Results 21 to 30 of about 131,454 (265)
Multifunctional computing-in-memory SRAM cells based on two-surface-channel MoS2 transistors
iScience, 2021 Summary: Driven by technologies such as machine learning, artificial intelligence, and internet of things, the energy efficiency and throughput limitations of the von Neumann architecture are becoming more and more serious.
Fan Wang +7 more
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Mapping Computation with No Memory [PDF]
, 2009 We investigate the computation of mappings from a set $S^n$ to itself with ''in situ programs'', that is using no extra variables than the input, and performing modifications of one component at a time. We consider several types of mappings and obtain effective computation and decomposition methods, together with upper bounds on the program length ...
Burckel, Serge +2 more
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An Integrated Photorefractive Analog Matrix-Vector Multiplier for Machine Learning
Applied Sciences, 2022 AI is fueling explosive growth in compute demand that traditional digital chip architectures cannot keep up with. Analog crossbar arrays enable power efficient synaptic signal processing with linear scaling on neural network size.
Elger A. Vlieg +4 more
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Optimizing memory in reservoir computers [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2022 A reservoir computer is a way of using a high dimensional dynamical system for computation. One way to construct a reservoir computer is by connecting a set of nonlinear nodes into a network. Because the network creates feedback between nodes, the reservoir computer has memory.
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Benchmarking In-Memory Computing Architectures
IEEE Open Journal of the Solid-State Circuits Society, 2022 In-memory computing (IMC) architectures have emerged as a compelling platform to implement energy-efficient machine learning (ML) systems. However, today, the energy efficiency gains provided by IMC designs seem to be leveling off and it is not clear ...
Naresh R. Shanbhag, Saion K. Roy
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Memristive devices for computation-in-memory [PDF]
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2018 CMOS technology and its continuous scaling have made electronics and computers accessible and affordable for almost everyone on the globe; in addition, they have enabled the solutions of a wide range of societal problems and applications. Today, however, both the technology and the computer architectures are facing severe challenges/walls making them ...
Jintao Yu +4 more
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Fast and Reconfigurable Logic Synthesis in Memristor Crossbar Array
Advanced Intelligent Systems, 2022 Memristor is a potential basic unit for the in‐memory computing system, which is an approach to break the memory wall of the traditional computer. However, low switching speed, nonuniform device characteristics, and inefficient logic synthesis hinder the
Wei Wang +11 more
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CoRR, 2023 Memory-centric computing aims to enable computation capability in and near all places where data is generated and stored. As such, it can greatly reduce the large negative performance and energy impact of data access and data movement, by fundamentally avoiding data movement and reducing data access latency & energy.
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Memory-Centric Computing: Solving Computing’s Memory Problem
2025 IEEE International Memory Workshop (IMW)Extended version of an IMW 2025 Invited ...
Onur Mutlu +2 more
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EcoMatAchieving efficient and stable formamidinium lead iodide (FAPbI3) perovskite solar cells (PSCs) requires integrated control of crystallization kinetics and defect suppression.
Jiazheng Wang +11 more
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