1086 search results for "parallel"

Parallel computing in R

July 1, 2014
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Parallel computing in R

Roughly a year ago I published an article about parallel computing in R here, in which I compared computation performance among 4 packages that provide R with parallel features once R is essentially a single-thread task package. Parallel computing is incredibly useful, but not every thing worths distribute across as many cores as possible. Actually,

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Parallel computing in R

June 30, 2014
By
Parallel computing in R

Roughly a year ago I published an article about parallel computing in R here, in which I compared computation performance among 4 packages that provide R with parallel features once R is essentially a single-thread task package. Parallel computing is incredibly useful, but not every thing worths distribute across as many cores as possible. Actually, there...

Read more »

Parallel computing in R

June 30, 2014
By
Parallel computing in R

Parallel computing is incredibly useful, but not every thing worths distribute across as many cores as possible. Roughly a year ago I published an article about parallel computing in R here, in which I compared computation performance among 4 packages that provide R with parallel features once R is essentially a single-thread task package. Parallel computing is...

Read more »

Summing a Vector in Parallel with RcppParallel

June 28, 2014
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Summing a Vector in Parallel with RcppParallel

The RcppParallel package includes high level functions for doing parallel programming with Rcpp. For example, the parallelReduce function can be used aggreggate values from a set of inputs in parallel. This article describes using RcppParallel to sum an R vector. Serial Version First a serial version of computing the sum of a vector. For this we use a simple call to the STL std::accumulate function: #include...

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Transforming a Matrix in Parallel using RcppParallel

June 28, 2014
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Transforming a Matrix in Parallel using RcppParallel

The RcppParallel package includes high level functions for doing parallel programming with Rcpp. For example, the parallelFor function can be used to convert the work of a standard serial “for” loop into a parallel one. This article describes using RcppParallel to transform an R matrix in parallel. Serial Version First a serial version of the matrix transformation. We take the square root of each...

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Summing a Vector in Parallel with RcppParallel

June 28, 2014
By
Summing a Vector in Parallel with RcppParallel

The RcppParallel package includes high level functions for doing parallel programming with Rcpp. For example, the parallelReduce function can be used aggreggate values from a set of inputs in parallel. This article describes using RcppParallel to sum an R vector. Serial Version First a serial version of computing the sum of a vector. For this we use a simple call to the STL std::accumulate function: #include...

Read more »

Transforming a Matrix in Parallel using RcppParallel

June 28, 2014
By
Transforming a Matrix in Parallel using RcppParallel

The RcppParallel package includes high level functions for doing parallel programming with Rcpp. For example, the parallelFor function can be used to convert the work of a standard serial “for” loop into a parallel one. This article describes using RcppParallel to transform an R matrix in parallel. Serial Version First a serial version of the matrix transformation. We take the square root of each...

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sugar in parallel

June 18, 2014
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sugar in parallel

I've been playing with parallelising Rcpp11 implementation of sugar. For example, we have a NumericVector variable x and we want to compute e.g. sqrt(exp(x)) + 2.0. With sugar, we can do: NumericVector y = sqrt(exp(x)) + 2.0 ; and this does not...

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Rth: a Flexible Parallel Computation Package for R

June 17, 2014
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Rth:  a Flexible Parallel Computation Package for R

I’ve been mentioning here that I’ll be discussing a new package, Rth, developed by me and Drew Schmidt, the latter of pbdR fame.  It’s now ready for use!  In this post, I’ll explain what goals Rth has, and how to use it. Platform Flexibility The key feature of Rth is in the word flexible in

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Rth: a Flexible Parallel Computation Package for R

June 17, 2014
By
Rth:  a Flexible Parallel Computation Package for R

I’ve been mentioning here that I’ll be discussing a new package, Rth, developed by me and Drew Schmidt, the latter of pbdR fame.  It’s now ready for use!  In this post, I’ll explain what goals Rth has, and how to use it. Platform Flexibility The key feature of Rth is in the word flexible in

Read more »

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