MACISH: Designing approximate MAC accelerators with internal-self-healing

GA Gillani, MA Hanif, B Verstoep, SH Gerez… - IEEE …, 2019 - ieeexplore.ieee.org
Approximate computing studies the quality-efficiency trade-off to attain a best-efficiency (eg,
area, latency, and power) design for a given quality constraint and vice versa. Recently, self …

Energy efficient video decoding for vvc using a greedy strategy-based design space exploration

M Kränzler, C Herglotz, A Kaup - IEEE Transactions on Circuits …, 2021 - ieeexplore.ieee.org
IP traffic has increased significantly in recent years, and it is expected that this progress will
continue. Recent studies report that the viewing of online video content accounts for a share …

Energy-quality scalable integrated circuits and systems: Continuing energy scaling in the twilight of Moore's law

M Alioto, V De, A Marongiu - IEEE Journal on Emerging and …, 2018 - ieeexplore.ieee.org
This paper aims to take stock of recent advances in the field of energy-quality (EQ) scalable
circuits and systems, as promising direction to continue the historical exponential energy …

SquASH: Approximate square-accumulate with self-healing

GA Gillani, MA Hanif, M Krone, SH Gerez… - IEEE …, 2018 - ieeexplore.ieee.org
Approximate computing strives to achieve the highest performance-, area-, and power-
efficiency for a given quality constraint and vice versa. Conventional approximate design …

An efficient selection-based KNN architecture for smart embedded hardware accelerators

H Younes, A Ibrahim, M Rizk… - IEEE Open Journal of …, 2021 - ieeexplore.ieee.org
K-Nearest Neighbor (kNN) is an efficient algorithm used in many applications, eg, text
categorization, data mining, and predictive analysis. Despite having a high computational …

Proposed approximate hybrid memory architecture for handheld multimedia devices

P Sharma, V Neema, A Panchal - Materials Today: Proceedings, 2023 - Elsevier
Nowadays Handheld multimedia devices demand is growing rapidly, as the demand for
mobility in work and lifestyle increases. Power consumption has become the paramount …

Algorithmic-level approximate tensorial SVM using high-level synthesis on FPGA

H Younes, A Ibrahim, M Rizk, M Valle - Electronics, 2021 - mdpi.com
Approximate Computing Techniques (ACT) are promising solutions towards the
achievement of reduced energy, time latency and hardware size for embedded …

The hidden cost of functional approximation against careful data sizing—A case study

B Barrois, O Sentieys, D Menard - Design, Automation & Test in …, 2017 - ieeexplore.ieee.org
Many applications are error-resilient, allowing for the introduction of approximations in the
calculations, as long as a certain accuracy target is met. Traditionally, fixed-point arithmetic …

A decoding-complexity and rate-controlled video-coding algorithm for HEVC

T Mallikarachchi, D Talagala, H Kodikara Arachchi… - Future Internet, 2020 - mdpi.com
Video playback on mobile consumer electronic (CE) devices is plagued by fluctuations in
the network bandwidth and by limitations in processing and energy availability at the …

Energy-quality scalable monocular depth estimation on low-power cpus

A Cipolletta, V Peluso, A Calimera… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The recent advancements in deep learning have demonstrated that inferring high-quality
depth maps from a single image has become feasible and accurate, thanks to convolutional …