NVIDIA / NVIDIA/cuvs

[FEA] Evaluate Prefetch for Batched Kmeans

Open
#1,917 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

feature request
Dominant language
Cuda
Stars
854
Forks
236
Avg merge
3d 3h
Merged PRs (30d)
62

Description

#1886 adds batching to Kmeans to stream host data to device. Evaluate perf when prefetching of batches is enabled with a stream pool. Currently prefetching is not enabled in #1886

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 batched Kmeans work in #1886, then identify its host-to-device batch path and the existing stream-pool usage. Compare performance with prefetching enabled versus the current configuration, and document whether the measurements justify enabling it.

Written by the indexing model from the issue text.

Assessment

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

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.