Approximate computing: An emerging paradigm for energy-efficient design

J Han, M Orshansky - 2013 18th IEEE European Test …, 2013 - ieeexplore.ieee.org
Approximate computing has recently emerged as a promising approach to energy-efficient
design of digital systems. Approximate computing relies on the ability of many systems and …

Neural-like computing with populations of superparamagnetic basis functions

A Mizrahi, T Hirtzlin, A Fukushima, H Kubota… - Nature …, 2018 - nature.com
In neuroscience, population coding theory demonstrates that neural assemblies can achieve
fault-tolerant information processing. Mapped to nanoelectronics, this strategy could allow …

Leveraging the error resilience of machine-learning applications for designing highly energy efficient accelerators

Z Du, K Palem, A Lingamneni, O Temam… - 2014 19th Asia and …, 2014 - ieeexplore.ieee.org
In recent years, inexact computing has been increasingly regarded as one of the most
promising approaches for reducing energy consumption in many applications that can …

Ten years of building broken chips: The physics and engineering of inexact computing

K Palem, A Lingamneni - ACM Transactions on Embedded Computing …, 2013 - dl.acm.org
Well over a decade ago, many believed that an engine of growth driving the semiconductor
and computing industries---captured nicely by Gordon Moore's remarkable prophecy …

Energy-efficient information transfer by visual pathway synapses

JJ Harris, R Jolivet, E Engl, D Attwell - Current Biology, 2015 - cell.com
The architecture of computational devices is shaped by their energy consumption. Energetic
constraints are used to design silicon-based computers but are poorly understood for neural …

Leveraging the error resilience of neural networks for designing highly energy efficient accelerators

Z Du, A Lingamneni, Y Chen, KV Palem… - … on Computer-Aided …, 2015 - ieeexplore.ieee.org
In recent years, inexact computing has been increasingly regarded as one of the most
promising approaches for slashing energy consumption in many applications that can …

Neuronal energy use and brain evolution

T Quintela-López, H Shiina, D Attwell - Current Biology, 2022 - cell.com
Consider how advantageous it might be to have eyes on our hands, rather than on our
faces: depth perception would be improved by the greater distance between the eyes, and it …

Inexactness and a future of computing

KV Palem - … Transactions of the Royal Society A …, 2014 - royalsocietypublishing.org
As pressures, notably from energy consumption, start impeding the growth and scale of
computing systems, inevitably, designers and users are increasingly considering the …

Letgo: A lightweight continuous framework for hpc applications under failures

B Fang, Q Guan, N Debardeleben… - Proceedings of the 26th …, 2017 - dl.acm.org
Requirements for reliability, low power consumption, and performance place complex and
conflicting demands on the design of high-performance computing (HPC) systems. Fault …

AutoSense: A framework for automated sensitivity analysis of program data

B Nongpoh, R Ray, S Dutta… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In recent times, approximate computing is being increasingly adopted across the computing
stack, from algorithms to computing hardware, to gain energy and performance efficiency by …