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Found 4 papers, 0 papers with code
Sobol Sequence Optimization for Hardware-Efficient Vector Symbolic Architectures
The performance of the proposed technique is evaluated in comparison to two traditional approaches of generating hypervectors based on linear-feedback shift registers and MATLAB random function.
uHD: Unary Processing for Lightweight and Dynamic Hyperdimensional Computing
To construct HDC models for vision applications, the current state-of-the-art practice utilizes two parameters for data encoding: pixel intensity and pixel position.
Learning from Hypervectors: A Survey on Hypervector Encoding
It zeroes in on the HDC system input and the generation of hypervectors, directly influencing the hypervector encoding process.
TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training
In this work, first we present a novel approach to add the training ability to a baseline DNN accelerator (inference only) by splitting the SGD algorithm into simple computational elements.
