Related Github Repos and tickets
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Depends on how many SLCs are being procssedprocessed
1+ hours for 8 SLCs
Topsstack Runtime Chart
c5d.9xlarge | c5d.18xlarge | c5.24xlarge | m5ad.24xlarge | |
|---|---|---|---|---|
1-year stack (~30 SLCs) | 15 hours, 3 mins, 34 secs | 16 hrs, 0 min, 52 secs | 8 hrs, 53 mins, 42 secs | 11 hrs, 53 mins, 5 secs |
2-year stack (~60 SLCs) | 30hrs, 11 mins, 22 secs | 30 hrs, 33 mins, 44 secs | ||
3-year stack (~90 SLCs) | 13 hrs, 40 mins, 27 secs | |||
4-year stack (~120 SLCs) | ||||
5-year stack (~150 SLCs) |
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Code Block raise Exception('Could not determine a suitable burst offset')There must only be one track in your SLC inputs
correct facet SLC inputs incorrect facet SLC inputs
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Job Inputs:
Bbox (*required)
min_latmax_latmin_lonmax_lon
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Link: http://b-ci.grfn.hysds.io:8080/job/ops-bcluster_container-builder_aria-jpl_topsstack_master/
WARNING: If rebuilding on the same branch (master), make sure to remove docker image so that it reloads when restarting the job:
docker rmi <topsStack docker image id>
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Currently using c5d.9xlarge
Not enough CPU
Takes 11.5 Hrs to run 30 scenes
May need to upgrade to c5d.18xlarge or i-instances
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STILL TODO:
Integrate Sang-Ho/Jungkyo GNU parallel
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