On Wed, 5 Feb 2014, Santiago Risco wrote:
I am writing this post, because from the department we try to give our
Cluster use, as we have always relied on other departments to execute
heavy tasks, and we thought that use a parallel SAGE can be an excellent
way to extract their full potential.
It depends what you are doing. For just sharing workload from users you
can use server_pool-option for notebook() -function. See:
http://www.sagemath.org/doc/reference/notebook/sagenb/notebook/notebook_object.html
and remember this part: "Also, every user in the server pool must share
the same /tmp directory right now - -"
--
Jori Mäntysalo
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