Systems -- Conclusion.
Contained By:	Springer Nature eBook
Subject:	Memory management (Computer science) -
Online resource:	https://doi.org/10.1007/978-3-030-98781-7
ISBN:	9783030987817

Processing-in-memory for AI = from circuits to systems /
Processing-in-memory for AIfrom circuits to systems /[electronic resource] :edited by Joo-Young Kim, Bongjin Kim, Tony Tae-Hyoung Kim. - Cham :Springer International Publishing :2023. - v, 165 p. :ill. (chiefly color), digital ;24 cm.

Introduction -- Background -- PIM Constraints and Approaches -- SRAM based PIM -- DRAM based PIM -- ReRAM based PIM -- PIM for AI Training -- PIM Systems -- Conclusion.

This book provides a comprehensive introduction to processing-in-memory (PIM) technology, from its architectures to circuits implementations on multiple memory types and describes how it can be a viable computer architecture in the era of AI and big data. The authors summarize the challenges of AI hardware systems, processing-in-memory (PIM) constraints and approaches to derive system-level requirements for a practical and feasible PIM solution. The presentation focuses on feasible PIM solutions that can be implemented and used in real systems, including architectures, circuits, and implementation cases for each major memory type (SRAM, DRAM, and ReRAM) Provides first book that describes the processing-in-memory (PIM) technology thoroughly from architectures to circuits; Describes architectures, circuits, and implementation cases for each major memory type (SRAM, DRAM, and ReRAM); Focuses on feasible PIM solutions that can be implemented and used in real systems.

ISBN: 9783030987817

Standard No.: 10.1007/978-3-030-98781-7doiSubjects--Topical Terms:

653258
Memory management (Computer science)

LC Class. No.: TK7895.M4

Dewey Class. No.: 004.5

Processing-in-memory for AI = from circuits to systems /
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505 0 $a Introduction -- Background -- PIM Constraints and Approaches -- SRAM based PIM -- DRAM based PIM -- ReRAM based PIM -- PIM for AI Training -- PIM Systems -- Conclusion.
520 $a This book provides a comprehensive introduction to processing-in-memory (PIM) technology, from its architectures to circuits implementations on multiple memory types and describes how it can be a viable computer architecture in the era of AI and big data. The authors summarize the challenges of AI hardware systems, processing-in-memory (PIM) constraints and approaches to derive system-level requirements for a practical and feasible PIM solution. The presentation focuses on feasible PIM solutions that can be implemented and used in real systems, including architectures, circuits, and implementation cases for each major memory type (SRAM, DRAM, and ReRAM) Provides first book that describes the processing-in-memory (PIM) technology thoroughly from architectures to circuits; Describes architectures, circuits, and implementation cases for each major memory type (SRAM, DRAM, and ReRAM); Focuses on feasible PIM solutions that can be implemented and used in real systems.
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700 1 $a Kim, Joo-Young. $3 3626008
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