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GeantV: Results from the prototype of concurrent vector particle transport simulation in HEP | G. Amadio
; A. Ananya
; J. Apostolakis
; M. Bandieramonte
; S. Banerjee
; A. Bhattacharyya
; C. Bianchini
; G. Bitzes
; P. Canal
; F. Carminati
; O. Chaparro-Amaro
; G. Cosmo
; J. C. De Fine Licht
; V. Drogan
; L. Duhem
; D. Elvira
; J. Fuentes
; A. Gheata
; M. Gheata
; M. Gravey
; I. Goulas
; F. Hariri
; S. Y. Jun
; D. Konstantinov
; H. Kumawat
; J. G. Lima
; A. Maldonado-Romo
; J. Martínez-Castro
; P. Mato
; T. Nikitina
; S. Novaes
; M. Novak
; K. Pedro
; W. Pokorski
; A. Ribon
; R. Schmitz
; R. Seghal
; O. Shadura
; E. Tcherniaev
; S. Vallecorsa
; S. Wenzel
; Y. Zhang
; | Date: |
3 May 2020 | Abstract: | Full detector simulation was among the largest CPU consumer in all CERN
experiment software stacks for the first two runs of the Large Hadron Collider
(LHC). In the early 2010’s, the projections were that simulation demands would
scale linearly with luminosity increase, compensated only partially by an
increase of computing resources. The extension of fast simulation approaches to
more use cases, covering a larger fraction of the simulation budget, is only
part of the solution due to intrinsic precision limitations. The remainder
corresponds to speeding-up the simulation software by several factors, which is
out of reach using simple optimizations on the current code base. In this
context, the GeantV R&D project was launched, aiming to redesign the legacy
particle transport codes in order to make them benefit from fine-grained
parallelism features such as vectorization, but also from increased code and
data locality. This paper presents extensively the results and achievements of
this R&D, as well as the conclusions and lessons learnt from the beta
prototype. | Source: | arXiv, 2005.0949 | Services: | Forum | Review | PDF | Favorites |
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