Enhance MODE to use OpenMP to make the convolution step faster #2724
Description
Describe the Enhancement
MET#1926 added OpenMP to parallelize the computation of fractional coverage fields. The same approach can easily be applied to the convolution step in MODE. This issue is to reimplement ShapeData::conv_filter_circ(...) using the same OpenMP-wrapped algorithm employed by the fractional_coverage() utility function.
Time Estimate
1 day.
Sub-Issues
Consider breaking the enhancement down into sub-issues.
None needed.
Relevant Deadlines
List relevant project deadlines here or state NONE.
Funding Source
Define the source of funding and account keys here or state NONE.
Define the Metadata
Assignee
- Select engineer(s) or no engineer required
- Select scientist(s) or no scientist required
Labels
- Review default alert labels
- Select component(s)
- Select priority
- Select requestor(s)
Milestone and Projects
- Select Milestone as the next official version or Backlog of Development Ideas
- For the next official version, select the MET-X.Y.Z Development project
Define Related Issue(s)
Consider the impact to the other METplus components.
Enhancement Checklist
See the METplus Workflow for details.
- Complete the issue definition above, including the Time Estimate and Funding Source.
- Fork this repository or create a branch of develop.
Branch name:feature_<Issue Number>_<Description> - Complete the development and test your changes.
- Add/update log messages for easier debugging.
- Add/update unit tests.
- Add/update documentation.
- Push local changes to GitHub.
- Submit a pull request to merge into develop.
Pull request:feature <Issue Number> <Description> - Define the pull request metadata, as permissions allow.
Select: Reviewer(s) and Development issue
Select: Milestone as the next official version
Select: MET-X.Y.Z Development project for development toward the next official release - Iterate until the reviewer(s) accept and merge your changes.
- Delete your fork or branch.
- Close this issue.