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Fast-ER: GPU-Accelerated Record Linkage and Deduplication in Python Cover

Fast-ER: GPU-Accelerated Record Linkage and Deduplication in Python

Open Access
|Apr 2026

Figures & Tables

Figure 1

Illustration of Record Linkage Pipeline. The boxes represent the package’s classes, the labels indicate user inputs and computed outputs, and the arrows illustrate the relationships between them.

Figure 2

Illustration of Deduplication Pipeline. The boxes represent the package’s classes, the labels indicate user inputs and computed outputs, and the arrows illustrate the relationships between them.

Figure 3

Record Linkage Performance Comparison: Fast-ER Runs Over 35 Times Faster Than fastLink.

Figure 4

Deduplication Performance Comparison: Fast-ER Runs Over 60 Times Faster Than fastLink.

Figure 5

Record Linkage Performance Comparison: Fast-ER Runs Over 200 Times Faster than fastLink When Both Are Executed on a Google Colab Instance.

Figure 6

Deduplication Performance Comparison: Fast-ER Runs Over 200 Times Faster than fastLink When Both Are Executed on a Google Colab Instance.

DOI: https://doi.org/10.5334/jors.556 | Journal eISSN: 2049-9647
Language: English
Submitted on: Jan 28, 2025
Accepted on: Apr 7, 2026
Published on: Apr 21, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2026 Jacob Morrier, Sulekha Kishore, R. Michael Alvarez, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.