Processing-in-Memory for AI
From Circuits to Systems
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Beschreibung
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.
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
Autor*in
Joo-Young Kim
Themen in »Processing-in-Memory for AI«
AI and big data In-memory Architectures for Machine Learning Processing in memory for AI training Software stack for processing in memory SRAM-based processing in memory DRAM-based processing in memory ReRAM-based processing in memory