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R High Performance Programming

You're reading from  R High Performance Programming

Product type Book
Published in Jan 2015
Publisher
ISBN-13 9781783989263
Pages 176 pages
Edition 1st Edition
Languages

Table of Contents (17) Chapters

R High Performance Programming
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Understanding R's Performance – Why Are R Programs Sometimes Slow? Profiling – Measuring Code's Performance Simple Tweaks to Make R Run Faster Using Compiled Code for Greater Speed Using GPUs to Run R Even Faster Simple Tweaks to Use Less RAM Processing Large Datasets with Limited RAM Multiplying Performance with Parallel Computing Offloading Data Processing to Database Systems R and Big Data Index

Summary


In this chapter, we learned how to speed certain computations in R by leveraging GPUs. Given that most computers today come with a GPU, this gives a quick opportunity to improve the performance of R programs. This is especially true with the growing number of packages that interface R with GPUs. Some, such as gputools, require no knowledge of CUDA or OpenCL at all. GPUs do not guarantee improved performance for all tasks.

In the next chapter, we will turn our attention to address RAM-related issues in R programs.

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