Recent progress with the top to bottom approach to vectorization in GeantV

Recent progress with the top to bottom approach to vectorization in GeantV

SIMD acceleration can potentially boost by factors the application throughput. Achieving efficient SIMD vectorization for scalar code with complex data flow and branching logic, goes however way beyond breaking some loop dependencies and relying on the compiler. Since the refactoring effort scales w...

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Bibliographic Details
Main Authors: Amadio Guilherme, Ananya, Apostolakis John, Bandieramonte Marilena, Behera Shiba, Bhattacharyya Abhijit, Brun René, Canal Philippe, Carminati Federico, Cosmo Gabriele, Drohan Vitaliy, Elvira Daniel, Genser Krzysztof, Andrei Gheata, Mi-haela Gheata, Goulas Ilias, Hariri Farah, Ivanchenko Vladimir, Karpinski Przemislaw, Khattak Gulrukh, Konstantinov Dmitri, Kumawat Harphool, Lima Guilherme, Martínez Castro Jesús, Mendez Patricia, Miranda Aguillar Aldo, Nikolics Katalin, Novak Mihaly, Elena Orlova, Pedro Kevin, Pokorski Witold, Ribon Alberto, Dmitry Savin, Ryan Schmitz, Sehgal Raman, Shadura Oksana, Sharan Shruti, Vallecorsa Sofia, Wenzel Sandro, Yung Jun Soon
Format: Article
Language:English
Published: EDP Sciences 2019-01-01
Series:EPJ Web of Conferences
Online Access:https://www.epj-conferences.org/articles/epjconf/pdf/2019/19/epjconf_chep2018_02007.pdf

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https://www.epj-conferences.org/articles/epjconf/pdf/2019/19/epjconf_chep2018_02007.pdf

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