Are there any packages specifically designed to speed up R through parallel computing? I made a very large IP address that needs to be run for a while, so I was wondering if there was a specific package in R that could help me start my IP address. I currently have a function that returns the IP solution and the main line for which R is stuck (very ... very long time) when I use lp (.... all.int = TRUE). My processor is about 12.5% (8 cores) on my Windows computer, and I want it to be around 100
Edit: I tried using the doParallel package,
library('doParallel') cl <- makeCluster(8) registerDoParallel(cl)
But my CPU usage is still not 100%. What else do I need to do? Is there a specific package that speeds up optimization work? Most concurrent packages help with the simulation, and foreach seems to work only for iterative structures / functions used. I just want R to use all my CPU usage.
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