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Evaluation of Graph Analytics Frameworks Using the GAP Benc..:

, In: 2020 IEEE International Symposium on Workload Characterization (IISWC),

Azad, Ariful ; Aznaveh, Mohsen Mahmoudi ; Beamer, Scott... - p. 216-227 , 2020

Link: https://doi.org/10.1109/IISWC50251.2020.00029

RT 
T1 <cTitle>2020 IEEE International Symposium on Workload Characterization (IISWC)</cTitle>: T1 <Title>Evaluation of Graph Analytics Frameworks Using the GAP Benchmark Suite</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-9251247&Exemplar=1&LAN=DE
				
A1 Azad, Ariful
A1 Aznaveh, Mohsen Mahmoudi
A1 Beamer, Scott
A1 Blanco, Maia P.
A1 Chen, Jinhao
A1 D'Alessandro, Luke
A1 Dathathri, Roshan
A1 Davis, Tim
A1 Deweese, Kevin
A1 Firoz, Jesun
A1 Gabb, Henry A
A1 Gill, Gurbinder
A1 Hegyi, Balint
A1 Kolodziej, Scott
A1 Low, Tze Meng
A1 Lumsdaine, Andrew
A1 Manlaibaatar, Tugsbayasgalan
A1 Mattson, Timothy G
A1 McMillan, Scott
A1 Peri, Ramesh
A1 Pingali, Keshav
A1 Sridhar, Upasana
A1 Szarnyas, Gabor
A1 Zhang, Yunming
A1 Zhang, Yongzhe
YR 2020
K1 Benchmark testing
K1 Libraries
K1 Kernel
K1 Sparse matrices
K1 Programming
K1 Optimization
K1 Software algorithms
K1 graph algorithms
K1 benchmarking
SP 216
OP 227
LK http://dx.doi.org/https://doi.org/10.1109/IISWC50251.2020.00029
DO https://doi.org/10.1109/IISWC50251.2020.00029
SF ELIB - SuUB Bremen

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