Enhance KDTree with Parallel Processing - Githubissues

nickna / Neighborly

An open-source vector database

MIT License

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Enhance KDTree with Parallel Processing #17

Open nickna opened 1 month ago

nickna commented 1 month ago

Description:

Improve the performance of the KDTree implementation by adding support for parallel processing during tree construction and search operations.

Tasks:

Refactor KDTree construction to use parallel processing for building the tree.
Implement parallel processing for nearest neighbor and range search operations.
Write benchmarks to compare the performance of the parallel implementation with the current one.

Resources:

Parallel Programming in .NET

Impact:

These enhancements will significantly improve the performance of KDTree operations, making Neighborly more efficient when handling large datasets.

How to Contribute:

Fork the repository and create a new branch for your changes.
Implement parallel processing in the KDTree class.
Ensure all new and existing tests pass.
Submit a pull request with a detailed description of the changes and performance improvements observed.

Blocked by #1