Locality-Based Encoder and Model Quantization for Efficient Hyper-Dimensional Computing
Sign Up to like & getrecommendations! 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… read more here.
Keywords: dimensional computing; model; model quantization; hyper dimensional ... See more keywords
Stochastic-HD: Leveraging Stochastic Computing on the Hyper-Dimensional Computing Pipeline
Sign Up to like & getrecommendations! 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,… read more here.
Keywords: dimensional computing; stochastic leveraging; stochastic computing; hyper dimensional ... See more keywords