2022 IEEE Computer Society Annual Symposium on VLSI (ISVLSI) 2022
DOI: 10.1109/isvlsi54635.2022.00078
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Hardware-aware Automated Architecture Search for Brain-inspired Hyperdimensional Computing

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Cited by 5 publications
(2 citation statements)
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“…On the algorithmic side, part of the design choices available for HDC models [17]- [19], [24] has been explored in [29] and [30]. The work in [29], presents HDTorch, a software library with CUDA extensions for testing the impact of different strategies on the model accuracy.…”
Section: E Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…On the algorithmic side, part of the design choices available for HDC models [17]- [19], [24] has been explored in [29] and [30]. The work in [29], presents HDTorch, a software library with CUDA extensions for testing the impact of different strategies on the model accuracy.…”
Section: E Related Workmentioning
confidence: 99%
“…The work in [29], presents HDTorch, a software library with CUDA extensions for testing the impact of different strategies on the model accuracy. In HwAwHDC [30], a framework based on Reinforcement Learning optimization is used to search for the optimal trade-off between accuracy, model size, execution time, memory usage, and energy consumption of HDC software models implemented on embedded devices.…”
Section: E Related Workmentioning
confidence: 99%