Details
Major Description
Code in tvb-inversion repository is shared by MRS and offers a solution to compute inference in TVB (it also contains Julia code).
The final scope is to prepare this code into a form that could be deployed in TVB-C. As intermediary steps, the code should be and refactored to handle generic data, documentation of using the code should be added, setup.py config etc.
BIDS to be taken into consideration for this.
Gliffy Diagrams
Attachments
1.
|
Analyze current code |
|
Closed | Bogdan Valean |
|
||||||||
2.
|
Create a docker container for tvb-inversion |
|
Resolved | Bogdan Valean |
|
||||||||
3.
|
Review code in tvb-inversion |
|
Resolved | Paula Prodan |
|
||||||||
4.
|
Deploy tvb-inversion at FRH |
|
Resolved | Jan Fousek |
|
||||||||
5.
|
CI for tvb-inversion |
|
Resolved | Paula Prodan |
|
||||||||
6.
|
Run and document Benchmarks on tvb master branch against fork used for tvb-inversion (numba backend for this model) |
|
Resolved | Paula Prodan |
|
||||||||
7.
|
Spawn PSE tasks over SLURM |
|
Resolved | Paula Prodan |
|
||||||||
8.
|
Add basic unit-tests |
|
Resolved | Paula Prodan |
|
||||||||
9.
|
Run simulations remotely |
|
Resolved | Paula Prodan |
|
