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.

Who is this book for?

What you will learn

Benchmark and profile R programs to solve performance bottlenecks
Understand how CPU, memory, and disk input/output constraints can limit the performance of R programs
Optimize R code to run faster and use less memory
Use compiled code in R and other languages such as C to speed up computations
Harness the power of GPUs for computational speed
Process data sets that are larger than memory using diskbased memory and chunking
Tap into the capacity of multiple CPUs using parallel computing
Leverage the power of advanced database systems and Big Data tools from within R

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Frequently bought together

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