Changes for page User Story: TVB

Last modified by ldomide on 2024/05/20 08:51
From version 28.1
edited by michaels
on 2020/08/03 11:22
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To version 29.1
edited by evanhancock
on 2020/09/11 10:11
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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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