| Description |
1 online resource (v, 165 pages) : illustrations (chiefly color) |
| Contents |
Introduction -- Background -- PIM Constraints and Approaches -- SRAM based PIM -- DRAM based PIM -- ReRAM based PIM -- PIM for AI Training -- PIM Systems -- Conclusion |
| 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). 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 |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed July 14, 2022) |
| Subject |
Memory management (Computer science)
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Computer storage devices.
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Artificial intelligence.
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artificial intelligence.
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Artificial intelligence
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Computer storage devices
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Memory management (Computer science)
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| Form |
Electronic book
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| Author |
Kim, Joo-Young, editor
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Kim, Bongjin, editor
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Kim, Tony Tae-Hyoung, editor
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| ISBN |
9783030987817 |
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3030987817 |
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