reduce file read/write operations | group years
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 44
- Forks
- 13
- PR merge metrics
- No merged PRs in 30d
Description
Very slow on HPC - almost certainly mixture of env caching and read/writes.
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grouping years could avoid this.
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group base year /installed capacities
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group remind capacities
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group costs (less human readable)
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group make summaries output
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build load profiles
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files, tests, or entry points are named. Start by tracing the model's year-based capacity, cost, summary, and load-profile reads and writes, then measure the current HPC workflow; done means the listed data is grouped appropriately and the file-operation bottleneck is reduced without changing model outputs.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- performance
- Issue type
- Refactor
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100