Processing-in-Memory for AI

Processing-in-Memory for AI
Author :
Publisher : Springer Nature
Total Pages : 168
Release :
ISBN-10 : 9783030987817
ISBN-13 : 3030987817
Rating : 4/5 (817 Downloads)

Book Synopsis Processing-in-Memory for AI by : Joo-Young Kim

Download or read book Processing-in-Memory for AI written by Joo-Young Kim and published by Springer Nature. This book was released on 2022-07-09 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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