Results 31 to 40 of about 931,753 (278)
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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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.
openaire +3 more sources
Main memory in HPC: do we need more, or could we live with less? [PDF]
, 2017 An important aspect of High-Performance Computing (HPC) system design is the choice of main memory capacity. This choice becomes increasingly important now that 3D-stacked memories are entering the market.
Ayguadé Parra, Eduard +8 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
doaj +1 more source
Vulnerable GPU Memory Management: Towards Recovering Raw Data from GPU [PDF]
, 2016 In this paper, we present that security threats coming with existing GPU memory management strategy are overlooked, which opens a back door for adversaries to freely break the memory isolation: they enable adversaries without any privilege in a computer ...
Diao, Wenrui +5 more
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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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Neuromorphic, Digital and Quantum Computation with Memory Circuit Elements [PDF]
, 2011 Memory effects are ubiquitous in nature and the class of memory circuit elements - which includes memristors, memcapacitors and meminductors - shows great potential to understand and simulate the associated fundamental physical processes.
Di Ventra, Massimiliano +1 more
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Impurity and quaternions in nonrelativistic scattering from a quantum memory [PDF]
, 2007 Models of quantum computing rely on transformations of the states of a quantum memory. We study mathematical aspects of a model proposed by Wu in which the memory state is changed via the scattering of incoming particles. This operation causes the memory
Adler S L +19 more
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Boosting Backward Search Throughput for FM-Index Using a Compressed Encoding [PDF]
, 2019 The rapid development of DNA sequencing technologies has demanded for com- pressed data structures supporting fast pattern matching queries. FM-index is a widely-used compressed data structure that also supports fast pattern matching queries.
Alastruey-Benedé, Jesús +5 more
core +1 more source
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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