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Download Processing-in-Memory for AI: From Circuits to Systems by Joo-Young Kim, Bongjin Kim, Tony Tae-Hyoung Kim in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Processing-in-Memory for AI: From Circuits to Systems
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).
Detailed Information
| Author: | Joo-Young Kim, Bongjin Kim, Tony Tae-Hyoung Kim |
|---|---|
| Publication Year: | 2022 |
| ISBN: | 3030987809 |
| Pages: | 267 |
| Language: | other |
| File Size: | 7.501 |
| Format: | |
| Price: | FREE |
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