This is not entirely true in R:
Details:
‘proc.time’ returns five elements for backwards compatibility, but
its ‘print’ method prints a named vector of length 3. The first
two entries are the total user and system CPU times of the current
R process and any child processes on which it has waited, and the
third entry is the ‘real’ elapsed time since the process was
started.
On Wednesday, July 6, 2016 at 5:11:04 PM UTC+2, Michael Borregaard wrote:
>
> I am not seeing your speed-up in R? elapsed is less time, but user
> significantly more, and it is the sum that counts.
> When executing in parallel the language needs to copy the data to the
> workers. If the matrices are large, that takes longer than the speedup of
> the parallel execution. See what happens with a smaller matrix and then
> repeating the operation on the workers.
>
>
