Through this practical and varied guide R High Performance Programming, you will become equipped to solve a range of performance problems in R programming. You will learn how to profile and benchmark R programs, identify bottlenecks, assess and identify performance limitations from the CPU. (Limited-time offer)
Table of Contents
- 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
Download Free PDF / Read Online
Author(s): Aloysius Lim, William Tjhi
Publisher: Packt Publishing
Published: January 2015
Format(s): Online
File size: –
Number of pages: 176
Download / View Link(s): This offer has ended.
Free as of 02/14/2023
Publisher: Packt Publishing
Published: January 2015
Format(s): Online
File size: –
Number of pages: 176
Download / View Link(s): This offer has ended.
Free as of 02/14/2023