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A multi-threaded version of MCFM
by
Giele, Walter T.
, Campbell, John M.
, Ellis, R. Keith
in
Adjustment
/ Astronomy
/ Astrophysics and Cosmology
/ Elementary Particles
/ Hadrons
/ Heavy Ions
/ Iterative methods
/ Measurement Science and Instrumentation
/ Microprocessors
/ Monte Carlo methods
/ Multiprocessing
/ Nuclear Energy
/ Nuclear Physics
/ Numerical integration
/ Physics
/ Physics and Astronomy
/ PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
/ Quantum Field Theories
/ Quantum Field Theory
/ Routines
/ Special Article - Tools for Experiment and Theory
/ String Theory
2015
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A multi-threaded version of MCFM
by
Giele, Walter T.
, Campbell, John M.
, Ellis, R. Keith
in
Adjustment
/ Astronomy
/ Astrophysics and Cosmology
/ Elementary Particles
/ Hadrons
/ Heavy Ions
/ Iterative methods
/ Measurement Science and Instrumentation
/ Microprocessors
/ Monte Carlo methods
/ Multiprocessing
/ Nuclear Energy
/ Nuclear Physics
/ Numerical integration
/ Physics
/ Physics and Astronomy
/ PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
/ Quantum Field Theories
/ Quantum Field Theory
/ Routines
/ Special Article - Tools for Experiment and Theory
/ String Theory
2015
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Do you wish to request the book?
A multi-threaded version of MCFM
by
Giele, Walter T.
, Campbell, John M.
, Ellis, R. Keith
in
Adjustment
/ Astronomy
/ Astrophysics and Cosmology
/ Elementary Particles
/ Hadrons
/ Heavy Ions
/ Iterative methods
/ Measurement Science and Instrumentation
/ Microprocessors
/ Monte Carlo methods
/ Multiprocessing
/ Nuclear Energy
/ Nuclear Physics
/ Numerical integration
/ Physics
/ Physics and Astronomy
/ PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
/ Quantum Field Theories
/ Quantum Field Theory
/ Routines
/ Special Article - Tools for Experiment and Theory
/ String Theory
2015
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Journal Article
A multi-threaded version of MCFM
2015
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Overview
We report on our findings modifying MCFM using OpenMP to implement multi-threading. By using OpenMP, the modified MCFM will execute on any processor, automatically adjusting to the number of available threads. We modified the integration routine VEGAS to distribute the event evaluation over the threads, while combining all events at the end of every iteration to optimize the numerical integration. Special care has been taken that the results of the Monte Carlo integration are independent of the number of threads used, to facilitate the validation of the OpenMP version of MCFM.
Publisher
Springer Berlin Heidelberg,Springer,Springer Nature B.V
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