Thank you for the reply Przemyslaw.
I am not interested in distributed computing (at least at this stage), only in parallelisation. I will investigate SGE further, but it seems a bit of an overkill. I was thinking of something a bit more lightweight like OpenMP for C/C++.
-------- Original Message --------Subject: Re: MASON on multi-core systemsLocal Time: May 7, 2016 6:27 PMUTC Time: May 7, 2016 4:27 PMFrom: [log in to unmask]Dear Luis,you have not specified in your question whether you want to parallelize a single massive MASON simulationor you would like to rather to run a huge number of single process simulations on a computing cluster.For the first scenario (a single simulation run that is so huge it cannot fit a single machine) take a look a D-MASON.D-MASON enables running geographically distributed simulation model on a multi-worker cluster.However, most likely, in your question you meant running in parallel a very large number of smaller (i.e.. single process/single thread) simulations. This is a very common scenario if you for example need to perform a parameter sweep.For this scenario I usually use Sun Grid Engine (SGE) - now called Open Grid Scheduler. My university does not own a computing clusterand hence I run my simulations in the cloud on Amazon Web Services. The tool that makes SGE installation in the Amazon cloud an easily manageable process is called StarCluster. If you decide to use Amazon EC2 Spot instances this approach is extremely cost effective - you can run your computations with cost around 0.01$ per one Xeon vCPU per hour. I usually spin up a cluster of 320 vCPUs and pay $2.90 an hour...Starcluster requires some dependencies and has several configuration / installation steps.Since I am doing it many times, some time ago I wrote a script to automate the process, you can get it at:bash sc_setup.shHopefully, the above information is enough for the start.If you have more detailed questions write to me and I will put answer on the MASON forum.All best,PrzemyslawPrzemyslaw Szufel