791 search results for "parallel"

Using R for parallelizing OpenBUGS on a single Windows PC

August 22, 2012
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It seems that most of the R-parallelizing business takes place on Linux clusters. And it makes sense. Why would you want to paralellize R on just a few processors (2 or 4) of a Windows laptop PC when the whole…Read more →

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Parallelization: Speed up Functions in a Package

August 18, 2012
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Parallelization: Speed up Functions in a Package

Well I bought a new computer a month back (i7 8GB memory). Finally more than one core and a chance to try parallelization. I saw this blog post a while back and was intrigued and was further intriqued when I … Continue reading →

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read raster data in parallel

August 18, 2012
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read raster data in parallel

Use library(parallel) to read raster data in parallel fashion Use library(parallel) to read raster data in parallel fashion Recently, I have been doing some analysis for a project I am involved in. In particular, I was...

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Ryan Rosario on Parallel programming in R

August 17, 2012
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Earlier this year data scientist Ryan Rosario gave a talk on parellel computing with R to the Los Angeles R User Group, and he recently made the slides from the talk available online. They're a great resource for anyone looking to make use of multi-processor systems a Hadoop based architechure to speed computations with big data. Ryan's talk was...

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Data Parallelism Using Oracle R Enterprise

August 2, 2012
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Modern computer processors are adequately optimized for many statistical calculations, but large data operations may require hours or days to return a result.  Oracle R Enterprise (ORE), a set of R packages designed to process large data computations in Oracle Database, can run many R operations in parallel, significantly reducing processing time. ORE supports parallelism through the transparency layer,...

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Next R meeting in Paris INSEE: ggplot2 and parallel computing

June 12, 2012
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Next R meeting in Paris INSEE: ggplot2 and parallel computing

Hi, our group of R users from INSEE, aka FLR, meets monthly in Paris. Next meeting is on Wed 13 (tomorrow), 1-2 pm, room 539 (an ID is needed to come in,  map to access INSEE R), about ggplot2 and parallel computing. Since the first meeting in February, presentations have included hot topics like webscrapping, C in R, RStudio, SQLite

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Book Review: Parallel R

June 5, 2012
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Book Review: Parallel R

You have a problem: R is single-threaded, but your code would be faster if it could simultaneously run on more than one core.  You have access to a cluster and/or your computer has multiple cores.  Parallel R, by Q. Ethan McCallum and Stephen...

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The first version of my “inference from iterative simulation using parallel sequences” paper!

May 9, 2012
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From August 1990. It was in the form of a note sent to all the people in the statistics group of Bell Labs, where I’d worked that summer. To all: Here’s the abstract of the work I’ve done this summer. It’s stored in the file, /fs5/gelman/abstract.bell, and copies of the Figures 1-3 are on Trevor’s The post The...

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A simple example of parallel computing on a Windows (and also Mac) machine

May 8, 2012
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A simple example of parallel computing on a Windows (and also Mac) machine

by Yanchang Zhao, RDataMining.com With a Mac, parallel computing can be achieved with package multicore. Unfortunately, it does not work under Windows. A simple way for parallel computing under Windows (and also Mac) is using package snowfall, which can work … Continue reading →

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Online resources for handling big data and parallel computing in R

May 6, 2012
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Online resources for handling big data and parallel computing in R

by Yanchang Zhao, RDataMining.com Compared with many other programming languages, such as C/C++ and Java, R is less efficient and consumes much more memory. Fortunately, there are some packages that enables parallel computing in R and also packages for processing … Continue reading →

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