Today, I gave a talk at CWI on how to become more efficient with complex computations in our scientific work. I discussed how I have approached the need for distributed computation (to scale up towards larger and more complex problems) and the problem of organising the scientific workflow when doing experimental work.

I promised listeners that they would get

• hands-on information on getting results from large-scale, "embarrassingly parallel" computations,
•  ... without actual parallel programming,
•  ... little ssh effort
•  ... and using the programming language of your choice.
•  Plus, some tools to keep track of experiments and data.

where I would (not exclusively) mention the tools I have written, StoSim and FJD. I was happy to have a turnout of 16 people and I think we spent an interesting hour.

Here are the slides (direct link to PDF):