TY  - BOOK
AU  - Kim,Joo-Young
AU  - Kim,Bongjin
AU  - Kim,Tony Tae-Hyoung
ED  - SpringerLink (Online service)
TI  - Processing-in-Memory for AI: From Circuits to Systems 
SN  - 9783030987817
AV  - TK7867-7867.5 
U1  - 621.3815 23
PY  - 2023///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Electronic circuits
KW  - Microprocessors
KW  - Computer architecture
KW  - Machine learning
KW  - Electronic Circuits and Systems
KW  - Processor Architectures
KW  - Machine Learning
N1  - Acceso multiusuario; Introduction -- Background -- PIM Constraints and Approaches -- SRAM based PIM -- DRAM based PIM -- ReRAM based PIM -- PIM for AI Training -- PIM Systems -- Conclusion
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-030-98781-7
ER  -