CERN Accelerating science

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Recent progress with the top to bottom approach to vectorization in GeantV / Amadio, Guilherme (CERN) ; Ananya ; Apostolakis, John (CERN) ; Bandieramonte, Marilena (CERN ; U. Pittsburgh (main)) ; Behera, Shiba (Bhabha Atomic Res. Ctr.) ; Bhattacharyya, Abhijit (Bhabha Atomic Res. Ctr.) ; Brun, René (CERN) ; Canal, Philippe (Fermilab) ; Carminati, Federico (CERN) ; Cosmo, Gabriele (CERN) et al.
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. [...]
2019 - 8 p. - Published in : EPJ Web Conf. 214 (2019) 02007 Fulltext from publisher: PDF;
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.02007

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