Contribution to a conference proceedings/Internal Report

PUBDB-2015-05365

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Estimation of GPU acceleration in NMR medical imaging reconstruction for realtime applications

Palombo, M. ; Bauce, M. ; Messina, A. ; Lamanna, G. ; Capuani, S.

2015
Deutsches Elektronen-Synchrotron, DESY Hamburg

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Please use a persistent id in citations: doi:10.3204/DESY-PROC-2014-05/37

Report No.: DESY-PROC-2014-05

Abstract: This Conference focuses on the application of GPUs in High Energy Physics (HEP), expanding on the trend of previous workshops on the topic and pointing to establishing a recurrent series. All different applications of massively parallel computing in HEP will be addressed, from computational speed-ups in online and offline data selection and analysis to hard real-time applications in low-level triggering, to Monte Carlo simulations for lattice QCD. Both current activities and plans on foreseen experiments and projects will be discussed, together with perspectives on the evolution of the hardware and software.

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Contributing Institute(s):

1. Bibliothek und Dokumentation (L)

Research Program(s):

1. 899 - ohne Topic (POF3-899) (POF3-899)

Experiment(s):

1. HERA: H1

Appears in the scientific report 2015

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Database coverage:

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Linked articles:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Proceedings/Internal Report Bonati, C. (Editor) ; D'Elia, M. (Editor) ; Lamanna, G. (Editor) ; Sozzi, M. (Editor)
Proceedings, GPU Computing in High-Energy Physics (GPUHEP2014) : Pisa, Italy, September 10-12, 2014
2014GPU Computing in High-Energy Physics, GPUHEP2014, PisaPisa, Italy, 10 Sep 2014 - 12 Sep 20142014-09-102014-09-12 Hamburg : Deutsches Elektronen-Synchrotron, DESY (2014) [10.3204/DESY-PROC-2014-05]2014     Files BibTeX | EndNote: XML, Text | RIS

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