Processing-in-Memory for AI (eBook)

From Circuits to Systems

Joo-Young Kim, Bongjin Kim, Tony Tae-Hyoung Kim (Herausgeber)

eBook Download: PDF

2022
165 Seiten
Springer International Publishing (Verlag)
978-3-030-98781-7 (ISBN)

Infos

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).

Produkt-Details

• Erscheint lt. Verlag: 9.7.2022
• Zusatzinfo: V, 165 p. 134 illus., 99 illus. in color.
• Sprache: englisch
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Schlagworte: AI and Big Data • DRAM-based processing in memory • In-memory Architectures for Machine Learning • Processing in memory for AI training • ReRAM-based processing in memory • Software stack for processing in memory • SRAM-based processing in memory
• ISBN-10: 3-030-98781-7 / 3030987817
• ISBN-13: 978-3-030-98781-7 / 9783030987817