Parallel computing for data science : with examples in R, C++ and CUDA

By: Matloff, Norman SMaterial type: TextTextSeries: Publication details: Boca Raton : CRC Press, [2015] ©2015Description: xxiii, 324 pages : illustrationsISBN: 1466587016 (cloth); 9781466587014 (cloth)Subject(s): Parallel programming (Computer science) | Electronic data processing | R (Computer program language)DDC classification: 005.3
Contents:
Introduction to parallel processing in R -- "Why is my program so slow?": obstacles to speed -- Principles of parallel loop scheduling -- The shared-memory paradigm: a gentle introduction via R -- The shared-memory paradigm: C level -- The shared-memory paradigm : GPUs -- Thrust and Rth -- The message passing paradigm -- MapReduce computation -- Parallel sorting and merging -- Parallel prefix scan -- Parallel matrix operations -- Inherently statistical approaches: subset methods -- Review of matrix algebra -- R quick start -- Introduction to C for R programmers.
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Includes index

Introduction to parallel processing in R --
"Why is my program so slow?": obstacles to speed --
Principles of parallel loop scheduling --
The shared-memory paradigm: a gentle introduction via R --
The shared-memory paradigm: C level --
The shared-memory paradigm : GPUs --
Thrust and Rth --
The message passing paradigm --
MapReduce computation --
Parallel sorting and merging --
Parallel prefix scan --
Parallel matrix operations --
Inherently statistical approaches: subset methods --
Review of matrix algebra --
R quick start --
Introduction to C for R programmers.

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