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Processing-in-Memory for AI : From Circuits to Systems - 2023 ed.

By: (Edited by) Bongjin Kim , (Edited by) Joo-Young Kim , (Edited by) Tony Tae-Hyoung Kim

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Ksh 14,400.00

Format: Hardback or Cased Book

ISBN-10: 3030987809

ISBN-13: 9783030987800

Edition: 2023 ed.

Publisher: Springer Nature Switzerland AG

Imprint: Springer Nature Switzerland AG

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Jul 10th, 2022

Print length: 165 Pages

Product Classification: Circuits & components
Computer architecture & logic design
Machine learning

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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.
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).

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