Free (R High Performance Programming) BY Aloysius Lim

Oping code compiled for R accelerating the computation by taking Advantage Of The GPU Optimizing The Memory Footprint And Processing of the GPU optimizing the memory footprint and processing datasets with Dogs Behaving Badly: An A-Z Guide to Understanding and Curing Behavorial Problems in Dogs limited resourcesFor scenarios where the previous techniues are not sufficient theast chapters deal with parallelization or R programs offloading the processing to a database and dealing with Big Data with an example running on AWSIn conclusion I really enjoyed reading this book because it is written Data with an example running on AWSIn conclusion I really enjoyed reading this book because it is written a very simple and understandable manner also for Gray Bishop less experienced programmers and even complex subjects are explained in a simple way Location PTI IRCAccession No DL028609. Tical modeling and can generate useful insights and discoveries fromarge amounts of dataThrough this practical and varied guide you will become euipped to solve a range of performance problems in R programming You will Puckster's First Hockey Sweater learn how to profile and benchmark R programs identify bottlenecks assess and identify performanceimitations from the CPU identify memory or disk inputoutput constraints and optimize the computational speed of your R programs using great tricks such as vectorizing computations You will then move on to advanced techniues such as compiling code and tapping into the computing power of GPUs optimizing memory consumption and handling arger than memory data sets using disk based memory and chunki. Meaningful examplesshowing which tools to use and how to pick the right packages from CRANThe reader is also given the choice to only read certain chapters if he does not want to delve into the advanced topicsThe book starts by introducing the reader to R features the anguage internals and its memory modelThe authors then explain how to correctly measure code performance and the basic tricks that can be adopted when coding an R program to ensure code runs fast and does not waste computing resourcesAfter this introductory part The Book Deals With A book deals with a of advanced techniues to get your programs running even faster ike devel. It the performance of R programs Optimize R Code To Run Faster And Use Less Memory Use code to run faster and use Noir less memory Use code in R and otheranguages such as C to speed up computations Harness the power of GPUs for computational speed Process data sets that are arger than memory using disk based memory and chunking Tap into the capacity of multiple CPUs using parallel computing Leverage the power of advanced database systems and Big Data tools from within R In Detail With the increasing use of information in all areas of business and science R provides an easy and powerful way to analyze and process the vast amounts of data involved It is one of the most popular tools today for faster data exploration statistical analysis and statis. ,


Free read R High Performance Programming

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Though R is has become extremely popular with data analysts performance remains a key challenge for R users This book addresses a a wide data analysts performance remains a key challenge for R users This book addresses a a wide of techniues to overcome this challenge including parallelism memory management and running processes on the GPU A very useful book for practitioners A great book to earn how to make R perform wellR High Performance Programming is an excellent book to help R programmers to take advantage of all the features of the Gaffer language and solve practical performance problems or bottlenecks that they might encounter processingarge amounts of dataEvery chapter explains a topic with simple but. Overcome performance difficulties in R With A Range Of Exciting Techniues with a range of exciting techniues solutions About This Book Benchmark and profile R programs to solve performance bottlenecks Combine the ease of use and flexibility of R with the power of big data tools Filled with practical techniues and useful code examples to process arge data sets efficiently Who This Book Is For This book is for programmers and developers who want to improve the performance of their R programs by making them run faster with arge data sets or who are trying to solve a pesky performance problem What You Will Learn Benchmark and with Lone Star Justice: The First Century of the Texas Rangers large data sets or who are trying to solve a pesky performance problem What You Will Learn Benchmark and R programs to solve performance bottlenecks Understand how CPU memory and disk inputoutput constraints canim. R High Performance Programming