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The Resource Parallel Computing for Data Science : With Examples in R, C++ and CUDA, (electronic book)

Parallel Computing for Data Science : With Examples in R, C++ and CUDA, (electronic book)

Label
Parallel Computing for Data Science : With Examples in R, C++ and CUDA
Title
Parallel Computing for Data Science
Title remainder
With Examples in R, C++ and CUDA
Creator
Subject
Language
eng
Summary
Parallel Computing for Data Science: With Examples in R, C++ and CUDA is one of the first parallel computing books to concentrate exclusively on parallel data structures, algorithms, software tools, and applications in data science. It includes examples not only from the classic ""n observations, p variables"" matrix format but also from time series, network graph models, and numerous other structures common in data science. The examples illustrate the range of issues encountered in parallel programming.With the main focus on computation, the book shows how to compute on three types of platfor
Member of
Cataloging source
AU-PeEL
http://library.link/vocab/creatorName
Matloff, Norman
Dewey number
004.35
LC call number
QA76.58 .M384 2015
Nature of contents
dictionaries
Series statement
Chapman & Hall/CRC The R Series
Series volume
v.28
http://library.link/vocab/subjectName
  • Computer science
  • High performance computing
  • Parallel processing (Electronic computers)
Label
Parallel Computing for Data Science : With Examples in R, C++ and CUDA, (electronic book)
Instantiates
Publication
Note
Description based upon print version of record
Contents
  • ""Front Cover""; ""Contents""; ""Preface""; ""Author's Biography""; ""Chapter 1: Introduction to Parallel Processing in R""; ""Chapter 2: ""Why Is My Program So Slow?"": Obstacles to Speed""; ""Chapter 3: Principles of Parallel Loop Scheduling""; ""Chapter 4: The Shared-Memory Paradigm: A Gentle Introduction via R""; ""Chapter 5: The Shared-Memory Paradigm: C Level""; ""Chapter 6: The Shared-Memory Paradigm: GPUs""; ""Chapter 7: Thrust and Rth""; ""Chapter 8: The Message Passing Paradigm""; ""Chapter 9: MapReduce Computation""; ""Chapter 10: Parallel Sorting and Merging""
  • ""Chapter 11: Parallel Pre x Scan""""Chapter 12: Parallel Matrix Operations""; ""Chapter 13: Inherently Statistical Approaches: Subset Methods""; ""Appendix A: Review of Matrix Algebra""; ""Appendix B: R Quick Start""; ""Appendix C: Introduction to C for R Programmers""; ""Back Cover""
Control code
purchPURCH EBC1828305
Dimensions
unknown
Extent
1 online resource (328 p.)
Form of item
electronic
Governing access note
There is no limit to the number of simultaneous users but there is a limit of 325 uses (cumulative between all users) in each 12 month period, from the date of purchase. Library staff are alerted when the remaining number of uses is low and will decide whether to buy another copy.Printing is restricted to 20% of the total pages of the ebook, per patron. Copying and pasting is restricted to 5% of the total pages of the ebook, per person. However, printing and copy and paste permissions in excess of this may be granted by some publishers
Isbn
9781466587038
Specific material designation
remote
Label
Parallel Computing for Data Science : With Examples in R, C++ and CUDA, (electronic book)
Publication
Note
Description based upon print version of record
Contents
  • ""Front Cover""; ""Contents""; ""Preface""; ""Author's Biography""; ""Chapter 1: Introduction to Parallel Processing in R""; ""Chapter 2: ""Why Is My Program So Slow?"": Obstacles to Speed""; ""Chapter 3: Principles of Parallel Loop Scheduling""; ""Chapter 4: The Shared-Memory Paradigm: A Gentle Introduction via R""; ""Chapter 5: The Shared-Memory Paradigm: C Level""; ""Chapter 6: The Shared-Memory Paradigm: GPUs""; ""Chapter 7: Thrust and Rth""; ""Chapter 8: The Message Passing Paradigm""; ""Chapter 9: MapReduce Computation""; ""Chapter 10: Parallel Sorting and Merging""
  • ""Chapter 11: Parallel Pre x Scan""""Chapter 12: Parallel Matrix Operations""; ""Chapter 13: Inherently Statistical Approaches: Subset Methods""; ""Appendix A: Review of Matrix Algebra""; ""Appendix B: R Quick Start""; ""Appendix C: Introduction to C for R Programmers""; ""Back Cover""
Control code
purchPURCH EBC1828305
Dimensions
unknown
Extent
1 online resource (328 p.)
Form of item
electronic
Governing access note
There is no limit to the number of simultaneous users but there is a limit of 325 uses (cumulative between all users) in each 12 month period, from the date of purchase. Library staff are alerted when the remaining number of uses is low and will decide whether to buy another copy.Printing is restricted to 20% of the total pages of the ebook, per patron. Copying and pasting is restricted to 5% of the total pages of the ebook, per person. However, printing and copy and paste permissions in excess of this may be granted by some publishers
Isbn
9781466587038
Specific material designation
remote

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