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Data partitioning strategies for graph workloads on heterog..:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,

LeBeane, Michael ; Song, Shuang ; Panda, Reena.. - p. 1-12 , 2015

Link: https://dl.acm.org/doi/10.1145/2807591.2807632

RT 
T1 <cTitle>Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis</cTitle>: T1 <Title>Data partitioning strategies for graph workloads on heterogeneous clusters</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2807632&Exemplar=1&LAN=DE
				
A1 LeBeane, Michael
A1 Song, Shuang
A1 Panda, Reena
A1 Ryoo, Jee Ho
A1 John, Lizy K.
PB ACM
YR 2015
K1 cloud computing
K1 data center
K1 data partitioning
K1 graph algorithms
K1 heterogeneous
K1 Software and its engineering
K1 Software organization and properties
K1 Contextual software domains
K1 Operating systems
K1 File systems management
K1 Information systems
K1 Information storage systems
K1 Storage management
K1 Memory management
K1 General and reference
K1 Cross-computing tools and techniques
K1 Performance
K1 Networks
K1 Network performance evaluation
K1 Computer systems organization
K1 Dependable and fault-tolerant systems and networks
K1 Mathematics of computing
K1 Discrete mathematics
K1 Graph theory
K1 Graph algorithms
SP 1
OP 12
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2807591.2807632
DO https://dl.acm.org/doi/10.1145/2807591.2807632
SF ELIB - SuUB Bremen

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