Parallel adaptive Monte Carlo integration with the event generator WHIZARD

被引:0
|
作者
Simon Brass
Wolfgang Kilian
Jürgen Reuter
机构
[1] University of Siegen,
[2] Department of Physics,undefined
[3] DESY Theory Group,undefined
来源
The European Physical Journal C | 2019年 / 79卷
关键词
D O I
暂无
中图分类号
学科分类号
摘要
We describe a new parallel approach to the evaluation of phase space for Monte-Carlo event generation, implemented within the framework of the Whizard package. The program realizes a twofold self-adaptive multi-channel parameterization of phase space and makes use of the standard OpenMP and MPI protocols for parallelization. The modern MPI3 feature of asynchronous communication is an essential ingredient of the computing model. Parallel numerical evaluation applies both to phase-space integration and to event generation, thus covering computing-intensive parts of physics simulation for a realistic collider environment.
引用
收藏
相关论文
共 50 条
  • [21] Vegas revisited: Adaptive Monte Carlo integration beyond factorization
    Ohl, T
    COMPUTER PHYSICS COMMUNICATIONS, 1999, 120 (01) : 13 - 19
  • [22] Vegas revisited: adaptive Monte Carlo integration beyond factorization
    Darmstadt University of Technology, SchloBGartenstr. 9, D-64289 Darmstadt, Germany
    Comput Phys Commun, 1 (13-19):
  • [23] Error analysis of an adaptive Monte Carlo method for numerical integration
    Karaivanova, A
    Dimov, I
    MATHEMATICS AND COMPUTERS IN SIMULATION, 1998, 47 (2-5) : 201 - 213
  • [24] Challenges in Monte Carlo Event Generator Software for High-Luminosity LHC
    Valassi A.
    Yazgan E.
    McFayden J.
    Amoroso S.
    Bendavid J.
    Buckley A.
    Cacciari M.
    Childers T.
    Ciulli V.
    Frederix R.
    Frixione S.
    Giuli F.
    Grohsjean A.
    Gütschow C.
    Höche S.
    Hopkins W.
    Ilten P.
    Konstantinov D.
    Krauss F.
    Li Q.
    Lönnblad L.
    Maltoni F.
    Mangano M.
    Marshall Z.
    Mattelaer O.
    Fernandez Menendez J.
    Mrenna S.
    Muralidharan S.
    Neumann T.
    Plätzer S.
    Prestel S.
    Roiser S.
    Schönherr M.
    Schulz H.
    Schulz M.
    Sexton-Kennedy E.
    Siegert F.
    Siódmok A.
    Stewart G.A.
    Computing and Software for Big Science, 2021, 5 (1)
  • [25] A NEW MONTE-CARLO EVENT GENERATOR FOR HIGH-ENERGY PHYSICS
    KAWABATA, S
    COMPUTER PHYSICS COMMUNICATIONS, 1986, 41 (01) : 127 - 153
  • [26] Monte Carlo event generator for initial conditions of conserved charges in nuclear geometry
    Carzon, Patrick
    Martinez, Mauricio
    Sievert, Matthew D.
    Wertepny, Douglas E.
    Noronha-Hostler, Jacquelyn
    PHYSICAL REVIEW C, 2022, 105 (03)
  • [27] MULTIPHOTON MONTE-CARLO EVENT GENERATOR FOR BHABHA SCATTERING AT SMALL ANGLES
    JADACH, S
    WARD, BFL
    PHYSICAL REVIEW D, 1989, 40 (11): : 3582 - 3589
  • [28] THE STUDY OF NEUTRINO-NUCLEUS INTERACTIONS USING A MONTE CARLO EVENT GENERATOR
    Chesneanu, Daniela
    Jipa, Alexandru
    Lazanu, Ionel
    UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN-SERIES A-APPLIED MATHEMATICS AND PHYSICS, 2012, 74 (02): : 161 - 167
  • [29] PHASE, a Monte Carlo event generator for six-fermion physics at the LHC
    Accomando, E
    Ballestrero, A
    Maina, E
    JOURNAL OF HIGH ENERGY PHYSICS, 2005, (07):
  • [30] Parallel pseudorandom number generator for large-scale Monte Carlo simulations
    Marchenko, Mikhail
    PARALLEL COMPUTING TECHNOLOGIES, PROCEEDINGS, 2007, 4671 : 276 - 282