先锋派
发表于 2025-3-30 11:13:29
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MOTIF
发表于 2025-3-30 13:04:42
978-3-031-42480-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
meditation
发表于 2025-3-30 17:11:58
Emerging Technologies for Memory-Centric Computingmory-centric paradigm appears to be a good candidate to break the memory and power walls by bringing computation closer to, or even completely inside, the memory. While current approaches are based on conventional volatile memory technologies, further performance improvements can be achieved through
BUCK
发表于 2025-3-30 22:53:06
An Overview of Computation-in-Memory (CIM) Architectures level of parallelism, and used memory technology. This classification does not only provide an overview of existing CIM architectures with their pros and cons but also unifies the terminology that uniquely identifies these architectures. The chapter also discusses the steps in CIM design flow from
Arresting
发表于 2025-3-31 03:18:35
Toward Spintronics Non-volatile Computing-in-Memory Architectures using spin devices, including in-memory logic computing and in-memory neural network computing architectures. In this chapter, the focus is mainly on the implementation of in-memory logical/numerical computation using spintronics memory technology and the realization of spintronics neural network
backdrop
发表于 2025-3-31 07:08:50
Is Neuromorphic Computing the Key to Power-Efficient Neural Networks: A Surveymodern industry theoretically allows unlimited growth; however, in reality, the dreaded power-wall problem in the parallel computing paradigm limits us from exploiting the true potential of AI. Modern neuromorphic accelerators present a lucrative alternative to the traditional artificial neural netw
Dissonance
发表于 2025-3-31 11:31:49
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Electrolysis
发表于 2025-3-31 16:23:46
An Active Storage System for Intelligent Data Analysis and Managementge, intelligent analysis, and automated management. However, traditional computing-centric storage system design suffers from performance issues caused by data movement and fails to satisfy the demand for intelligent data storage systems. Thereby, we propose an active storage system based on the nea