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R High Performance Programming
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R High Performance Programming
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Overview of this book
This book is for programmers and developers who want to improve the performance of their R programs by making them run faster with large data sets or who are trying to solve a pesky performance problem.
Table of Contents (12 chapters)
Preface
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1. Understanding R's Performance – Why Are R Programs Sometimes Slow?
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2. Profiling – Measuring Code's Performance
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3. Simple Tweaks to Make R Run Faster
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4. Using Compiled Code for Greater Speed
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5. Using GPUs to Run R Even Faster
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6. Simple Tweaks to Use Less RAM
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7. Processing Large Datasets with Limited RAM
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8. Multiplying Performance with Parallel Computing
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9. Offloading Data Processing to Database Systems
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10. R and Big Data
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Index
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