I also tried the following code with pmap. It ran and seemed to run
with 4 processes as shown with 'top'. But using pmap with my own
function, I don't see it run with 4 processes. What can be wrong?
==========
M = {rand(1000,1000) for i=1:10}
pmap(svd, M)
==========
On 04/19/2014 10:38 PM, cnbiz850 wrote:
Sorry, the error messages must have to do with the undefined f. It
works with the folowing. So I guess simply adding @parallel (+) on a
for loop can then realize using multiple cores?
=======
nheads = @parallel (+) for i=1:200000000
int(randbool())
end
=======
On 04/19/2014 10:32 PM, cnbiz850 wrote:
Copied the following test code from the online documentation. When
tried to run it, I got the errors. Any guidance please?
==========
a = randn(1000)
@parallel (+) for i=1:100000
f(a[randi(end)])
end
==========
$ julia -p 4
_ _ _(_)_ | A fresh approach to technical computing
(_) | (_) (_) | Documentation: http://docs.julialang.org
_ _ _| |_ __ _ | Type "help()" to list help topics
| | | | | | |/ _` | |
| | |_| | | | (_| | | Version 0.3.0-prerelease
_/ |\__'_|_|_|\__'_| | Official http://julialang.org release
|__/ | x86_64-linux-gnu
julia> include("ParallelTest.jl")
exception on 2: exception on 4: ERROR: ERROR: ff not defined not defined
in in anonymousanonymous at at no fileno file::33
in in anonymousanonymous at at multi.jlmulti.jl::12631263
in in anonymousanonymous at at multi.jlmulti.jl::840840
in in run_work_thunkrun_work_thunk at at multi.jlmulti.jl::613613
in in run_work_thunk at run_work_thunk at multi.jl:multi.jl:622622
in in anonymousanonymous at at task.jltask.jl::66
ERROR: no method +(UndefVarError, UndefVarError)
in mr_pairwise at reduce.jl:536
in mapreduce at reduce.jl:548
in preduce at multi.jl:1403
in include at boot.jl:244
while loading ~/Coding/Julia/ParallelTest.jl, in expression starting
on line 1477
