Publication Details

Editorial: Special issue on Advancing on Approximate Computing: Methodologies, Architectures and Algorithms

BARBARESCHI, M.; BOSIO, A.; SEKANINA, L.; BRAUN, C. Editorial: Special issue on Advancing on Approximate Computing: Methodologies, Architectures and Algorithms. Future Generation Computer Systems-The International Journal of Grid Computing Theory Methods and Applications. 2021. p. 54-55. ISSN: 0167-739X.

Czech title

Editorial: Speciální číslo o pokrocích v aproximativním počítání: Metody, architektury a algoritmy

Type

editorial

Language

English

Authors

Barbareschi Mario, Dr.
BOSIO, A.
Sekanina Lukáš, prof. Ing., Ph.D. (DCSY)
Braun Claus, Dr.

Keywords

approximate circuit, approximate computing, error modeling and propagation,
inherent error resiliency

Abstract

In the modern computing era, characterized by saturated performance and high
production costs, Approximate Computing has been representing the most attractive
breakthrough for efficient system design. Such an innovative paradigm leverages
the intrinsic error resilience of applications to inaccuracy in their inner
calculations, in order to trade output result quality, under a certain maximum
acceptable error threshold, off for system performance gain, such as calculation
time and power demanding. In particular, for audio, image and video processing,
data mining and information retrieval, approximate results turn out hard to
distinguish from perfect ones, while their computation is less expensive. In
recent years, Approximate Computing applicability is broadening in many
scientific areas since suitable solutions come from approximate arithmetic
operators, implemented both at hardware and software level, but from unreliable
memory architectures, integrated circuit test, compilers and many others too.
This special issue is dedicated to original research results and achievements by
researcher community working on challenges and issues related to Approximate
Computing

Published

2021

Pages

54–55

Journal

Future Generation Computer Systems-The International Journal of Grid Computing Theory Methods and Applications, vol. 124, no. 1, ISSN 0167-739X

DOI

10.1016/j.future.2021.05.027

UT WoS

000685542700007

EID Scopus

2-s2.0-85106417515

BibTeX

@misc{BUT175800,
  author="BARBARESCHI, M. and BOSIO, A. and SEKANINA, L. and BRAUN, C.",
  title="Editorial: Special issue on Advancing on Approximate Computing: Methodologies, Architectures and Algorithms",
  year="2021",
  journal="Future Generation Computer Systems-The International Journal of Grid Computing Theory Methods and Applications",
  volume="124",
  number="1",
  pages="54--55",
  doi="10.1016/j.future.2021.05.027",
  issn="0167-739X",
  note="editorial"
}