Processing-in-memory for AI : from circuits to systems / Joo-Young Kim, Bongjin Kim, Tony Tae-Hyoung Kim, editors.

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Processing-in-memory for AI : from circuits to systems / Joo-Young Kim, Bongjin Kim, Tony Tae-Hyoung Kim, editors.

9783030987817 (electronic bk.)
3030987817 (electronic bk.)
9783030987800
3030987809

Cham : Springer, [2023]

©2023

English

1 online resource (v, 165 pages) : illustrations (chiefly color)

10.1007/978-3-030-98781-7 doi

TK7895.M4

004.5

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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Online resource; title from PDF title page (SpringerLink, viewed July 14, 2022).

Print version: 9783030987800

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