search for: rdsm

My long-promised Rdsm package is now on CRAN. Some of you may recall that I made a prototype available on my own Web page last July. This is the official version, much evolved since I released the prototype. The CRAN description states: Provides a threads-like programming environment for R, usable both on a...

As I mentioned last week, I've been developing a package that I call Rdsm ("R distributed shared memory"), modeled after a similar package, PerlDSM, I wrote for Perl some years ago. It is now in alpha form, so I'm not uploading to CRAN yet, but it is definitely usable, and I am releasing it at http://heather.cs.ucdavis.edu/~matloff/R/Rdsm I hope many tr...

...e quite useful. I mentioned at David's talk that it would be nice to have a shared-memory programmer's view for R, to complement the mainly message-passing paradigms of snow, Rmpi and now REvolution's new packages. Since that talk, I've been working on such a package, which I call Rdsm ("R distributed shared memory"), modeled after a similar package, PerlDSM, I wrote for Perl some years ago. Note that the word "distributed" here means that the memory is not really shared, but instead is an abstraction, to give the programmer a shared-memory view even though...

On 12.09.2018 20:20, G?bor Cs?rdi wrote: > This is all normal, a fork cluster works with processes, that do not > share memory. And if you are after shared-memory parallelism, you can try the 'Rdsm' package: https://cran.r-project.org/package=Rdsm Greetings Ralf -- Ralf Stubner Senior Software Engineer / Trainer daqana GmbH Dortustra?e 48 14467 Potsdam T: +49 331 23 61 93 11 F: +49 331 23 61 93 90 M: +49 162 20 91 196 Mail: ralf.stubner at daqana.com Sitz: Potsdam Register: AG Potsd...

...version of the package at: http://heather.cs.ucdavis.edu/~matloff/R/edtdbg/edtdbg.tar.gz http://heather.cs.ucdavis.edu/~matloff/R/edtdbg/edtdbg.zip Please give me your comments. I probably will upload to CRAN at some point, possibly after an ESS guru contributes the ESS code. :-) A note on my Rdsm package for parallel R: The new, much improved version is just about ready. I'll be uploading Rdsm to CRAN very soon. Norm Matloff

While using parallelization R seems to clone all environments (that are normally passed by reference) that are returned from a child process. In particular, consider the following example: library(parallel) env1 <- new.env() envs2 <- lapply(1:4, function(x) env1) cl<-makeCluster(2, type="FORK") envs3 <- parLapply(cl, 1:4, function(x) env1) envs4 <- parLapply(cl, 1:4,

I am interested in running R commands asynchronously. My first choice is in the same R session that I am currently in. Here, the goal would be to run something like RunAsynchSameSession(myfunction(), "outputname.rda") Once RunAsynchSameSession had started myfunction(), RunAsynchSameSession would complete immediately. myfunction would keep going. It is OK if execution of the

...y, so I am releasing the Vim/vim-r version only. The package is downloadable at http://heather.cs.ucdavis.edu/~matloff/R/edtdbg/edtdbg.zip I'd like to thank Jakson and Duncan M. for some useful e-mail exchanges. Now that this "digression" is done, I can get back to finishing my Rdsm parallel R package and uploading it to CRAN. (Not sure whether edtdbg is appropriate for CRAN?) Norm Matloff

...ce the last time I announced the package here. I'll enclose command list at the end of this message. Currently the package is implemented for Vim. I have a volunteer to adapt it to Emacs, so I'm hopeful it will be usable for Emacs fans later. I'm still looking for time to prepare my Rdsm parallel R package for submission to CRAN. The code is all ready, though, so if anyone wishes to obtain it, just let me know. Norm Here are the edtdbg commands, typed within the editor: * ,dbg Start edtdbg. * ,dbgu Exit ?edtdbg?. * ,src...

...* RcppExamples (0.1.0) Dirk Eddelbuettel and Romain Francois http://crantastic.org/packages/RcppExamples Examples for Seamless R and C++ integration The Rcpp package contains a C++ library that facilitates the integration of R and C++ in various ways. This package provides examples. * Rdsm (1.0.0) Norm Matloff http://crantastic.org/packages/Rdsm Provides a threads-like programming environment for R, usable both on a multicore machine and across a network of multiple machines. The package gives the illusion of shared memory, again even across multiple machines on a netwo...