Performance and scalability : parallelization.

Matt Denny explains how to speed pre-processing of data using two kinds of parallelization in R: running a parallel for() loop, and running parallel tasks with clusterApplyLB() in multiple instances of R.

Bibliographic Details
Other Authors:	Denny, Matthew (Speaker)
Format:	Video
Language:	English
Language Notes:	Closed-captions in English.
Published:	London : SAGE Publications Ltd, 2017.
Series:	Practical Data Management with R ; 55.
Subjects:	Computer networks > Scalability. Parallel processing (Electronic computers) Computer programming. R (Computer program language) Subroutines (Computer programs) Réseaux d'ordinateurs > Extensibilité. Parallélisme (Informatique) Programmation (Informatique) R (Langage de programmation) Sous-programmes (Logiciels) computer programming. Computer networks > Scalability Computer programming
Online Access:	Connect to this streaming video

Description
Summary:	Matt Denny explains how to speed pre-processing of data using two kinds of parallelization in R: running a parallel for() loop, and running parallel tasks with clusterApplyLB() in multiple instances of R.
Physical Description:	1 online resource (1 video file (00:21:30)) : sound, colour.
ISBN:	9781526473424 1526473429