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Large-scale compute-intensive analysis via a combined in-si..:

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

Sewell, Christopher ; Heitmann, Katrin ; Finkel, Hal... - p. 1-11 , 2015

Link: https://dl.acm.org/doi/10.1145/2807591.2807663

RT 
T1 <cTitle>Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis</cTitle>: T1 <Title>Large-scale compute-intensive analysis via a combined in-situ and co-scheduling workflow approach</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-2807663&Exemplar=1&LAN=DE
				
A1 Sewell, Christopher
A1 Heitmann, Katrin
A1 Finkel, Hal
A1 Zagaris, George
A1 Parete-Koon, Suzanne T.
A1 Fasel, Patricia K.
A1 Pope, Adrian
A1 Frontiere, Nicholas
A1 Lo, Li-ta
A1 Messer, Bronson
A1 Habib, Salman
A1 Ahrens, James
PB ACM
YR 2015
K1 Applied computing
K1 Enterprise computing
K1 Business process management
K1 Social and professional topics
K1 Professional topics
K1 Management of computing and information systems
K1 Project and people management
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Machine learning theory
K1 Reinforcement learning
K1 Sequential decision making
K1 Networks
K1 Network performance evaluation
K1 General and reference
K1 Cross-computing tools and techniques
K1 Performance
K1 Computer systems organization
K1 Dependable and fault-tolerant systems and networks
K1 Design and analysis of algorithms
K1 Approximation algorithms analysis
K1 Scheduling algorithms
K1 Online algorithms
K1 Online learning algorithms
SP 1
OP 11
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2807591.2807663
DO https://dl.acm.org/doi/10.1145/2807591.2807663
SF ELIB - SuUB Bremen

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