Software Alchemy: Turning Complex Statistical Computations into Embarrassingly-Parallel Ones
Norman Matloff · Journal of Statistical Software · 2016
The growth in the use of computationally intensive statistical procedures, especially with big data, has necessitated the usage of parallel computation on diverse platforms such as multicore, GPUs, clusters and clouds. However, slowdown due to interprocess communication costs typically limits such methods to