On November 23rd the SIG Compute Resources for Life Science Research organizes a seminar to explore the state of the art in using compute resources from within Virtual Research Environments.
The SIG Compute Resources for Life Science Research organises events to share experience on using compute facilities for life science research. In this event we will discuss the experience of and potential for GPU computing in Life Sciences. Use cases involve medical imaging and machine learning.
Als onderwijs- en onderzoeksinstellingen hun ICT onderbrengen bij een gedeelde e-infrastructuur levert dat een flinke energiebesparing op, naar schatting wel tientallen procenten. SURF heeft de effecten van een overstap geïnventariseerd en doet enkele belangrijke aanbevelingen in het rapport Duurzaam in de e-infrastructuur.
In November 2016 and March 2017 two related special interest group Compute Resources for Life Science Research were held. With some small endeavors into federated authentication and running Jupyter notebooks on large-scale infrastructures, the focus was mostly on building and providing reproducible software stacks and compute pipelines that can also be easily deployed on remote e-infrastructures.
