sorry correct my call to julia -p 32 exper.jl > myout.out
(without the first < , not sure that makes a difference) On Saturday, 30 August 2014 12:58:57 UTC+1, Florian Oswald wrote: > > @require should work for what you want. i usually run batch jobs like this > > julia -p 32 < exper.jl > myout.out > > maybe give it a try? > also, do you have 32 CPUs? not sure how stable this is if you use plenty > more processes than cores. > > here is a working example for a large cluster: > https://github.com/floswald/parallelTest/tree/master/julia/iridis > > the setup is different, but you should be able to figure out from sge.jl > how I load the functions. make sure you are in the right directory? > > On Saturday, 30 August 2014 04:01:00 UTC+1, Travis Porco wrote: >> >> julia> versioninfo() >> Julia Version 0.3.1-pre+405 >> Commit 444fafe* (2014-08-27 20:11 UTC) >> Platform Info: >> System: Linux (x86_64-linux-gnu) >> CPU: Intel(R) Xeon(R) CPU E5-2670 0 @ 2.60GHz >> WORD_SIZE: 64 >> BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Sandybridge) >> LAPACK: libopenblas >> LIBM: libopenlibm >> LLVM: libLLVM-3.3 >> >> >> On Friday, August 29, 2014 10:15:54 AM UTC-7, Travis Porco wrote: >>> >>> Hello--I'd like to be able to run something like this: >>> nohup ../julia/julia -p 32 < mscript.jl >>> where inside mscript.jl, I would like each worker to read in and have >>> access to a large script (something like require("analysis.jl") ) >>> and then call a function defined in my own file, nside which various >>> pieces of a computation are done in parallel. >>> Does anyone have a working example? Nothing I have tried has worked (I >>> must have just misunderstood the manual). >>> Thanks. >>> >>
