Mastering Parallel Programming with R > PACKT 원서리스트

1: Simple Parallelism with R
Aristotle's Number Puzzle
The R parallel package
The segue package
Summary

2: Introduction to Message Passing
Setting up your system environment for MPI
The MPI standard
The MPI API
Summary

3: Advanced Message Passing
Grid parallelism
Inspecting and managing communications
Variants on lapply()
Summary

4: Developing SPRINT, an MPI-Based R Package for Supercomputers
About ARCHER
Calling MPI code from R
Building an MPI R package – SPRINT
Adding a new function to the SPRINT package
Genomics analysis case study
Genomics with a supercomputer
Summary

5: The Supercomputer in Your Laptop
OpenCL
The ROpenCL package
Summary

6: The Art of Parallel Programming
Understanding parallel efficiency
Numerical approximation
Random numbers
Deadlock
Reducing the parallel overhead
Adaptive load balancing
Three steps to successful parallelization
What does the future hold?
Hybrid parallelism
Summary
backindex: Appendix A: Index