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
  • [41] HEAVY FLAVOR PRODUCTION AT HERA - SIMULATION WITH A NEW MONTE-CARLO EVENT GENERATOR
    ABBIENDI, G
    STANCO, L
    ZEITSCHRIFT FUR PHYSIK C-PARTICLES AND FIELDS, 1991, 51 (01): : 81 - 87
  • [42] BHAGEN-1PH: A Monte Carlo event generator for radiative Bhabha scattering
    Caffo, M
    Czyz, H
    COMPUTER PHYSICS COMMUNICATIONS, 1997, 100 (1-2) : 99 - 118
  • [43] Parallel quasi-Monte Carlo integration using (t,s)-sequences
    Schmid, WC
    Uhl, A
    PARALLEL COMPUTATION, 1999, 1557 : 96 - 106
  • [44] An Adaptive Monte Carlo Test for Uncertain Discrete-Event Dynamic Systems
    Chen, Xinjia
    Al Sharab, Jafar
    Islam, Rafiqul
    Jannik, Adam
    UNMANNED SYSTEMS TECHNOLOGY XXIV, 2022, 12124
  • [45] Monte Carlo integration on GPU
    Kanzaki, J.
    EUROPEAN PHYSICAL JOURNAL C, 2011, 71 (02):
  • [46] Monte Carlo integration with subtraction
    Arthur, Rudy
    Kennedy, A. D.
    COMPUTER PHYSICS COMMUNICATIONS, 2013, 184 (12) : 2794 - 2802
  • [47] The CCFM Monte Carlo generator CASCADE
    Jung, H
    COMPUTER PHYSICS COMMUNICATIONS, 2002, 143 (01) : 100 - 111
  • [48] The GENIE neutrino Monte Carlo generator
    Andreopoulos, C.
    Bell, A.
    Bhattacharya, D.
    Cavanna, F.
    Dobson, J.
    Dytman, S.
    Gallagher, H.
    Guzowski, P.
    Hatcher, R.
    Kehayias, P.
    Meregaglia, A.
    Naples, D.
    Pearce, G.
    Rubbia, A.
    Whalley, M.
    Yang, T.
    NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 2010, 614 (01): : 87 - 104
  • [49] Monte-carlo integration using cryptographically secure pseudo-random generator
    Sugita, H
    NUMERICAL METHODS AND APPLICATIONS, 2003, 2542 : 140 - 146
  • [50] Amortized Monte Carlo Integration
    Golinski, Adam
    Wood, Frank
    Rainforth, Tom
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 97, 2019, 97
12345