Attention: The EBRAINS drive will be unavailable for most of the weekend starting the 25th October. Although the Lab is availble while the Drive is down, files that are stored in the Drive will not be loaded and you will be unable to save documents directly on the Lab.


Changes for page User Story: TVB

Last modified by ldomide on 2024/05/20 08:51
From version 29.1
edited by evanhancock
on 2020/09/11 10:11
Change comment: There is no comment for this version
To version 28.1
edited by michaels
on 2020/08/03 11:22
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77 77  The EBRAINS Collaboratory “[[TVB C ~~-~~- High-speed parallel brain network models>>https://wiki.ebrains.eu/bin/view/Collabs/tvb-c-high-speed-parallel-brain-network-]]” explains how to use the container on supercomputer backends with a Jupyter notebook as frontend:
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79 -* Open the “[[TVB C ~~-~~- High-speed parallel brain network models>>https://wiki.ebrains.eu/bin/view/Collabs/tvb-c-high-speed-parallel-brain-network-]]” Collab
79 +* Open the “[[TVB C ~~-~~- High-speed parallel brain network models>>https://wiki.ebrains.eu/bin/view/Collabs/tvb-c-high-speed-parallel-brain-network]]” Collab
80 80  * Follow the instructions in the Collab notebook or [[here>>https://hub.docker.com/r/thevirtualbrain/fast_tvb]] to set up a brain model, simulate it and collect the results.
81 81  * Simulations are more efficient when only a single thread is created, but faster for multiple threads. Play around with the num_threads parameter and compare the execution speeds for different settings. If execution speed is the primary goal a higher number of threads is advised, if efficiency during parameter space exploration is the goal, then it is advised to use multiple single-threaded instances of the program.
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