Concurrent Cuba

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• 作者：T. Hahn ^{hahn@mpp.mpg.de" class="auth_mail" title="E-mail the corresponding author}
• 关键词：Multidimensional numerical integration ; Parallelization ; Concurrent sampling
• 刊名：Computer Physics Communications
• 出版年：2016
• 出版时间：October 2016
• 年：2016
• 卷：207
• 期：Complete
• 页码：341-349
• 全文大小：486 K

文摘

The parallel version of the multidimensional numerical integration package Cuba is presented and achievable speed-ups discussed. The parallelization is based on the fork/wait POSIX functions, needs no extra software installed, imposes almost no constraints on the integrand function, and works largely automatically.

Program summary

Program title: Cuba

Catalogue identifier: ADVH_v4_2

Program summary URL:http://cpc.cs.qub.ac.uk/summaries/ADVH_v4_2.html

Program obtainable from: CPC Program Library, Queen’s University, Belfast, N. Ireland

Licensing provisions: yes

No. of lines in distributed program, including test data, etc.: 30720

No. of bytes in distributed program, including test data, etc.: 729941

Distribution format: tar.gz

Programming language: C.

Computer: Designed for: all platforms with an ISO C99 C Compiler.

Tested on: x86-Linux/gcc, x86-MacOS/clang, x86-Windows/Cygwin-gcc.

Operating system: Linux, Mac OS, Windows(Cygwin).

Has the code been vectorized or parallelized?: Yes, Parallelized

RAM: 1M words

Classification: 4.11.

Does the new version supersede the previous version?: Yes

Nature of problem: Multidimensional numerical integrations, e.g. of phase spaces.

Solution method: The Cuba library contains the four algorithms Vegas, Suave,

Divonne, and Cuhre with the following characteristics:

Reasons for new version: Parallelization

Summary of revisions: Version 4.2 adds parallelization based on the fork/wait POSIX functions. This means that no extra software needs to be installed, almost no constraints are imposed on the integrand function, and the parallelization works largely automatically.

Unusual features: Coherent interface in Fortran, C/C++, and Mathematica. Can integrate vector integrands.

Running time: Varies greatly depending on the integrand and the chosen accuracy. Can range from seconds to days.