Description

Book Synopsis
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).

Table of Contents

Introduction.- Background.- PIM Constraints and Approaches.- SRAM based PIM.- DRAM based PIM.- ReRAM based PIM.- PIM for AI Training.- PIM Systems.- Conclusion.

Processing-in-Memory for AI: From Circuits to Systems

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    A Hardback by Joo-Young Kim, Bongjin Kim, Tony Tae-Hyoung Kim

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      View other formats and editions of Processing-in-Memory for AI: From Circuits to Systems by Joo-Young Kim

      Publisher: Springer Nature Switzerland AG
      Publication Date: 10/07/2022
      ISBN13: 9783030987800, 978-3030987800
      ISBN10:

      Description

      Book Synopsis
      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).

      Table of Contents

      Introduction.- Background.- PIM Constraints and Approaches.- SRAM based PIM.- DRAM based PIM.- ReRAM based PIM.- PIM for AI Training.- PIM Systems.- Conclusion.

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