# 961 search results for "parallel"

## Hyperthreading FTW? Testing parallelization performance in R.

March 7, 2014
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Alright, let's test some parallelization functionalities in R.The machine:MacBook Air (mid-2013) with 8 GB of RAM and the i7 CPU (Intel i7 Haswell 4650U). This CPU is hyper-threaded, meaning (at least that's my understanding of it) that it has two...

## Mumbai, Feb 2014 – HPC and Parallel R

February 17, 2014
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## Parallelizing #RStats using #make

January 30, 2014
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In the current post, I'll show how to use R as the main SHELL of GNU-Make instead of using a classical linux shell like 'bash'. Why would you do this ? awesomeness Make-based workflow management Make-based execution with --jobs. GNU make knows how to ...

## A brief foray into parallel processing with R

January 21, 2014
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I’ve recently been dabbling with parallel processing in R and have found the foreach package to be a useful approach to increasing efficiency of loops. To date, I haven’t had much of a need for these tools but I’ve started working with large datasets that can be cumbersome to manage. My first introduction to parallel

## Quick guide to parallel R with snow

January 10, 2014
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Probably, the most common complains against R are related to its speed issues, especially when handling a high volume of information. This is, in principle, true, and relies partly on the fact that R does not run parallely…. unless you … Continue reading →

## Parallel processing with short jobs only increases the run time

December 27, 2013
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Parallel processing has become much more important over the years as multi-core processors have become common place. From version 02.14 onwards, parallel processing has become part of the standard R installation in the form of the parallel package. This package… See more ›

## Parallel R (and air travel)

My heart sinks a little when I check on my laptop in the morning and the computation I started the night before still hasn’t finished. Even when the data I’m playing with isn’t particularly.... large... (I’m not going to say it), I have a knack for choosing expensive algorithms late at night. Because of my »more

## Running Back-tests in parallel

November 11, 2013
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Once you start experimenting with many different asset allocation algorithms, the computation time of running the back-tests can be substantial. One simple way to solve the computation time problem is to run the back-tests in parallel. I.e. if the asset allocation algorithm does not use the prior period holdings to make decision about current allocation,

## Stochastic Optimization in R by Parallel Tempering

October 12, 2013
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I’ve written a few posts now about using parallel tempering to sample from complicated multi-modal target distributions but there are also other benefits and uses to this algorithm. There is a nice post on Darren Wilkinson’s blog about using tempered posteriors for marginal likelihood calculations. There is also another area where parallel tempering finds application, The post Stochastic...

## Parallel Tempering in R with Rmpi

October 6, 2013
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$Parallel Tempering in R with Rmpi$

My office computer recently got a really nice upgrade and now I have 8 cores on my desktop to play with. I also at the same time received some code for a Gibbs sampler written in R from my adviser. I wanted to try a metropolis-coupled markov chain monte carlo, , algorithm on it to The post Parallel...