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BARBARESCHI, M. BOSIO, A. SEKANINA, L. BRAUN, C.
Original Title
Editorial: Special issue on Advancing on Approximate Computing: Methodologies, Architectures and Algorithms
Type
editorial
Language
English
Original 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
Keywords
approximate circuit, approximate computing, error modeling and propagation, inherent error resiliency
Authors
BARBARESCHI, M.; BOSIO, A.; SEKANINA, L.; BRAUN, C.
Released
30. 6. 2021
ISBN
0167-739X
Periodical
Future Generation Computer Systems-The International Journal of Grid Computing Theory Methods and Applications
Year of study
124
Number
1
State
Kingdom of the Netherlands
Pages from
54
Pages to
55
Pages count
2
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" }