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Mastering Parallel Programming with R
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Index
ThisbookisforRprogrammerswhowanttostepbeyonditsinherentsingle-threadedandrestrictedmemorylimitationsandlearnhowtoimplementhighlyacceleratedandscalablealgorithmsthatareanecessityfortheperformantprocessingofBigData.Nopreviousknowledgeofparallelismisrequired.Thisbookalsoprovidesforthemoreadvancedtechnicalprogrammerseekingtogobeyondhighlevelparallelframeworks.
目錄(53章)
倒序
- coverpage
- Mastering Parallel Programming with R
- Credits
- About the Authors
- About the Reviewers
- www.PacktPub.com
- eBooks discount offers and more
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Chapter 1. Simple Parallelism with R
- Aristotle's Number Puzzle
- The R parallel package
- The segue package
- Summary
- Chapter 2. Introduction to Message Passing
- Setting up your system environment for MPI
- The MPI standard
- The MPI API
- Summary
- Chapter 3. Advanced Message Passing
- Grid parallelism
- Inspecting and managing communications
- Variants on lapply()
- Summary
- Chapter 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
- Chapter 5. The Supercomputer in Your Laptop
- OpenCL
- The ROpenCL package
- Summary
- Chapter 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
- Index 更新時間：2021-07-02 16:42:06
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