Parallel Random Trees/Forest
Where can I find more detailed information on how to run the random trees/forest package in parallel? Is parallel random trees even implemented in OpenCV? Since each tree is independent of the others, the method obviously lends well to parallelization. Currently, I am training/predicting using a single CPU but would like to use as many CPUs as is available to me.
java's spark (based on hadoop) has a parallel tree-building algorithm. there is also a paper by google on mapreduce and rf http://static.googleusercontent.com/media/research.google.com/en/us/pubs/archive/36296.pdf. i'm also trying to figure out how to use open cv in parallel
also keep in mind that there are different ways to parallel. there is shared memory, global file system and mapreduce-type.