ptc-catalog
Algorithm Productization Checklist
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A VTK-m filter for ALPINE in situ algorithm users.
User Story
As an algorithm developer, I want to develop and productize an ECP-relevant algorithm so it is a robust VTK-m filter available to ECP applications through ALPINE infrastructure and running on exascale hardware.
Card
| Task | Description |
|---|---|
| 0 | A research implementation or definition may exist |
| 1 | A baseline implementation exhibiting correct behavior is committed to a repository such as ALPINE Algorithm github, Kitware GitLab, or lab-specific GitLab |
| 2 | A parallel distributed implementation has been tested on applicable sets of ECP application data with demonstrated utility |
| 3 | The implementation is ported to VTK-m as a worklet with a wrapping filter |
| 4 | The VTK-m version has been verified on applicable data |
| 5 | Unit tests have been implemented for the filter |
| 6 | Pull requests have been created for the VTK-m worklet/filter and nightly CI build is successful |
| 7 | The VTK-m filter has been demonstrated within ALPINE infrastructure using a proxy or an ECP app integration |
| 8 | The VTK-m filter has been demonstrated on an exascale machine or exascale proxy |
| 9 | Scaling and performance testing has been completed and documented in relevant P6 Activity Report |
| 10 | Documentation (geared towards an application user) is available in ALPINE Algorithm github |
| 11 | Documentation is available in VTK-m documentation |
Notes
- Some algorithms may go through a phase with both VTK-h and VTK-m code
- Development of VTK-m filters must adhere to the VTK-m contributing guide
Acknowledgement
This Project Tracking Card originated from the PSIP PTC Catalog. The development of the PSIP PTC Catalog was supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the U.S. Department of Energy Office of Science and the National Nuclear Security Administration.