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Lookups for 1) particular prefixes and 2) similar trajectories slows down the optimizer significantly as many runs are added to the TargetEvaluation, which happens especially fast when using lots of denoising.
Do you have a suggested fix for the development team?
We should see if there's a reasonable way to speed up matching searches in data objects by metadata, as well as finding matching trajectories (kdtree?) in the optimizer.
For Change Control Board: Issue Review
This review should occur before any development is performed as a response to this issue.
1. Is it tagged with a type: defect or improvement?
2. Is it tagged with a priority: critical, normal or minor?
3. If it will impact requirements or requirements tests, is it tagged with requirements?
4. If it is a defect, can it cause wrong results for users? If so an email needs to be sent to the users.
5. Is a rationale provided? (Such as explaining why the improvement is needed or why current code is wrong.)
For Change Control Board: Issue Closure
This review should occur when the issue is imminently going to be closed.
1. If the issue is a defect, is the defect fixed?
2. If the issue is a defect, is the defect tested for in the regression test system? (If not explain why not.)
3. If the issue can impact users, has an email to the users group been written (the email should specify if the defect impacts stable or master)?
4. If the issue is a defect, does it impact the latest stable branch? If yes, is there any issue tagged with stable (create if needed)?
5. If the issue is being closed without a merge request, has an explanation of why it is being closed been provided?
The text was updated successfully, but these errors were encountered:
Closes#182Closes#363Closes#225Closes#568 (obsolete with respect to the new DataObject)
Closes#56 (obsolete with respect to the new DataObject)
Closes#112Closes#589Closes#319Closes#305Closes#252Closes#573Closes#551Closes#73Closes#551 (overcome by establish_conda_env.sh script)
Closes#627Closes#258Closes#129Closes#93Closes#91Closes#83Closes#77Closes#58Closes#43Closes#68
This PR addresses multiple Issues.
The following new features have been added:
new Data object structure
addition of DataSet class
standardization of PostProcessors' outputs
New ROMs (time-dependent)
Possibility to handle vector input spaces (not just scalars)
Degradation problems with printing solved
EnsembleModel for Unstructured Input handling
Reached 100% tests' documentation
New Code interfaces (e.g. SCALE)
Library update
THIS PULL REQUEST (AND THE NEW DEVEL) WILL BE THE RAVEN V 1.1 RELEASE
Issue Description
Lookups for 1) particular prefixes and 2) similar trajectories slows down the optimizer significantly as many runs are added to the TargetEvaluation, which happens especially fast when using lots of denoising.
Do you have a suggested fix for the development team?
We should see if there's a reasonable way to speed up matching searches in data objects by metadata, as well as finding matching trajectories (kdtree?) in the optimizer.
For Change Control Board: Issue Review
This review should occur before any development is performed as a response to this issue.
For Change Control Board: Issue Closure
This review should occur when the issue is imminently going to be closed.
The text was updated successfully, but these errors were encountered: