NVIDIA / NVIDIA/cuvs

Reuse reconstruction functions from PQ api in Iterative CAGRA-Q

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Dominant language
Cuda
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Forks
236
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Merged PRs (30d)
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Description

Explore whether it is possible to reuse functionality from PQ api.

https://github.com/NVIDIA/cuvs/pull/1810#discussion_r3975380106

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the discussion in cuVS pull request 1810 and compare the reconstruction functionality exposed by the PQ API with its use in Iterative CAGRA-Q. Trace the relevant entry points in both areas and determine whether the functions can be reused without changing their intended behavior; document the reuse scope or remaining blockers as done.

Written by the indexing model from the issue text.

Assessment

Domain
machine-learning
Issue type
Refactor
Difficulty
4/5
Estimated time
3-5 days
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
35/100

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