Processing-in-Memory for AI - From Circuits to Systems (Hardcover, 1st ed. 2023)

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).

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	July 2022
First published:	2023
Editors:	Joo-Young Kim • Bongjin Kim • Tony Tae-Hyoung Kim
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	165
Edition:	1st ed. 2023
ISBN-13:	978-3-03-098780-0
Categories:	Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Circuits & components Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-03-098780-9
Barcode:	9783030987800

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