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R/parallel : An easy-to-use toolkit for Parallel Computing in R

Accessible Parallel Computing for Desktop Computers in R. Is a project which objective is to bring closer parallel computing. To any R user, with special interest on bioinformaticians daily tasks. To reduce the gap between users and technology, R/parallel. Main efforts are focused on providing a tool easy-to-use. With common analysis tasks, available. To as many users as possible by reducing external dependencies on additional software and/or hardware, and efficient. With currently available resources.

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R/parallel : An easy-to-use toolkit for Parallel Computing in R | rparallel.org Reviews

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Accessible Parallel Computing for Desktop Computers in R. Is a project which objective is to bring closer parallel computing. To any R user, with special interest on bioinformaticians daily tasks. To reduce the gap between users and technology, R/parallel. Main efforts are focused on providing a tool easy-to-use. With common analysis tasks, available. To as many users as possible by reducing external dependencies on additional software and/or hardware, and efficient. With currently available resources.

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R/parallel : An easy-to-use toolkit for Parallel Computing in R | rparallel.org Reviews

https://rparallel.org

Accessible Parallel Computing for Desktop Computers in R. Is a project which objective is to bring closer parallel computing. To any R user, with special interest on bioinformaticians daily tasks. To reduce the gap between users and technology, R/parallel. Main efforts are focused on providing a tool easy-to-use. With common analysis tasks, available. To as many users as possible by reducing external dependencies on additional software and/or hardware, and efficient. With currently available resources.

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rparallel.org

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R/parallel : An easy-to-use toolkit for Parallel Computing in R

http://www.rparallel.org/examples.php

Accessible Parallel Computing for Desktop Computers in R. Last modified: Thu Nov 25 12:25:00 CET 2008.

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R/parallel : An easy-to-use toolkit for Parallel Computing in R

http://www.rparallel.org/faq.php

Accessible Parallel Computing for Desktop Computers in R. I realize I made a mistake, how can I stop it? Can I print any output from the parallelized loop to the screen? Is there a way to know how far my calculation has progressed? Does it only work for desktop computers? How can I build the package from the source files? 1- Does it work? Oh yeah. Nicely. 2- I realize I made a mistake, how can I stop it? 3- Can I print any output from the parallelized loop to the screen? Not yet. For sure, less than ...

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R/parallel : An easy-to-use toolkit for Parallel Computing in R

http://www.rparallel.org/downloads.php

Accessible Parallel Computing for Desktop Computers in R. R/parallel is provided for free (GPL). If you find it useful enough and it is helping to speedup your research, please consider, the next time you write a manuscript, to credit this work by using the following reference:. Vera G, Jansen RC, Suppi RL (2008): R/parallel - speeding up bioinformatics analysis with R. BMC Bioinformatics. 22;9(1):390. Thank you very much. Ready to install - Binaries. Last beta version: 0.6-21 (November 25th, 2008).

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R/parallel : An easy-to-use toolkit for Parallel Computing in R

http://www.rparallel.org/tutorial.php

Accessible Parallel Computing for Desktop Computers in R. 1 R add-on package rparallel. 12 The introduced lines, explained. The use of the R add-on package rparallel. Once you have finished programming and testing your algorithm, to run it in parallel, you only need to add a few lines as shows the following example:. 2 Start of loop. For(index in 1:nrow(argument1) { #Make some calculations. 3 Finalizing the function. Return( reduceVar ) }. 2 Start of loop. 3 Finalizing the function. Return( reduceVar ) }.

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R/parallel : An easy-to-use toolkit for Parallel Computing in R

http://www.rparallel.org/manual.php

Accessible Parallel Computing for Desktop Computers in R. R/parallel API : runParallel(). Accessible Parallel Computing for Desktop Computers in R. Enables the parallel execution of loops without data dependencies just by adding a single function:. Enclosing this function and the target loop within an. Is able to locate the loop and automate its parallelization. RunParallel( resultVar, resultOp, cpuLimit, nWorkers, verbose, tempDir ). Vector of character strings with the operations or functions like.

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R/parallel : An easy-to-use toolkit for Parallel Computing in R

Accessible Parallel Computing for Desktop Computers in R. Is a project which objective is to bring closer parallel computing. To any R user, with special interest on bioinformaticians daily tasks. To reduce the gap between users and technology, R/parallel. Main efforts are focused on providing a tool easy-to-use. With common analysis tasks, available. To as many users as possible by reducing external dependencies on additional software and/or hardware, and efficient. With currently available resources.

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