R High Performance Programming

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

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