I am looking for ways to reduce my process size for calls to mclapply. I
have determined that the size of my process is creating too much overhead
for the forking to be faster than a serial run.I am looking for some
techniques to experiment with. I have been getting huge efficiency gains
.
Jeffrey Flint jeffrey.fl...@gmail.com wrote:
Jeff:
Thank you for your response. Please let me know how I can
unhandicap my question. I tried my best to be concise. Maybe this
will help:
version
_
platform i386-w64-mingw32
arch i386
os mingw32
system
I'm running package parallel in R-3.0.2.
Below are the execution times using system.time for when executing
serially versus in parallel (with 2 cores) using parRapply.
Serially:
user system elapsed
4.670.034.71
Using package parallel:
user system elapsed
3.820.12
#. rocks...1k
---
Sent from my phone. Please excuse my brevity.
Jeffrey Flint jeffrey.fl...@gmail.com wrote:
I'm running package parallel in R-3.0.2.
Below are the execution times using system.time for when executing
serially
want to start the workers manually? I'd
be happy to look into the details if you can reproduce the problem with a
recent version of R and the parallel package.
Best,
Uwe Ligges
On 28.09.2013 03:20, Jeffrey Flint wrote:
This is in regards to the SNOW library.
I'm using Windows
, Jeffrey Flint wrote:
The command which hangs:
I'm hoping there is a simple explanation, but I searched on-line and
nothing jumped out.
cl - makeCluster(type=SOCK,c(**localhost),manual=TRUE)
Manually start worker on localhost with
C:/PROGRA~1/R/R-214~1.2/bin/**Rscript.exe C:/Program
This is in regards to the SNOW library.
I'm using Windows. The problem is that makeSOCKcluster hangs in R as well
as the DOS command line. Below I've shown that it completes the Rscript
until it reaches the line slaveLoop(master) , at which point it hangs.
=
In R:
The command which hangs:
I'm hoping there is a simple explanation, but I searched on-line and
nothing jumped out.
cl - makeCluster(type=SOCK,c(localhost),manual=TRUE)
Manually start worker on localhost with
C:/PROGRA~1/R/R-214~1.2/bin/Rscript.exe C:/Program
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