On Fri, Jan 15, 2016 at 10:15 AM, Daniel Kaschek
wrote:
> Dear Martyn,
>
>
> On Fr, Jan 15, 2016 at 4:01 , Martyn Plummer wrote:
>>
>>
>> Alternatively, you may be able to control the maximum number of threads
>> by setting and exporting an appropriate environment variable depending
>> on what ba
Dear Martyn,
On Fr, Jan 15, 2016 at 4:01 , Martyn Plummer wrote:
Alternatively, you may be able to control the maximum number of
threads
by setting and exporting an appropriate environment variable depending
on what backend you are using, e.g. OPENBLAS_NUM_THREADS or
MKL_NUM_THREADS.
Tha
On Fri, 2016-01-15 at 15:03 +0100, Daniel Kaschek wrote:
> Dear all,
>
> I run different R versions (3.2.1, 3.2.2 and 3.2.3) on different
> platforms (Arch, Ubuntu, Debian) with a different number of available
> cores (24, 4, 24). The following line produces very different behavior
> on the thr
Dear all,
I run different R versions (3.2.1, 3.2.2 and 3.2.3) on different
platforms (Arch, Ubuntu, Debian) with a different number of available
cores (24, 4, 24). The following line produces very different behavior
on the three machines:
for(i in 1:1e6) {n <- 100; M <- matrix(rnorm(n^2), n,