datasetposted on 18.07.2019 by Thomas Hahn
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
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. Previous versions of this program (ADVH_v1_0 and ADVH_v1_3) may be found at http://dx.doi.org/10.1016/j.cpc.2005.01.010 and http://dx.doi.org/10.1016/j.cpc.2007.03.006, respectively).