Graphic CPU usage in R
HI all, I'm a Linux user and (Ubuntu 18.04) and I was trying to find a way to speed up my R code. Reading on the web I found than some packages such as parallel or gpuR have been developed to allow faster calculation in R. Anyway I was wondering whether any other ways were available. My question concern how to speed up old R codes involving GIS procedures and mainly using rgdal, raster, biomod2, dismo, sp or other Spatial packages. According to this post (here <https://starbeamrainbowlabs.com/blog/article.php?article=posts%2F254-run-program-on-amd-dedicated-graphics-card.html>) it seems that as linuk user we can launch a specific program using GPU so I was wondering if this could be used with R. In other words I would like to solve the issue from the beginning, opening an R session from terminal running on the GPU instead of on CPU(s). Is it possible? Does anyone has experience on it? Here <https://www.researchgate.net/post/Parallel_computing_and_graphic_CPU_GCPU_usage_in_R_is_it_possible_with_ALL_R_packages> the question I opened on ResearchGate. Thank you in advance and happy new year to everybody
*Maurizio Marchi, PhD Forest Science - Ecological Mathematics* Researcher CNR - Institute of Biosciences and BioResources (IBBR), Florence division (Italy) SkypeID: maurizioxyz http://ibbr.cnr.it/ibbr/info/people/maurizio-marchi #####------##### Annals of Silvicultural Research Associated Editor EUFGIS National Focal Point for Italy (www.eufgis.org) Scopus Author ID: 57188626512 ResearcherID: T-3813-2019 http://b4est.eu/ project [[alternative HTML version deleted]]