search for: ncores

...compile instructions accordingly but i had no luck. *This is my makevars:* PKG_FCFLAGS="-fno-stack-protector" F90FLAGS = "-fopenmp" LDFLAGS = "-fopenmp" *This is my Fortran module:* module hello_openmp use omp_lib implicit none contains subroutine hello(ncores) bind(C, name="hello_") use, intrinsic :: iso_c_binding, only : c_double, c_int integer(c_int), intent(in) :: ncores integer :: iam ! Specify number of threads to use...

..._CFLAGS) > > ##### Phony target for R's build system to invoke ##### > all: $(SHLIB) > > ##### Clean target ##### > clean: > rm -f *.o *.mod > > And when I run my hello world function all the threads are used > regardless of what i specify: > > > hello(ncores = 2) Hello from 1 > Hello from 3 > Hello from 0 > Hello from 9 > Hello from 8 > Hello from 2 > Hello from 6 > Hello from 10 > Hello from 11 > Hello from 5 > Hell...

...FLAGS = $(SHLIB_OPENMP_FFLAGS) PKG_LIBS = $(SHLIB_OPENMP_CFLAGS) ##### Phony target for R's build system to invoke ##### all: $(SHLIB) ##### Clean target ##### clean: rm -f *.o *.mod And when I run my hello world function all the threads are used regardless of what i specify: > hello(ncores = 2) Hello from 1 Hello from 3 Hello from 0 Hello from 9 Hello from 8 Hello from 2 Hello from 6 Hello from 10 Hello from 11 Hello from 5 Hello from 7 Hello from 4 $ncores...

Dear all, I found a strange thing with the snow package. This will work: y = matrix(1:4, 2) cl = makeCluster(rep('localhost', 8), type='SOCK') parMM(cl, y, y) This will not: y = matrix(1:4, 2) ncore = system('nproc') parMM(cl, y, y) Error in cut.default(i, breaks) : invalid number of intervals I also tried: cl = makeCluster(rep('localhost', ncore),

...z de ejecutar porque me da error. Tras cargar todos los packages necesarios en RStudio, ejecuto el siguiente código: r <- raster("pendiente_grados_reclas.tif") locs <- st_read("puntos.geojson") lcps <- create_FETE_lcps(x = r, locations = locs, cost_distance = FALSE, ncores = 1) Y me da el siguiente mensaje de error: "Error in .local(x, ...) invalid layer names" El código usado es igual al que viene en la ayuda del script y los nombres de las capas son iguales a las creadas, por lo que no comprendo el error. He estado buscando por internet pero no encuentr...

...I have 10 engineers in my company, > I probably want to give them 10 working desks as well. But let's not go > insane. If I have 1000 engineers, 100 desks must be enough for them. This > must reduce costs. > The baseline memory consumption for systems (and amount of RAM!) is > O(NCORES), not O(1). In some read-mostly cases it's possible to achieve > O(1) memory consumption, and that's great. But if it's not the case here, > let it be so. > > > > > shard_count = std::min(MAX, std::max(NUMBER_OF_THREADS, NUMBER_OF_CORES)) > > Threads do not pr...

On Apr 17, 2014, at 2:04 PM, Chandler Carruth <chandlerc at google.com> wrote: > On Thu, Apr 17, 2014 at 1:27 PM, Justin Bogner <mail at justinbogner.com> wrote: > Chandler Carruth <chandlerc at google.com> writes: > > if (thread-ID != main's thread-ID && shard_count < std::min(MAX, NUMBER_OF_CORES)) { > > shard_count = std::min(MAX,

...o load balance between all of them. The issue with this is that it doesn't actually seem to perform non-trivial tasks at all anymore. This is an example of testing code I've been using for testing the %dopar% loop. library(iterators) library(foreach) library(doParallel) library(Parallel) nCores <- 4 cl <- makeCluster(nCores) registerDoParallel(cl) trials = 100000 x <- iris[which(iris[,5] != "setosa"),c(1,5)] t2 <- system.time({ r2 <- foreach(icount(trials), .combine=cbind) %dopar% { ind <- sample(100,100,replace= TRUE) results1 <- glm(x[ind...

...company, I probably want to give them 10 working desks as well. But let's >>> not go insane. If I have 1000 engineers, 100 desks must be enough for them. >>> This must reduce costs. >>> The baseline memory consumption for systems (and amount of RAM!) is >>> O(NCORES), not O(1). In some read-mostly cases it's possible to achieve >>> O(1) memory consumption, and that's great. But if it's not the case here, >>> let it be so. >>> >>> >>> >>> > shard_count = std::min(MAX, std::max(NUMBER_OF_THREAD...

Dear All, What is the preferred way for Package A, to initialize a cluster, and load Package B on all nodes? I am writing a package that parallelizes some functions through the use of a cluster if useRs are on a Windows machine (using parLapply and family). I also make use of another package in some of my code, so it is necessary to load the required packages on each slave once the cluster is

This pull request contains the XFS filesystem driver for Syslinux. Due to historical reasons (SGI IRIX's design of disk layouts), the first sector in the primary AG on XFS filesystems contains the superblock, which is a problem with BIOSes, since VBRs must be loaded up from the first sector of the active partition. Thus, we needed to handle this issue by putting the Syslinux bootsector

xfs_is_valid_magicnum is not actually a generic function that checks for magic numbers, instead it checks only for superblock's one. Signed-off-by: Paulo Alcantara <pcacjr at zytor.com> --- core/fs/xfs/xfs.c | 13 +++++-------- core/fs/xfs/xfs.h | 19 ++++++++++--------- 2 files changed, 15 insertions(+), 17 deletions(-) diff --git a/core/fs/xfs/xfs.c b/core/fs/xfs/xfs.c index

Hi, I've using package DEXSeq that implements functions with nCores for speed-up. The functions work fine, but I found out that the children processes were not terminated, they still hold memory, and new command will start up new children processes. So if I don't manually kill those orphan processes, they will cause problem. I was qlogin to SGE cluster node to...

Besides supporting newer version of xfs file system, this patch also does some code refactoring and fix completely broken listing and searching on v2-3 node directories. Cc: Gene Cumm <gene.cumm at gmail.com> Cc: H. Peter Anvin <hpa at zytor.com> Cc: Raphael S. Carvalho <raphael.scarv at gmail.com> Cc: Ady <ady-sf at hotmail.com> Signed-off-by: Paulo Alcantara <pcacjr