Yakushin, Igor
14  Ergebnisse:
Personensuche X
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1

Coupling streaming AI and HPC ensembles to achieve 100–1000..:

, In: 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS),
Brace, Alexander ; Yakushin, Igor ; Ma, Heng... - p. 806-816 , 2022
 
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3

Online data analysis and reduction: An important Co-design ..:

Foster, Ian ; Ainsworth, Mark ; Bessac, Julie...
The International Journal of High Performance Computing Applications.  35 (2021)  6 - p. 617-635 , 2021
 
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4

A codesign framework for online data analysis and reduction:

Mehta, Kshitij ; Allen, Bryce ; Wolf, Matthew...
Concurrency and Computation: Practice and Experience.  34 (2021)  14 - p. , 2021
 
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5

Feature-preserving Lossy Compression for In Situ Data Analy..:

, In: 49th International Conference on Parallel Processing - ICPP : Workshops,
 
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6

A Codesign Framework for Online Data Analysis and Reduction:

, In: 2019 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS),
Mehta, Kshitij ; Allen, Bryce ; Wolf, Matthew... - p. 11-20 , 2019
 
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7

Solving inverse initial-value, boundary-value problems via ..:

Karr, Charles L. ; Yakushin, Igor ; Nicolosi, Keith
Engineering Applications of Artificial Intelligence.  13 (2000)  6 - p. 625-633 , 2000
 
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9

Coherent WaveBurst, a pipeline for unmodeled gravitational-..:

Drago, Marco ; Klimenko, Sergey ; Lazzaro, Claudia...
info:eu-repo/semantics/altIdentifier/wos/WOS:000663433800002.  , 2021
 
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10

coherent WaveBurst, a pipeline for unmodeled gravitational-..:

Drago, Marco ; Klimenko, Sergey ; Lazzaro, Claudia...
info:eu-repo/semantics/altIdentifier/wos/WOS:000663433800002.  , 2021
 
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12

coherent WaveBurst, a pipeline for unmodeled gravitational-..:

Marco Drago ; Sergey Klimenko ; Claudia Lazzaro...
http://www.sciencedirect.com/science/article/pii/S2352711021000236.  , 2021
 
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