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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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, Gheata, Andrei, Gheata, Mihaela, 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, Orlova, Elena, Pedro, Kevin, Pokorski, Witold, Ribon, Alberto, Savin, Dmitry, Schmitz, Ryan, Sehgal, Raman, Shadura, Oksana, Sharan, Shruti, Vallecorsa, Sofia, Wenzel, Sandro, Jun, Soon Yung
Lenguaje:eng
Publicado: 2019
Materias:
Computing and Computers
Acceso en línea:https://dx.doi.org/10.1051/epjconf/201921402007
http://cds.cern.ch/record/2701778

Internet

https://dx.doi.org/10.1051/epjconf/201921402007
http://cds.cern.ch/record/2701778

Ejemplares similares