search for: snowft

Parallel programming with snowFT Our package snowFT is now available at CRAN. It is an extention of the package snow, which adds fault tolerance (in the sense of recomputing computational units when hardware/network failures occur on compute nodes) and a tighter notion of reproducibility for computations running on clusters. It...

Parallel programming with snowFT Our package snowFT is now available at CRAN. It is an extention of the package snow, which adds fault tolerance (in the sense of recomputing computational units when hardware/network failures occur on compute nodes) and a tighter notion of reproducibility for computations running on clusters. It...

...nique, replicatable, random stream. I need to be able to select any run, say 667, and restart it exactly as it was. This project develops one approach to create replicable simulations. It blends ideas about seed management from John M. Chambers Software for Data Analysis (2008) with ideas from the snowFT package by Hana Sevcikova and Tony R. Rossini. Here's my proposal. 1. Run a preliminary program to generate an array of seeds run1: seed1.1 seed1.2 seed1.3 run2: seed2.1 seed2.2 seed2.3 run3: seed3.1 seed3.2 seed3.3 ... ... ... run1000 seed1000.1 seed1000.2...

Dear R users, I have access to a Sun cluster with multiple processors , a lot of RAM and with RedHat installed. I want to take advantage of its power for a R routine very time consuming. Whick package do I have to use? I know there are snow,snowFT and others package.Which is the best for my purpose? Do someone have experiences with this? Thanck in advance. Moreno

Hi All - I'm running a faily long script that uses rpvm & snowFT to spawn off multiple processes with the 'clusterApplyFT' function. Specifically, what happens is that the head node generates a number of seed clusters that are then spawned off to the pvm cluster (in this case, nodes on a 4 dual-core machine) using clusterApplyFT to apply a function to e...

...), and then brining all the results back to gether at the end for analysis. If I can distribute the runs over all the processors available in my machine, I'm going to roughly halve the run speed. The question is, how to do this? I've looked at many of the packages in this area: rmpi, snow, snowFT, rpvm, and taskPR - these all seem to have the functionality that I want, but don't exist for windows. The best solution is to switch to Linux, but unfortunately that's not an option. Another option is to divide the task in half from the beginning, spawn two "slave" instances of...

...yes! I got 140 packages installed!!! Cran Mirror was UCLA... Here is the list. Is this intentional- I can see some packages like snow and multicore which are desirable but quite optional.(see list below) Regards Ajay 'slam' 'fBasics' 'bitops' 'Rglpk' 'snowFT' 'rlecuyer' 'rsprng' 'nws' 'tweedie' 'gtools' 'gdata' 'caTools' 'Ecdat' 'ergm' 'latentnet' 'degreenet' 'shapes' 'snow' 'RColorBrewer' 'statmod' 'cubature' 'kinship...

Hi, I am in trying to get a new Linux Cluster. I am thinking about putting R on it. Does anyone have any experience with running R on a distributed Linux Cluster? Or does R support a cluster environment at all. Any pitfall I should really watch out for? Thanks in advance Apollo

Dear R People: I was wondering if there were any packages for parallel programming in R. According to the R-help, at one time there was a package called SNOW. It doesn't seem to exist anymore. Any help would be much appreciated! Sincerely, Erin Hodgess mailto: hodgess@gator.uhd.edu [[alternative(swapped) HTML version deleted]]

...phony?, ?RBGL?, ?fields?, ?sm?, ?rpanel?, ?kinship?, ?snow?, ?rpvm?, ?rlecuyer?, ?rsprng?, ?statmod?, ?Ecdat?, ?maxLik?, ?ape?, ?flexmix?, ?rmeta?, ?lpSolve?, ?quadprog?, ?relations?, ?TSP?, ?RSQLite?, ?graph?, ?spam?, ?spatstat?, ?PBSmapping?, ?RArcInfo?, ?logspline?, ?plm?, ?sem?, ?rgenoud?, ?snowFT?, ?mboost?, ?fUtilities?, ?Formula?, ?ineq?, ?mlogit?, ?np?, ?pscl?, ?sampleSelection?, ?urca?, ?HSAUR?, ?clue?, ?seriation?, ?multicore?, ?igraph?, ?biglm?, ?scatterplot3d?, ?robustbase?, ?mix?, ?spdep?, ?maptools?, ?tkrplot?, ?rgl?, ?sgeostat?, ?mapproj?, ?tcltk2?, ?tree?, ?maps?, ?quantreg?,...

...working example that can allocate not just one, but several separate seeds for each task. (We have just a few project here that need multiple streams). I would like to help work that up for inclusion in the parallel package, if possible. This approach is not original. It combines the idea behind snowFT and ideas for setting and monitoring seeds to replicate random streams in John Chambers Software for Data Analysis, Section 6.10. I'm able to save a block of seeds in a file, run a simulation for each one, and then re-run any particular task and match the random numbers. But I realize there ar...

...d for package ?tkrplot? . . . /usr/bin/ld: cannot find -lgfortran solved: package ?tkrplot? installed ================================================================================================ 11: In install.packages(pkgs, repos = views[[i]]$repository, ... : installation of package 'snowFT' had non-zero exit status solved: install.packages("snowFT",dependencies=TRUE) ================================================================================================ 12: In install.packages(pkgs, repos = views[[i]]$repository, ... : installation of package 'shapes...

On Mon, Feb 26, 2018 at 3:25 PM, Gary Black <gwblack001 at sbcglobal.net> wrote: (Sorry to be a bit slow responding.) You have not supplied a complete example, which would be good in this case because what you are suggesting could be a serious bug in R or a package. Serious journals require reproducibility these days. For example, JSS is very clear on this point. To your question >

..., SEL (1.0-2), sem (0.9-20), sendplot (3.8.6), seqinr (2.0-9), seriation (1.0-2), sets (1.0-6), simFrame (0.2), simone (1.0-0), simPopulation (0.1.2), SIS (0.5), SiZer (0.1-2), skmeans (0.1-5), slam (0.1-13), sm (2.2-4.1), smacof (1.0-1), smoothSurv (0.7), sn (0.4-15), sna (2.1-0), snowfall (1.84), snowFT (1.2-0), som (0.3-5), someKfwer (1.1), sos (1.3-0), sp (0.9-65), spam (0.22-0), sparcl (1.0.1), spatgraphs (2.37), spatial (7.3-2), spatialsegregation (2.18), spatstat (1.19-3), spBayes (0.1-8), spcosa (0.2-1), spdep (0.5-14), spgrass6 (0.6-16), spgwr (0.6-8), sphet (1.0-0), splancs (2.01-27), sqld...