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

267 Pages·2022·7.501 MB·other
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Description:
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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Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.