Home › Entities › academia › Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity

Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity

Research article (2017 IEEE 33rd International Conference on Data Engineering (ICDE), 2017) · cited 19× · AI/ML
academia openalex:W2615498007
Press Enter · cited answer in seconds

Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity

Summary

Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity is a scholarly article[1].

Key Facts

  • Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity. Retrieved May 24, 2026, from https://4ort.xyz/entity/sweet-knn-an-efficient-knn-on-gpu-through-reconciliation-between-redundancy-removal-and-regularity
MLA “Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sweet-knn-an-efficient-knn-on-gpu-through-reconciliation-between-redundancy-removal-and-regularity.
BibTeX @misc{4ortxyz_sweet-knn-an-efficient-knn-on-gpu-through-reconciliation-between-redundancy-removal-and-regularity_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity}}, year = {2026}, url = {https://4ort.xyz/entity/sweet-knn-an-efficient-knn-on-gpu-through-reconciliation-between-redundancy-removal-and-regularity}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity — https://4ort.xyz/entity/sweet-knn-an-efficient-knn-on-gpu-through-reconciliation-between-redundancy-removal-and-regularity (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/sweet-knn-an-efficient-knn-on-gpu-through-reconciliation-between-redundancy-removal-and-regularity · Last refreshed: