similar to: snow package

Hello All, I can run the "lower level" functions OK, but many of the higher level (eg. parSApply) functions are generating errors. When running the example (from the snow help docs) for parApply on MacOSX 10.5.5, I get the following error: cl <- makeSOCKcluster(c("localhost","localhost")) sum(parApply(cl, matrix(1:100,10), 1, sum)) Error in

Hi Greg, I don't know if this is related to your problem, but I get the same error (on both ubuntu and fedora linux, R 2.9) and just found a very curious behaviour - snowfall apply functions don't like the variable name "c". E.g.: c<-1 sfLapply(1:10, exp) issues the same error you had posted, while subsequent rm("c") sfLapply(1:10, exp) runs fine. Rainer

Hi there, I recently switched to Mac and I wonder if there is any way to get the R console to autocomplete names of list objects or slots of objects. The command line version allows to type e.g. list$ and two times the tab button and then comes up with the names of the list objects. Same for slots of e.g. Eset objects like eset. Unfortunately this does not work in the Mac R console. Is there a

Hello everybody, I've got a bit of a problem with parLapply that's left me scratching my head today. I've tried this in R 2.11 and the 23 bit Revolution R Enterprise and gotten the same result, OS in question is Windows XP, the package involved is the snow package. I've got a list of 20 rain/no rain (1/0) situations for these two stations i and j, all the items in this list look

2010/10/9 António Saragga Seabra <antseabra at gmail.com>: > I'm on Windows using MinGW... > > 2010/10/9 OvermindDL1 <overminddl1 at gmail.com> >> >> 2010/10/5 António Saragga Seabra <antseabra at gmail.com>: >> > Hi >> > >> > Thank you for your help! Followed your suggestion closely and changed >> > the >> >

Hi there, I wonder if there is a way of efficiently generating a correlation matrix of two expression matrices. I want to correlate miRNA and mRNA expression and used the following code: ##dat.mi miRNA expression matrix, dat.m mRNA expression matrix nc <- nrow(dat.mi) cor.mat <- data.frame(rep(NA,nrow(dat.m))) pval.mat <- data.frame(rep(NA,nrow(dat.m))) for(i in 1:nc) { cr <- vector()

I'm using /parApply/() function in "snow" package for parallel computing (boostrapping repeating calculation), as the follows: MyBoostrapping <- function( i ){ ..... } cl <- makeCluster( ncluster, type = "SOCK") i.circle <- as.matrix( 1:128, , 1) parApply( cl, i.circle, 1, FUN = MyBoostrapping) It works. However, I want to set more than one arguments to

Hi, That seems really simple... just changing the function pointer. But how to do it for the 'printd' function in the Kaleidoscope example? An example how to do this would be super-great. Any help will be much appreciated. Thanks! On Sat, Oct 9, 2010 at 3:55 PM, OvermindDL1 <overminddl1 at gmail.com> wrote: > 2010/10/9 António Saragga Seabra <antseabra at gmail.com>:

I've started to use the parallel package and it works very well speeding things up. Thank you for making this easy to do. Should I have expected that parCapply would return a vector when parApply returns a matrix? library(parallel) x <- matrix(rnorm(8), nc = 2) apply(x, 2, function(y) y) [,1] [,2] [1,] -0.9649685 0.91339851 [2,] -1.4313140 0.13457671 [3,] 1.0499248

I've been using parApply() in snow package for parallel computing with the following lines in R 2.8.1: library(snow) nNodes <- 4 cl <- makeCluster(nNodes, type = "SOCK") fm <- parApply(cl, myData, c(1,2), func1, ...) Since I have a Mac OS X (version 10.4.11) with two dual-core processors, I thought that I could run 4 simultaneous clusters. However with the 1st job

I compiled and tried rsync 2.5.0 but could not get the server running. loadparm.c:string_set() now calls free() which it did not do in 2.4.6 and this free() tries to free memory that was not allocated with malloc. Here is a gdb run (done after adding return before fork() in become_daemon) which shows where it crashes and what my minimal config file for demonstrating the bug was. The config file

Hi, Attached is a patch for compiler-rt to allow it to compile with MinGW-w64 on Windows. Results aren't that bad. x86 GCC and Clang do everything right, all tests pass. x86_64 GCC fails a lot of tests. This is 99% sure a codegen issue. 38 - fixunssfti_test (Failed) 74 - fixunsdfti_test (Failed) x86_64 Clang fails these tests: 2 - udivmodti4_test (SEGFAULT) 6 - fixdfti_test (Failed) 8 -

In principle, I'd like to be able to do something like this: sge.parLapply(seq(10), function(x) parLapply(seq(x), function(x) x^2)) In practice, however, I have to resort to acrobatics like this: sge.options(sge.remove.files=FALSE) sge.options(sge.qsub.options='-cwd -V') sge.parLapply(seq(10), function(x) { sge.options(sge.save.global=TRUE)

invoking parLapply without a cluster fails to find a previously registered cluster > library(parallel) > setDefaultCluster(makePSOCKcluster(2)) > parLapply(X=1:2, fun=function(...) {}) Error in cut.default(i, breaks) : invalid number of intervals This is because in parLapply length(cl) is determined before defaultCluster(cl) is called. By inspection, this appears to be true of

(Posted also to debian-user) In my office network I have access to a debian powerpc server and 2 freebsd 6 servers (actually one of them is my notebook). Experienced user of the statistical software R, I have now a go at parallel computation via (r-)pvm and snow under R to enhance the performance of a heavy duty statistical problem involving many iteration on the calculation of models. I moved

> From: llvmdev-bounces at cs.uiuc.edu [mailto:llvmdev-bounces at cs.uiuc.edu] On Behalf Of Xin Tong > Subject: [LLVMdev] Cast Pointer Address to Functions > I have a function address held in an uint64_t. I would like to cast > the function address to a function prototype and create a call to the > function in LLVM. How could I do this ? This is what works for us:

I have written a directdraw program in dx7 that i can get working under wine. I have now written a simple directx8 3d program that works under windows but i am getting these wierd errors under wine. this is the output from wine -debugmsg +module pro666 I think it is a problem with the two libraries d3d8.lib and d3dx8.lib as I can see errors there. Also I notice that these are the two libraries

Hi Ruben, > I see I missed some curly braces. I also modified spacing a tiny bit. Doesn't seem so. E.g. you have: + if ( !VirtualQuery(addr, &b, sizeof(b)) ) + exit(1); + if( !VirtualProtect(b.BaseAddress, b.RegionSize, PAGE_EXECUTE_READWRITE, &b.Protect) ) Add space after "if". Do not put spaces after "(" and before ")". Same for other

2012/1/7 Anton Korobeynikov <anton at korobeynikov.info> > Hi Ruben, > > > I see I missed some curly braces. I also modified spacing a tiny bit. > Doesn't seem so. E.g. you have: > > + if ( !VirtualQuery(addr, &b, sizeof(b)) ) > + exit(1); > + if( !VirtualProtect(b.BaseAddress, b.RegionSize, > PAGE_EXECUTE_READWRITE, &b.Protect) ) >

+llvm-dev > On 2016-Feb-09, at 12:54, Harris, Kevin <Kevin.Harris at unisys.com> wrote: > > Duncan, > Kevin Harris here, from Unisys. In our application, generating LLVM IR, we have several instances of code that looks like this: > > . . . > Value* pDS; > . . . > auto argIt = pFunc->arg_begin(); >