Processing-in-memory for AI: from circuits to systems

By:

Kim, Joo-Young (Ed.)

Contributor(s):

Publication details: Springer Nature, 2023. Cham:Description: v, 165p.; ill.; hbk; 24cmISBN:

9783030987800

Subject(s):

DDC classification:

004.53 KIM

Summary: 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). https://link.springer.com/book/10.1007/978-3-030-98781-7#about-this-book

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Books	IIT Gandhinagar	General	004.53 KIM (Browse shelf(Opens below))	1	Available		032144

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Includes index and references

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).

https://link.springer.com/book/10.1007/978-3-030-98781-7#about-this-book

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