Fun with ddR: Using Distributed Data Structures in R by Edward Ma and Vishrut Gupta (Hewlett Packard Enterprise).
From the post:
A few weeks ago, we revealed ddR (Distributed Data-structures in R), an exciting new project started by R-Core, Hewlett Packard Enterprise, and others that provides a fresh new set of computational primitives for distributed and parallel computing in R. The package sets the seed for what may become a standardized and easy way to write parallel algorithms in R, regardless of the computational engine of choice.
In designing ddR, we wanted to keep things simple and familiar. We expose only a small number of new user functions that are very close in semantics and API to their R counterparts. You can read the introductory material about the package here. In this post, we show how to use ddR functions.
…
Imagine that you are trapped after an indeterminate holiday meal in the TV room where A Christmas Story is playing for the fourth time that day.
You are at the point of saying/doing something that will offend the living members of your spouses family and generations to come.
What can you do?
Surely your powers of concentration exceed those of bridge players who claim to not see naked people cavorting about during bridge games.
Pull up the ddR post on your smartphone, read it and jump to the documentation and/or example programs.
You will have to be woken out of your reverie and handed your coat when it is time to go.
Well, maybe not exactly but it beats the hell out of biting one of your smaller relatives.