NVIDIA / NVIDIA/cuCollections

[ENHANCEMENT]: Perf guide

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type: docs type: feature request
Dominant language
Cuda
Stars
667
Forks
120
Avg merge
7d 5h
Merged PRs (30d)
4

Description

Is your feature request related to a problem? Please describe.

cuCollections exposes a set of knobs that allow optimizing a hashing data structure for a specific use case.

For example:

  • which probing scheme should I use?
  • what's the best CG size?
  • how does the input data type affect performance?
  • can I use particular operations concurrently? How does that impact performance?

The interaction between those choices is also non-trivial.
Finding out which combination works best for an application is a time-consuming task.

Describe the solution you'd like

Write a perf guide. Could be as simple as a Markdown file.

Describe alternatives you've considered

No response

Additional context

No response

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

No file or test is named. Start by reviewing cuCollections' hashing data structure options and the performance questions listed in the issue, then identify how probing, CG size, input type, and concurrency interact. Done means a Markdown performance guide that explains those choices and how users can evaluate combinations for their applications.

Written by the indexing model from the issue text.

Assessment

Tech stack
cpp
Domain
documentation, performance
Issue type
Documentation
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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