Brain-inspired hyperdimensional computing for ultra-efficient edge ai
Hyperdimensional Computing (HDC) is rapidly emerging as an attractive alternative to
traditional deep learning algorithms. Despite the profound success of Deep Neural Networks …
traditional deep learning algorithms. Despite the profound success of Deep Neural Networks …
Torchhd: An open source python library to support research on hyperdimensional computing and vector symbolic architectures
Hyperdimensional computing (HD), also known as vector symbolic architectures (VSA), is a
framework for computing with distributed representations by exploiting properties of random …
framework for computing with distributed representations by exploiting properties of random …
Thrifty: Training with hyperdimensional computing across flash hierarchy
Hyperdimensional computing (HDC) is a brain-inspired computing paradigm that works with
high-dimensional vectors, hypervectors, instead of numbers. HDC replaces several complex …
high-dimensional vectors, hypervectors, instead of numbers. HDC replaces several complex …
Hardware optimizations of dense binary hyperdimensional computing: Rematerialization of hypervectors, binarized bundling, and combinational associative memory
Brain-inspired hyperdimensional (HD) computing models neural activity patterns of the very
size of the brain's circuits with points of a hyperdimensional space, that is, with hypervectors …
size of the brain's circuits with points of a hyperdimensional space, that is, with hypervectors …
In-memory hyperdimensional computing
Hyperdimensional computing is an emerging computational framework that takes inspiration
from attributes of neuronal circuits including hyperdimensionality, fully distributed …
from attributes of neuronal circuits including hyperdimensionality, fully distributed …
Hyperdimensional computing vs. neural networks: Comparing architecture and learning process
D Ma, C Hao, X Jiao - 2024 25th International Symposium on …, 2024 - ieeexplore.ieee.org
Hyperdimensional Computing (HDC) has obtained abundant attention as an emerging non
von Neumann computing paradigm. Inspired by the way human brain functions, HDC …
von Neumann computing paradigm. Inspired by the way human brain functions, HDC …
Generic: highly efficient learning engine on edge using hyperdimensional computing
Hyperdimensional Computing (HDC) mimics the brain's basic principles in performing
cognitive tasks by encoding the data to high-dimensional vectors and employing non …
cognitive tasks by encoding the data to high-dimensional vectors and employing non …
Eventhd: Robust and efficient hyperdimensional learning with neuromorphic sensor
Brain-inspired computing models have shown great potential to outperform today's deep
learning solutions in terms of robustness and energy efficiency. Particularly, Hyper …
learning solutions in terms of robustness and energy efficiency. Particularly, Hyper …
Wireless on-chip communications for scalable in-memory hyperdimensional computing
Hyperdimensional computing (HDC) is an emerging computing paradigm that represents,
manipulates, and communicates data using very long random vectors (aka hypervectors) …
manipulates, and communicates data using very long random vectors (aka hypervectors) …
Polynomial codes: an optimal design for high-dimensional coded matrix multiplication
Q Yu, M Maddah-Ali… - Advances in Neural …, 2017 - proceedings.neurips.cc
We consider a large-scale matrix multiplication problem where the computation is carried
out using a distributed system with a master node and multiple worker nodes, where each …
out using a distributed system with a master node and multiple worker nodes, where each …