828 search results for "parallel"

RMark: Parallel fast merging

March 3, 2013
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Last time we looked at a different method of merging multiple files via fast mergin g. I highly recommend checking the fast merging function before we will translate it to a parallel solution. Parallel programming in this case means we are using more t...

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Large correlation in parallel

February 24, 2013
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Large correlation in parallel

A little improvement to the bigcor function proposed on Rmazing to compute huge correlation matrix in R, I made the function work in parallel using all the CPU cores available on the machine. The code is here.Here is a benchmark of the 2 func...

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Parallel Array Computations With SciDB and R

January 22, 2013
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R Evangelist Bryan Lewis on a natural integration of the R analytic environment and SciDB's distributed, multidimensional array database.

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Speeding up R computations Pt III: parallelization

January 8, 2013
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In two previous posts, I have written about how you can speed up your R computations either by using strange notation and non-standard functions or by compiling your code. Last year my department bought a 64-core computational server, which allowed me ...

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Parallelized Back Testing

November 16, 2012
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As mentioned earlier, currently I am playing with trading strategies based on Support Vector Machines. At a high level, the approach is quite similar to what I have implemented for my ARMA+GARCH strategy. Briefly, the simulation goes as follows: we step through the series one period (day, week, etc) at a time. For each period,

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Unstable parallel simulation, or after finishing testing, test some more

November 2, 2012
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Lately I have been working on a trading system based on Support Vector Machine (SVM) regression (and yes, if you wonder, there are a few posts planned to share the results). In this post however I want to share an interesting problem I had to deal with. Few days ago, I started running simulations using

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Simple Parallel randomForest with doMC package

I have been exploring how to speed up some of my R scripts and have started reading about some amazing corners of R. My first weapon was the Rcpp and RcppArmadillo package. These are wonderful tools and even for someone that has never written c++ before, there are enough to examples and documentation to get started. I...

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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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