Stochastic-HD: Leveraging Stochastic Computing on Hyper-Dimensional Computing

2021 IEEE 39th International Conference on Computer Design (ICCD)(2021)

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摘要
Brain-inspired Hyperdimensional (HD) computing is a novel and efficient computing paradigm which is more hardware-friendly than the traditional machine learning algorithms, however, the latest encoding and similarity checking schemes still require thousands of operations. To further reduce the hardware cost of HD computing, we present Stochastic-HD that combines the simplicity of operations in Sto...
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关键词
Training,Machine learning algorithms,Costs,Parallel processing,Hardware,Energy efficiency,Robustness
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