001     820847
005     20210129224623.0
020 _ _ |a 978-3-319-40526-1 (print)
020 _ _ |a 978-3-319-40528-5 (electronic)
024 7 _ |a 10.1007/978-3-319-40528-5_22
|2 doi
024 7 _ |a WOS:000411331500022
|2 WOS
037 _ _ |a FZJ-2016-06114
041 _ _ |a English
100 1 _ |a Garcia Garcia, Alberto
|0 P:(DE-HGF)0
|b 0
111 2 _ |a SPPEXA Symposium 2016
|c München
|d 2016-01-25 - 2016-01-27
|w Germany
245 _ _ |a Accelerating an FMM-Based Coulomb Solver with GPUs
260 _ _ |a Cham
|c 2016
|b Springer International Publishing
295 1 0 |a Software for Exascale Computing - SPPEXA 2013-2015 / Bungartz, Hans-Joachim (Editor) ; Cham : Springer International Publishing, 2016, Chapter 22 ; ISSN: 1439-7358=2197-7100 ; ISBN: 978-3-319-40526-1=978-3-319-40528-5
300 _ _ |a 485 - 504
336 7 _ |a CONFERENCE_PAPER
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336 7 _ |a Conference Paper
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336 7 _ |a INPROCEEDINGS
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336 7 _ |a Contribution to a book
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490 0 _ |a Lecture Notes in Computational Science and Engineering
|v 113
520 _ _ |a The simulation of long-range electrostatic interactions in huge particle ensembles is a vital issue in current scientific research. The Fast Multipole Method (FMM) is able to compute those Coulomb interactions with extraordinary speed and controlled precision. A key part of this method are its shifting operators, which usually exhibit O(p^4) complexity. Some special rotation-based operators with O(p^3) complexity can be used instead. However, they are still computationally expensive. Here we report on the parallelization of those operators that have been implemented for a GPU cluster to speed up the FMM calculations.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
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536 _ _ |0 G:(GEPRIS)230673686
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|c 230673686
|a GromEx - Highly Scalable Unified Long-Range Electrostatics and Flexible Ionization for Realistic Biomolecular Simulations on the Exascale (230673686)
588 _ _ |a Dataset connected to CrossRef Book Series
700 1 _ |a Beckmann, Andreas
|0 P:(DE-Juel1)157750
|b 1
700 1 _ |a Kabadshow, Ivo
|0 P:(DE-Juel1)132152
|b 2
|e Corresponding author
773 _ _ |a 10.1007/978-3-319-40528-5_22
909 C O |o oai:juser.fz-juelich.de:820847
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910 1 _ |a Forschungszentrum Jülich
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910 1 _ |a Forschungszentrum Jülich
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913 1 _ |a DE-HGF
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|v Computational Science and Mathematical Methods
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|l Supercomputing & Big Data
914 1 _ |y 2016
915 _ _ |a No Authors Fulltext
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920 1 _ |0 I:(DE-Juel1)JSC-20090406
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