Hi Ragia,
First, when you wrote mad, I assume you mean made. Also, when you say
it is a multi core prog, does that mean it is using threads? running two
or more items in parallel? By any chance are you using this package?
https://stat.ethz.ch/R-manual/R-devel/library/parallel/doc/parallel.pdf
If not, maybe you should. There is also a new version of R called pqR.
It is multi thread and that maybe exactly what you need.
Also R is interpreted not compiled. Therefore if speed is important
rewriting it in a compiled language like C or C++ could be a whole lot
faster. I suspect that this would also be a lot of work and probably not
worth it.
Bob
On 4/1/2016 4:01 AM, Ragia . wrote:>
> Dear group
> I had a R program that was to slow, I mad it multi core prog..to speed
up, its a simulation when the runs are 100 its very fast..raising the runs to
10k mad it in the first fast then it slow down
> I checked the HW usafe and here is the top command results
>
>
> %Cpu0 :100.0 us, 0.0 sy, 0.0 ni, 0.0 id, 0.0 wa, 0.0 hi, 0.0 si,
0.0 st
> %Cpu1 :100.0 us, 0.0 sy, 0.0 ni, 0.0 id, 0.0 wa, 0.0 hi, 0.0 si,
0.0 st
> %Cpu2 :100.0 us, 0.0 sy, 0.0 ni, 0.0 id, 0.0 wa, 0.0 hi, 0.0 si,
0.0 st
> %Cpu3 :100.0 us, 0.0 sy, 0.0 ni, 0.0 id, 0.0 wa, 0.0 hi, 0.0 si,
0.0 st
> %Cpu4 :100.0 us, 0.0 sy, 0.0 ni, 0.0 id, 0.0 wa, 0.0 hi, 0.0 si,
0.0 st
> %Cpu5 :100.0 us, 0.0 sy, 0.0 ni, 0.0 id, 0.0 wa, 0.0 hi, 0.0 si,
0.0 st
> %Cpu6 :100.0 us, 0.0 sy, 0.0 ni, 0.0 id, 0.0 wa, 0.0 hi, 0.0 si,
0.0 st
> %Cpu7 :100.0 us, 0.0 sy, 0.0 ni, 0.0 id, 0.0 wa, 0.0 hi, 0.0 si,
0.0 st
> KiB Mem: 65863948 total, 13940104 used, 51923844 free, 231084 buffers
> KiB Swap: 1046520 total, 0 used, 1046520 free. 4418180 cached Mem
>
> what should I do to speed it up?
> thanks in advance
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