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SHEARer: Highly-Efficient Hyperdimensional Computing by
  Software-Hardware Enabled Multifold Approximation

SHEARer: Highly-Efficient Hyperdimensional Computing by Software-Hardware Enabled Multifold Approximation

20 July 2020
Behnam Khaleghi
Sahand Salamat
Anthony Thomas
Fatemeh Asgarinejad
Yeseong Kim
Tajana Simunic
ArXiv (abs)PDFHTML

Papers citing "SHEARer: Highly-Efficient Hyperdimensional Computing by Software-Hardware Enabled Multifold Approximation"

3 / 3 papers shown
Learning from Hypervectors: A Survey on Hypervector Encoding
Learning from Hypervectors: A Survey on Hypervector Encoding
Ieee Mehran Sercan Aygun Member
Ieee Shoushtari Moghadam Student Member
Muhammad Hassan
Ieee Mohsen Imani ID Member
230
40
0
01 Aug 2023
Graph Embeddings via Tensor Products and Approximately Orthonormal Codes
Graph Embeddings via Tensor Products and Approximately Orthonormal Codes
Frank Qiu
543
3
0
18 Aug 2022
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing
EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional ComputingIEEE Embedded Systems Letters (IEEE ESL), 2022
Ruixuan Wang
Dongning Ma
Xun Jiao
134
5
0
25 Mar 2022
1
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