Parallel computing for optimisation in calibrar

Ricardo Oliveros-Ramos

2026-04-22

This vignette introduces and provides a structured starting point for documenting the relevant functions and workflows.

Overview

TODO

Minimal parallel setup (laptop)

TODO

Parallel backends in practice (HPC / clusters)

TODO

Reproducibility with parallel execution

TODO

Parallel finite-difference gradients with optim2()

TODO

Common pitfalls

TODO

Reproducibility

sessionInfo()
#> R version 4.5.3 (2026-03-11 ucrt)
#> Platform: x86_64-w64-mingw32/x64
#> Running under: Windows 10 x64 (build 19045)
#> 
#> Matrix products: default
#>   LAPACK version 3.12.1
#> 
#> locale:
#> [1] LC_COLLATE=Spanish_Peru.utf8  LC_CTYPE=Spanish_Peru.utf8   
#> [3] LC_MONETARY=Spanish_Peru.utf8 LC_NUMERIC=C                 
#> [5] LC_TIME=Spanish_Peru.utf8    
#> 
#> time zone: Europe/Paris
#> tzcode source: internal
#> 
#> attached base packages:
#> [1] stats     graphics  grDevices utils     datasets  methods   base     
#> 
#> other attached packages:
#> [1] calibrar_0.9.0.9011
#> 
#> loaded via a namespace (and not attached):
#>  [1] cli_3.6.5           knitr_1.51          rlang_1.1.7        
#>  [4] xfun_0.57           stringi_1.8.7       otel_0.2.0         
#>  [7] textshaping_1.0.5   minqa_1.2.8         jsonlite_2.0.0     
#> [10] glue_1.8.0          htmltools_0.5.9     pracma_2.4.6       
#> [13] ragg_1.5.2          sass_0.4.10         rmarkdown_2.31     
#> [16] evaluate_1.0.5      jquerylib_0.1.4     fastmap_1.2.0      
#> [19] numDeriv_2016.8-1.1 yaml_2.3.12         foreach_1.5.2      
#> [22] lifecycle_1.0.5     stringr_1.6.0       compiler_4.5.3     
#> [25] codetools_0.2-20    fs_2.0.1            Rcpp_1.1.1         
#> [28] htmlwidgets_1.6.4   systemfonts_1.3.2   digest_0.6.39      
#> [31] nloptr_2.2.1        optimx_2025-4.9     R6_2.6.1           
#> [34] magrittr_2.0.4      bslib_0.10.0        tools_4.5.3        
#> [37] iterators_1.0.14    pkgdown_2.2.0       cachem_1.1.0       
#> [40] desc_1.4.3