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Titlebook: In-Memory Computing Hardware Accelerators for Data-Intensive Applications; Baker Mohammad,Yasmin Halawani Book 2024 The Editor(s) (if appl

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https://doi.org/10.1007/978-3-031-34233-2Memory centric computing; Artificial intelligence algorithms; Brain-inspired processor architectures; I
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Baker Mohammad,Yasmin HalawaniExplains how traditional computer architecture limits data movements (memory wall) and the associated impacts.Discusses computing paradigms such as in-memory or near-memory computing for emerging appl
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978-3-031-34235-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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In and Near-Memory Computing Using DRAM,mber extraction, and secure key generation are different approaches for DRAM computing. The implementation of DRAM computing paradigms involves programming the memory controller, updating the peripheral circuits, integrating low-overhead blocks near the memory, or a combination of these.
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Book 2024authors discuss how processing-centric computing has become insufficient to meet target requirements and how Memory-centric computing may be better suited for the needs of current applications.This reveals for readers how current and emerging memory technologies are causing a shift in the computing
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