Robin

1. Capability for HF / HF calculation time estimate
2. Plan pre-production testing
   
   

Claudio/Jason/Sung

Cybershake v20p4

Pre Production Testing

1. Integrate HF 6.0.3 into the workflow
2. HF Rayset default off
3. GeoNET code Python3-ize (LP)
4. Workflow change: HF to run separately (test)
5. Inform RGraves of the changes to HF
6. Remove restart files/ Unzip restart
7. Automated workflow for empirical

Sung

Jason

Jonney

1. Done
2. Done
3. Jason (background)
4. In-progress
   (successfully ran HF on hypo and HF2BB on Maui)
5. Done
6. Done
7. Jason(?)
   
   

1) UHS plots for different number of periods (background)

2) Update context map and vs30 map.

3) vs30  verification

4) GM selection linking Daniel's work

5) Performance enhancement (Empirical MPI) (low-priority)

7) Caching of results

8) Add support for only exposing certain regions on seistech

9) Logging, specifically logging code version used

10) Make frontend usable (i.e. remove major bugs..)

11) Identify workflow / usage for API / seistech documentation

Claudio, Jason, Daniel

1) Periods identified

2) Were already up to date

3) Done

4) Initial integration complete, more refactoring to be done (and integrating last missing plot)

5) Complete and verified with a run on Epi/hypocentre

7) Complete

8) On-hold - will do through API-proxy

9) Code version appended to logs

11) Local version created. Will be hosted on github-pages.

1) pSA periods

Roadmap / TeamGantt

3) user vs30 modification

Viktor to break down tasks and time estimate

(1) Vs30 Weighting

1. Convert and add Elastic/Inelastic IM
2. Contact Jae for theoretical test
3. Re-running Adv IMs (Fix required)

1) James

2) Jonney

1. MATLAB→Python→Cython (Waiting on tests)
2. (on hold)
3. Done

1) NN - GMM

• Implement an initial basic pipeline with some NN config + flexible feature selection & preprocessing

2) GM Classifier

1) Not worked on this sprint, ~1-2 days away from having some initial results

2) As per discussion, working on implementing clean training process in a new repo.

• Feature/Metric extraction from records complete (requires testing), need records from Robin

1. Filter median empirical aggregations (+manual selection)
   

Jason

James

1. SimAtlas simulation+animation: 
   : Test auto workflow with batch 4. (total 100 faults)
   
   
2. Talk to Cloud vendors
3. HF 6.0.3 verification
   
   
   

Sung

Jonney

Viktor

1. Up and running
2. Meeting with AWS solution architect to be arranged. Found potential solutions from AWS and Azure
3. 6.0.3 with binmod same as new CPU version, normal IM distribution around CPU mean for GPU version.

SimAtlas simulation+animation

https://azure.microsoft.com/en-us/services/app-service/containers/

https://aws.amazon.com/ecs/