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  FPGA Acceleration of Bayesian Model Based Analysis for Time-independent Problems

Trimino Mora, H., Bozhenkov, S., Knauer, J., Kornejew, P., Kwak, S., Ford, O., et al. (2018). FPGA Acceleration of Bayesian Model Based Analysis for Time-independent Problems. In 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP) (pp. 774-778). New York, NY: IEEE. doi:10.1109/GlobalSIP.2017.8309065.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-0783-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-7BF5-0
Genre: Conference Paper

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trimino mora_fpga.pdf (Supplementary material), 643KB
 
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https://doi.org/10.1109/GlobalSIP.2017.8309065 (Publisher version)
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 Creators:
Trimino Mora, H.1, Author              
Bozhenkov, S.1, Author              
Knauer, J.1, Author              
Kornejew, P.2, Author              
Kwak, S.3, Author              
Ford, O.1, Author              
Fuchert, G.1, Author              
Pasch, E.1, Author              
Svensson, J.3, Author              
Werner, A.4, Author              
Wolf, R. C.1, Author              
Timmermann, D.5, Author
Affiliations:
1Stellarator Heating and Optimisation (E3), Max Planck Institute for Plasma Physics, Max Planck Society, ou_2040305              
2Stellarator Edge and Divertor Physics (E4), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856286              
3Stellarator Dynamics and Transport (E5), Max Planck Institute for Plasma Physics, Max Planck Society, ou_2040306              
4W7-X: Operations (OP), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856342              
5External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20172018
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1109/GlobalSIP.2017.8309065
 Degree: -

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Title: 5th IEEE Global Conference on Signal and Information Processing (GlobalSIP 2017)
Place of Event: Montreal
Start-/End Date: 2017-11-14 - 2017-11-16

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Title: 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
Source Genre: Proceedings
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Publ. Info: New York, NY : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 774 - 778 Identifier: -