scholarly journals A Theoretical Perspective on Hyperdimensional Computing

2021 ◽  
Vol 72 ◽  
pp. 215-249
Author(s):  
Anthony Thomas ◽  
Sanjoy Dasgupta ◽  
Tajana Rosing

Hyperdimensional (HD) computing is a set of neurally inspired methods for obtaining highdimensional, low-precision, distributed representations of data. These representations can be combined with simple, neurally plausible algorithms to effect a variety of information processing tasks. HD computing has recently garnered significant interest from the computer hardware community as an energy-efficient, low-latency, and noise-robust tool for solving learning problems. In this review, we present a unified treatment of the theoretical foundations of HD computing with a focus on the suitability of representations for learning.

2012 ◽  
Vol 2012 ◽  
pp. 1-20
Author(s):  
Supriyo Bandyopadhyay

Information processors process information in a variety of ways. The human brain processes information through a highly interconnected system of neurons and synapses, while a digital computer processes information by having a binary switch toggle on and off in response to a stream of binary bits. The “switch” is the most primitive unit of the modern computer. The better it is (faster, more energy efficient, more reliable, etc.), the more advanced is the computer hardware. Energy efficiency, however, is more important than any other attribute, not so much because energy is costly, but because too much energy dissipation prevents increasing the density of switches on a chip that is necessary to make the chip increasingly more powerful. Reducing dissipation entails radically new and often revolutionary approaches for implementing the switch. One such approach is to encode digital bit information in the spin polarization of a single electron (or ensemble of electrons) and then using two mutually antiparallel polarizations to represent the binary bits 0 and 1. Switching between the bits can be accomplished by simply flipping the polarizations of the spins, which takes very little energy. Such switches are extremely energy efficient if designed properly, but they are somewhat slower than traditional transistor-based switches and can be more error prone. This paper discusses the pros and cons of spin-based switches and introduces the reader to the most recent advancements in information processing predicated on encoding information in electron spin polarization.


Author(s):  
Alberto Marchisio ◽  
Vojtech Mrazek ◽  
Muhammad Abdullah Hanif ◽  
Muhammad Shafique

2012 ◽  
Vol 24 (24) ◽  
pp. 2296-2299 ◽  
Author(s):  
Zheng Chen ◽  
Huaxi Gu ◽  
Yintang Yang ◽  
Ke Chen

2013 ◽  
Vol 26 (3) ◽  
pp. 227-238
Author(s):  
Thomas Windbacher ◽  
Hiwa Mahmoudi ◽  
Alexander Makarov ◽  
Viktor Sverdlov ◽  
Siegfried Selberherr

We summarize our recent work on a non-volatile logic building block required for energy-efficient information processing systems. A sequential logic device, in particular, an alternative non-volatile magnetic flip-flop has been introduced. Its properties are investigated and its extension to a very dense shift register is demonstrated. We show that the flip-flop structure inherently exhibits oscillations and discuss its spin torque nano-oscillator properties.


Author(s):  
Ceyda Tanrikulu

This chapter aims to provide proposals about understanding the gender difference in online information processing that have been developed based on the theories and the findings of the current research. Major findings in the literature indicate the gender difference in online information processing. This chapter can be used to help gain insight about the online consumer behavior based on gender approach by presenting theoretical perspective, providing basis for future research, enrich the understanding about gender differences in online information processing, and to give suggestion for implications requiring strategic decisions.


Sign in / Sign up

Export Citation Format

Share Document