Parallel R

Download Parallel R full books in PDF, epub, and Kindle. Read online Parallel R ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Parallel R

Author : Q. Ethan McCallum
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449320333
Total Pages : 123 pages
Book Rating : 4.4/5 (493 download)

DOWNLOAD NOW!

Book Synopsis Parallel R by : Q. Ethan McCallum

Download or read book Parallel R written by Q. Ethan McCallum and published by "O'Reilly Media, Inc.". This book was released on 2011-10-21 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: It’s tough to argue with R as a high-quality, cross-platform, open source statistical software product—unless you’re in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets, including three chapters on using R and Hadoop together. You’ll learn the basics of Snow, Multicore, Parallel, Segue, RHIPE, and Hadoop Streaming, including how to find them, how to use them, when they work well, and when they don’t. With these packages, you can overcome R’s single-threaded nature by spreading work across multiple CPUs, or offloading work to multiple machines to address R’s memory barrier. Snow: works well in a traditional cluster environment Multicore: popular for multiprocessor and multicore computers Parallel: part of the upcoming R 2.14.0 release R+Hadoop: provides low-level access to a popular form of cluster computing RHIPE: uses Hadoop’s power with R’s language and interactive shell Segue: lets you use Elastic MapReduce as a backend for lapply-style operations

Mastering Parallel Programming with R

Author : Simon R. Chapple
Publisher : Packt Publishing Ltd
ISBN 13 : 1784394629
Total Pages : 244 pages
Book Rating : 4.7/5 (843 download)

DOWNLOAD NOW!

Book Synopsis Mastering Parallel Programming with R by : Simon R. Chapple

Download or read book Mastering Parallel Programming with R written by Simon R. Chapple and published by Packt Publishing Ltd. This book was released on 2016-05-31 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the robust features of R parallel programming to accelerate your data science computations About This Book Create R programs that exploit the computational capability of your cloud platforms and computers to the fullest Become an expert in writing the most efficient and highest performance parallel algorithms in R Get to grips with the concept of parallelism to accelerate your existing R programs Who This Book Is For This book is for R programmers who want to step beyond its inherent single-threaded and restricted memory limitations and learn how to implement highly accelerated and scalable algorithms that are a necessity for the performant processing of Big Data. No previous knowledge of parallelism is required. This book also provides for the more advanced technical programmer seeking to go beyond high level parallel frameworks. What You Will Learn Create and structure efficient load-balanced parallel computation in R, using R's built-in parallel package Deploy and utilize cloud-based parallel infrastructure from R, including launching a distributed computation on Hadoop running on Amazon Web Services (AWS) Get accustomed to parallel efficiency, and apply simple techniques to benchmark, measure speed and target improvement in your own code Develop complex parallel processing algorithms with the standard Message Passing Interface (MPI) using RMPI, pbdMPI, and SPRINT packages Build and extend a parallel R package (SPRINT) with your own MPI-based routines Implement accelerated numerical functions in R utilizing the vector processing capability of your Graphics Processing Unit (GPU) with OpenCL Understand parallel programming pitfalls, such as deadlock and numerical instability, and the approaches to handle and avoid them Build a task farm master-worker, spatial grid, and hybrid parallel R programs In Detail R is one of the most popular programming languages used in data science. Applying R to big data and complex analytic tasks requires the harnessing of scalable compute resources. Mastering Parallel Programming with R presents a comprehensive and practical treatise on how to build highly scalable and efficient algorithms in R. It will teach you a variety of parallelization techniques, from simple use of R's built-in parallel package versions of lapply(), to high-level AWS cloud-based Hadoop and Apache Spark frameworks. It will also teach you low level scalable parallel programming using RMPI and pbdMPI for message passing, applicable to clusters and supercomputers, and how to exploit thousand-fold simple processor GPUs through ROpenCL. By the end of the book, you will understand the factors that influence parallel efficiency, including assessing code performance and implementing load balancing; pitfalls to avoid, including deadlock and numerical instability issues; how to structure your code and data for the most appropriate type of parallelism for your problem domain; and how to extract the maximum performance from your R code running on a variety of computer systems. Style and approach This book leads you chapter by chapter from the easy to more complex forms of parallelism. The author's insights are presented through clear practical examples applied to a range of different problems, with comprehensive reference information for each of the R packages employed. The book can be read from start to finish, or by dipping in chapter by chapter, as each chapter describes a specific parallel approach and technology, so can be read as a standalone.

R Programming for Data Science

Author : Roger D. Peng
Publisher :
ISBN 13 : 9781365056826
Total Pages : 0 pages
Book Rating : 4.0/5 (568 download)

DOWNLOAD NOW!

Book Synopsis R Programming for Data Science by : Roger D. Peng

Download or read book R Programming for Data Science written by Roger D. Peng and published by . This book was released on 2012-04-19 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of data being generated. But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de facto programming language for data science. Its flexibility, power, sophistication, and expressiveness have made it an invaluable tool for data scientists around the world. This book is about the fundamentals of R programming. You will get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. With the fundamentals provided in this book, you will have a solid foundation on which to build your data science toolbox.

A Tour of Data Science

Author : Nailong Zhang
Publisher : CRC Press
ISBN 13 : 1000215199
Total Pages : 217 pages
Book Rating : 4.0/5 (2 download)

DOWNLOAD NOW!

Book Synopsis A Tour of Data Science by : Nailong Zhang

Download or read book A Tour of Data Science written by Nailong Zhang and published by CRC Press. This book was released on 2020-11-11 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics, optimization, and machine learning in a single short book. It does not cover everything, but rather, teaches the key concepts and topics in Data Science. It also covers two of the most popular programming languages used in Data Science, R and Python, in one source. Key features: Allows you to learn R and Python in parallel Cover statistics, programming, optimization and predictive modelling, and the popular data manipulation tools – data.table and pandas Provides a concise and accessible presentation Includes machine learning algorithms implemented from scratch, linear regression, lasso, ridge, logistic regression, gradient boosting trees, etc. Appealing to data scientists, statisticians, quantitative analysts, and others who want to learn programming with R and Python from a data science perspective.

Parallel Computing for Data Science

Author : Norman Matloff
Publisher : CRC Press
ISBN 13 : 1466587032
Total Pages : 340 pages
Book Rating : 4.4/5 (665 download)

DOWNLOAD NOW!

Book Synopsis Parallel Computing for Data Science by : Norman Matloff

Download or read book Parallel Computing for Data Science written by Norman Matloff and published by CRC Press. This book was released on 2015-06-04 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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,

Parallel Computing on Heterogeneous Networks

Author : Alexey L. Lastovetsky
Publisher : John Wiley & Sons
ISBN 13 : 0470349484
Total Pages : 440 pages
Book Rating : 4.4/5 (73 download)

DOWNLOAD NOW!

Book Synopsis Parallel Computing on Heterogeneous Networks by : Alexey L. Lastovetsky

Download or read book Parallel Computing on Heterogeneous Networks written by Alexey L. Lastovetsky and published by John Wiley & Sons. This book was released on 2008-05-02 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: New approaches to parallel computing are being developed that make better use of the heterogeneous cluster architecture Provides a detailed introduction to parallel computing on heterogenous clusters All concepts and algorithms are illustrated with working programs that can be compiled and executed on any cluster The algorithms discussed have practical applications in a range of real-life parallel computing problems, such as the N-body problem, portfolio management, and the modeling of oil extraction

R and Data Mining

Author : Yanchang Zhao
Publisher : Academic Press
ISBN 13 : 012397271X
Total Pages : 256 pages
Book Rating : 4.1/5 (239 download)

DOWNLOAD NOW!

Book Synopsis R and Data Mining by : Yanchang Zhao

Download or read book R and Data Mining written by Yanchang Zhao and published by Academic Press. This book was released on 2012-12-31 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. The book provides practical methods for using R in applications from academia to industry to extract knowledge from vast amounts of data. Readers will find this book a valuable guide to the use of R in tasks such as classification and prediction, clustering, outlier detection, association rules, sequence analysis, text mining, social network analysis, sentiment analysis, and more. Data mining techniques are growing in popularity in a broad range of areas, from banking to insurance, retail, telecom, medicine, research, and government. This book focuses on the modeling phase of the data mining process, also addressing data exploration and model evaluation. With three in-depth case studies, a quick reference guide, bibliography, and links to a wealth of online resources, R and Data Mining is a valuable, practical guide to a powerful method of analysis. Presents an introduction into using R for data mining applications, covering most popular data mining techniques Provides code examples and data so that readers can easily learn the techniques Features case studies in real-world applications to help readers apply the techniques in their work

Proceedings of the 1995 International Conference on Parallel Processing

Author : Prithviraj Banerjee
Publisher : CRC Press
ISBN 13 : 9780849326158
Total Pages : 260 pages
Book Rating : 4.3/5 (261 download)

DOWNLOAD NOW!

Book Synopsis Proceedings of the 1995 International Conference on Parallel Processing by : Prithviraj Banerjee

Download or read book Proceedings of the 1995 International Conference on Parallel Processing written by Prithviraj Banerjee and published by CRC Press. This book was released on 1995-08-08 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: This set of technical books contains all the information presented at the 1995 International Conference on Parallel Processing. This conference, held August 14 - 18, featured over 100 lectures from more than 300 contributors, and included three panel sessions and three keynote addresses. The international authorship includes experts from around the globe, from Texas to Tokyo, from Leiden to London. Compiled by faculty at the University of Illinois and sponsored by Penn State University, these Proceedings are a comprehensive look at all that's new in the field of parallel processing.

Proceedings of the 1993 International Conference on Parallel Processing

Author : Salim Hariri
Publisher : CRC Press
ISBN 13 : 9780849389863
Total Pages : 346 pages
Book Rating : 4.3/5 (898 download)

DOWNLOAD NOW!

Book Synopsis Proceedings of the 1993 International Conference on Parallel Processing by : Salim Hariri

Download or read book Proceedings of the 1993 International Conference on Parallel Processing written by Salim Hariri and published by CRC Press. This book was released on 1993-08-16 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume work presents a compendium of current and seminal papers on parallel/distributed processing offered at the 22nd International Conference on Parallel Processing, held August 16-20, 1993 in Chicago, Illinois. Topics include processor architectures; mapping algorithms to parallel systems, performance evaluations; fault diagnosis, recovery, and tolerance; cube networks; portable software; synchronization; compilers; hypercube computing; and image processing and graphics. Computer professionals in parallel processing, distributed systems, and software engineering will find this book essential to complete their computer reference library.

Data Analysis with R, Second Edition

Author : Anthony Fischetti
Publisher : Packt Publishing Ltd
ISBN 13 : 1788397339
Total Pages : 570 pages
Book Rating : 4.7/5 (883 download)

DOWNLOAD NOW!

Book Synopsis Data Analysis with R, Second Edition by : Anthony Fischetti

Download or read book Data Analysis with R, Second Edition written by Anthony Fischetti and published by Packt Publishing Ltd. This book was released on 2018-03-28 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn, by example, the fundamentals of data analysis as well as several intermediate to advanced methods and techniques ranging from classification and regression to Bayesian methods and MCMC, which can be put to immediate use. Key Features Analyze your data using R – the most powerful statistical programming language Learn how to implement applied statistics using practical use-cases Use popular R packages to work with unstructured and structured data Book Description Frequently the tool of choice for academics, R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises. The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. Starting with the basics of R and statistical reasoning, this book dives into advanced predictive analytics, showing how to apply those techniques to real-world data though with real-world examples. Packed with engaging problems and exercises, this book begins with a review of R and its syntax with packages like Rcpp, ggplot2, and dplyr. From there, get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. Solve the difficulties relating to performing data analysis in practice and find solutions to working with messy data, large data, communicating results, and facilitating reproducibility. This book is engineered to be an invaluable resource through many stages of anyone’s career as a data analyst. What you will learn Gain a thorough understanding of statistical reasoning and sampling theory Employ hypothesis testing to draw inferences from your data Learn Bayesian methods for estimating parameters Train regression, classification, and time series models Handle missing data gracefully using multiple imputation Identify and manage problematic data points Learn how to scale your analyses to larger data with Rcpp, data.table, dplyr, and parallelization Put best practices into effect to make your job easier and facilitate reproducibility Who this book is for Budding data scientists and data analysts who are new to the concept of data analysis, or who want to build efficient analytical models in R will find this book to be useful. No prior exposure to data analysis is needed, although a fundamental understanding of the R programming language is required to get the best out of this book.

Parallel Computing is Everywhere

Author : S. Bassini
Publisher : IOS Press
ISBN 13 : 1614998434
Total Pages : 852 pages
Book Rating : 4.6/5 (149 download)

DOWNLOAD NOW!

Book Synopsis Parallel Computing is Everywhere by : S. Bassini

Download or read book Parallel Computing is Everywhere written by S. Bassini and published by IOS Press. This book was released on 2018-03-07 with total page 852 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most powerful computers work by harnessing the combined computational power of millions of processors, and exploiting the full potential of such large-scale systems is something which becomes more difficult with each succeeding generation of parallel computers. Alternative architectures and computer paradigms are increasingly being investigated in an attempt to address these difficulties. Added to this, the pervasive presence of heterogeneous and parallel devices in consumer products such as mobile phones, tablets, personal computers and servers also demands efficient programming environments and applications aimed at small-scale parallel systems as opposed to large-scale supercomputers. This book presents a selection of papers presented at the conference: Parallel Computing (ParCo2017), held in Bologna, Italy, on 12 to 15 September 2017. The conference included contributions about alternative approaches to achieving High Performance Computing (HPC) to potentially surpass exa- and zetascale performances, as well as papers on the application of quantum computers and FPGA processors. These developments are aimed at making available systems better capable of solving intensive computational scientific/engineering problems such as climate models, security applications and classic NP-problems, some of which cannot currently be managed by even the most powerful supercomputers available. New areas of application, such as robotics, AI and learning systems, data science, the Internet of Things (IoT), and in-car systems and autonomous vehicles were also covered. As always, ParCo2017 attracted a large number of notable contributions covering present and future developments in parallel computing, and the book will be of interest to all those working in the field.

Principles of Parallel Scientific Computing

Author : Tobias Weinzierl
Publisher : Springer Nature
ISBN 13 : 3030761940
Total Pages : 302 pages
Book Rating : 4.0/5 (37 download)

DOWNLOAD NOW!

Book Synopsis Principles of Parallel Scientific Computing by : Tobias Weinzierl

Download or read book Principles of Parallel Scientific Computing written by Tobias Weinzierl and published by Springer Nature. This book was released on 2022-02-09 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: New insight in many scientific and engineering fields is unthinkable without the use of numerical simulations running efficiently on modern computers. The faster we get new results, the bigger and accurate are the problems that we can solve. It is the combination of mathematical ideas plus efficient programming that drives the progress in many disciplines. Future champions in the area thus will have to be qualified in their application domain, they will need a profound understanding of some mathematical ideas, and they need the skills to deliver fast code. The present textbook targets students which have programming skills already and do not shy away from mathematics, though they might be educated in computer science or an application domain. It introduces the basic concepts and ideas behind applied mathematics and parallel programming that we need to write numerical simulations for today’s multicore workstations. Our intention is not to dive into one particular application domain or to introduce a new programming language – we lay the generic foundations for future courses and projects in the area. The text is written in an accessible style which is easy to digest for students without years and years of mathematics education. It values clarity and intuition over formalism, and uses a simple N-body simulation setup to illustrate basic ideas that are of relevance in various different subdomains of scientific computing. Its primary goal is to make theoretical and paradigmatic ideas accessible to undergraduate students and to bring the fascination of the field across.

Parallel Computational Fluid Dynamics

Author : Rupak Biswas
Publisher : DEStech Publications, Inc
ISBN 13 : 160595022X
Total Pages : 703 pages
Book Rating : 4.6/5 (59 download)

DOWNLOAD NOW!

Book Synopsis Parallel Computational Fluid Dynamics by : Rupak Biswas

Download or read book Parallel Computational Fluid Dynamics written by Rupak Biswas and published by DEStech Publications, Inc. This book was released on 2010 with total page 703 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Parallel Computing

Author : Barbara Chapman
Publisher : IOS Press
ISBN 13 : 1607505290
Total Pages : 760 pages
Book Rating : 4.6/5 (75 download)

DOWNLOAD NOW!

Book Synopsis Parallel Computing by : Barbara Chapman

Download or read book Parallel Computing written by Barbara Chapman and published by IOS Press. This book was released on 2010 with total page 760 pages. Available in PDF, EPUB and Kindle. Book excerpt: From Multicores and GPUs to Petascale. Parallel computing technologies have brought dramatic changes to mainstream computing the majority of todays PCs, laptops and even notebooks incorporate multiprocessor chips with up to four processors. Standard components are increasingly combined with GPUs Graphics Processing Unit, originally designed for high-speed graphics processing, and FPGAs Free Programmable Gate Array to build parallel computers with a wide spectrum of high-speed processing functions. The scale of this powerful hardware is limited only by factors such as energy consumption and thermal control. However, in addition to"

Transactions of the Cambridge Philosophical Society

Author : Cambridge Philosophical Society
Publisher :
ISBN 13 :
Total Pages : 498 pages
Book Rating : 4.3/5 (91 download)

DOWNLOAD NOW!

Book Synopsis Transactions of the Cambridge Philosophical Society by : Cambridge Philosophical Society

Download or read book Transactions of the Cambridge Philosophical Society written by Cambridge Philosophical Society and published by . This book was released on 1894 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Languages and Compilers for Parallel Computing

Author : Bill Pugh
Publisher : Springer Science & Business Media
ISBN 13 : 3540307818
Total Pages : 386 pages
Book Rating : 4.5/5 (43 download)

DOWNLOAD NOW!

Book Synopsis Languages and Compilers for Parallel Computing by : Bill Pugh

Download or read book Languages and Compilers for Parallel Computing written by Bill Pugh and published by Springer Science & Business Media. This book was released on 2005-12-13 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 15th International Workshop on Languages and Compilers for Parallel Processing, LCPC 2002, held in College Park, MD, USA in July 2002. The 26 revised full papers presented were carefully selected during two rounds of reviewing and improvement from 32 submissions. All current issues in parallel processing are addressed, in particular memory-constrained computation, compiler optimization, performance studies, high-level languages, programming language consistency models, dynamic parallelization, parallelization of data mining algorithms, parallelizing compilers, garbage collection algorithms, and evaluation of iterative compilation.

Proceedings of the 1995 International Conference on Parallel Processing

Author : Kyle Gallivan
Publisher : CRC Press
ISBN 13 : 9780849326172
Total Pages : 262 pages
Book Rating : 4.3/5 (261 download)

DOWNLOAD NOW!

Book Synopsis Proceedings of the 1995 International Conference on Parallel Processing by : Kyle Gallivan

Download or read book Proceedings of the 1995 International Conference on Parallel Processing written by Kyle Gallivan and published by CRC Press. This book was released on 1995-08-08 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This set of technical books contains all the information presented at the 1995 International Conference on Parallel Processing. This conference, held August 14 - 18, featured over 100 lectures from more than 300 contributors, and included three panel sessions and three keynote addresses. The international authorship includes experts from around the globe, from Texas to Tokyo, from Leiden to London. Compiled by faculty at the University of Illinois and sponsored by Penn State University, these Proceedings are a comprehensive look at all that's new in the field of parallel processing.