Shao Qin Lim / W Chandra R High Performance Programming

Overcome performance difficulties in R with a range of exciting techniques and solutions
1. Auflage 2025
ISBN: 978-1-78398-927-0
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 176 Seiten

Key FeaturesBook DescriptionThis 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.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
Who this book is forThis 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.

Autoren/Hrsg.

Shao Qin Lim, Aloysius

W Chandra, Tjhi

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Über Autor(innen)

Shao Qin Lim Aloysius :

Aloysius Lim has a knack for translating complex data and models into easy-to-understand insights. As cofounder of About People, a data science and design consultancy, he loves solving problems and helping others to find practical solutions to business challenges using data. His breadth of experience—7 years in the government, education, and retail industries—equips him with unique perspectives to find creative solutions.