parallel - Vik's Blog

Parallel R Model Prediction Building and Analytics

Modifying R code to run in parallel can lead to huge performance gains. Although a significant amount of code can easily be run in parallel, there are some learning techniques, such as the Support Vector Machine, that cannot be easily parallelized. However, there is an often overlooked way to speed

linux

Parallel R Loops in Windows and Linux

Parallel computation may seem difficult to implement and a pain to use, but it is actually quite simple to use. The foreach package provides the basic loop structure, which can utilize various parallel backends to execute the loop in parallel. First, let’s go over the basic structure of a

ruby

Create a new ruby process in Windows

I recently had a problem whereby I needed one Ruby program to spawn another Ruby program, but I did not need or want the two programs to interact after the second program was instantiated. I solved this issue by using the system function in Ruby and the Windows start command.