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Published in 2019 at "IEEE Journal on Emerging and Selected Topics in Circuits and Systems"
DOI: 10.1109/jetcas.2019.2935464
Abstract: Hyper-dimensional Computing (HDC), a bio-inspired paradigm defined on random high-dimensional vectors, has emerged as a promising IoT paradigm. It is known to provide competitive accuracy on sequential prediction tasks with much smaller model size and…
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Keywords:
centric iot;
programmable hyper;
architecture;
hyper dimensional ... See more keywords
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Published in 2022 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2021.3069139
Abstract: Brain-inspired hyper-dimensional (HD) computing is a new computing paradigm emulating the neuron’s activity in high-dimensional space. The first step in HD computing is to map each data point into high-dimensional space (e.g., 10 000), which…
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Keywords:
dimensional computing;
model;
model quantization;
hyper dimensional ... See more keywords
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Published in 2023 at "IEEE Transactions on Communications"
DOI: 10.1109/tcomm.2023.3239512
Abstract: In this paper, we introduce Hyper-Dimensional Modulation (HDM) for massive machine-type communications (mMTC). HDM enables robust communication of short packets by spreading information bits across many elements in a hyper-dimensional vector and superimposing a set…
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Keywords:
short packets;
machine type;
massive machine;
type communications ... See more keywords
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Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.867192
Abstract: Brain-inspired Hyper-dimensional(HD) computing is a novel and efficient computing paradigm. However, highly parallel architectures such as Processing-in-Memory(PIM) are bottle-necked by reduction operations required such as accumulation. To reduce this bottle-neck of HD computing in PIM,…
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Keywords:
dimensional computing;
stochastic leveraging;
stochastic computing;
hyper dimensional ... See more keywords
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Published in 2019 at "Atmosphere"
DOI: 10.3390/atmos10030148
Abstract: Modeling hyper-dimensional spatial variability is a complex task from both practical and theoretical standpoints. In this paper we develop a method for modeling hyper-dimensional covariance (variogram) structures using the product-sum covariance model initially developed to…
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Keywords:
model;
product sum;
hyper dimensional;
covariance ... See more keywords