print

An optimization framework for dynamic pipeline management in computing systems

author
Naqvi, Syed Rameez
Zahid, Anjum
Sawalha, Lina
Jenihhin, Maksim
statement of authorship
Syed Rameez Naqvi, Anjum Zahid, Lina Sawalha, Syed Saud Naqvi, Tallha Akram, Sajjad Ali Haider, Kumar Yelamarthi, Maksim Jenihhin
source
Computers & electrical engineering
publisher
Elsevier
journal volume number month
vol. 78
year of publication
2019
pages
p. 242-258 : ill
url
https://doi.org/10.1016/j.compeleceng.2019.07.013
subject term
riistvara
geneetilised algoritmid
optimeerimine
tõrketaluvus
keyword
computer pipelines
nonlinear
collision avoidance
reservation table
optimization
genetic algorithm
ISSN
0045-7906
notes
Bibliogr.: 25 ref
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Computer science
Engineering
category (sub)
Computer science. General computer science
Engineering. Control and systems engineering
Engineering. Electrical and electronic engineering
kvartiil
Q1
TTÜ department
arvutisüsteemide instituut
language
inglise
Uurimisrühm
Centre for trustworthy and efficient computing hardware (TECH)
Centre of dependable computing systems
Naqvi, S. R., Anjum, Z., Sawalha, L., Jenihhin, M. et al. An optimization framework for dynamic pipeline management in computing systems // Computers & electrical engineering (2019) vol. 78, p. 242-258 : ill. https://doi.org/10.1016/j.compeleceng.2019.07.013