Results 31 to 40 of about 118,830,318 (300)
Recent Advances in In-Memory Computing: Exploring Memristor and Memtransistor Arrays With 2D Materials [PDF]
Nano-Micro LettersYong-wei Zhang, Hangbo Zhou, Kah-Wee Ang
exaly +2 more sources
An Efficient and Robust Partial Differential Equation Solver by Flash-Based Computing in Memory
Micromachines, 2023 Flash memory-based computing-in-memory (CIM) architectures have gained popularity due to their remarkable performance in various computation tasks of data processing, including machine learning, neuron networks, and scientific calculations. Especially in
Yueran Qi +10 more
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Architecture of Computing System based on Chiplet
Micromachines, 2022 Computing systems are widely used in medical diagnosis, climate prediction, autonomous vehicles, etc. As the key part of electronics, the performance of computing systems is crucial in the intellectualization of the equipment.
Guangbao Shan +5 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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Bayesian In-Memory Computing with Resistive Memories
, 2023 International audienceThis paper explores three approaches using resistive memory for Bayesian near-memory and in-memory computing, leveraging their inherent randomness.
Droulez, J +15 more
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Memory-Efficient Fixpoint Computation [PDF]
Formal Methods in System Design, 2020 Abstract Practical adoption of static analysis often requires trading precision for performance. This paper focuses on improving the memory efficiency of abstract interpretation without sacrificing precision or time efficiency. Computationally, abstract interpretation reduces the problem of inferring program invariants to computing a fixpoint
Sung Kook Kim +2 more
openaire +3 more sources
COSMO: Computing with Stochastic Numbers in Memory
, 2022 Stochastic computing (SC) reduces the complexity of computation by representing numbers with long streams of independent bits. However, increasing performance in SC comes with either an increase in area or a loss in accuracy.
Rosing, Tajana Simunic +15 more
core +1 more source
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
doaj +1 more source
, 2019 In-memory computing is the storage of information in the main random access memory (RAM) of servers rather than in databases operating on comparatively slow disk drives.
Adebowale E. Shadare +2 more
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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
doaj +1 more source