[PRE REVIEW]: Fast-ER: GPU-Accelerated Record Linkage and Deduplication in Python

[editorialbot]

Submitting author: !--author-handle-->@jacobmorrier<!--end-author-handle-- (Jacob Morrier) Repository: https://github.com/jacobmorrier/fast-er Branch with paper.md (empty if default branch): Version: v0.1.1 Editor: Pending Reviewers: Pending Managing EiC: Samuel Forbes

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.06 s (511.9 files/s, 99071.8 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
SVG                              5              0             65           3163
Python                           9            666            811            625
TeX                              1             12              0            107
YAML                             3             11              9             87
reStructuredText                 9            118            104             85
Markdown                         2             30              0             52
DOS Batch                        1              8              1             26
make                             1              4              7              9
-------------------------------------------------------------------------------
SUM:                            31            849            997           4154
-------------------------------------------------------------------------------

Commit count by author:

   391  Jacob Morrier
    67  jacobmorrier
    17  sukishore12
     3  Sulekha Kishore

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 1067

✅ The paper includes a Statement of need section

[editorialbot]

License info:

✅ License found: MIT License (Valid open source OSI approved license)

[editorialbot]

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.23889/ijpds.v7i3.1794 is OK
- 10.1017/S0003055418000783 is OK
- 10.1111/joes.12395 is OK
- 10.1146/annurev-soc-073117-041447 is OK
- 10.1146/annurev-publhealth-031210-100700 is OK
- 10.1017/S0003055420000556 is OK
- 10.1177/1532673X19870512 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: CuPy: A NumPy-Compatible Library for NVIDIA GPU Ca...
- No DOI given, and none found for title: Arrow Columnar Format
- No DOI given, and none found for title: String Comparator Metrics and Enhanced Decision Ru...
- No DOI given, and none found for title: RAPIDS: Libraries for End to End GPU Data Science
- No DOI given, and none found for title: Programming Massively Parallel Processors: A Hands...

❌ MISSING DOIs

- 10.32614/cran.package.fastlink may be a valid DOI for title: fastLink: Fast Probabilistic Record Linkage with M...

❌ INVALID DOIs

- None

[editorialbot]

:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:

[editorialbot]

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[samhforbes]

Hi @jacobmorrier thanks for submitting to JOSS. Given the relatively small size of the package in terms of python code, this will be discussed for scope by our editors.

[samhforbes]

@editorialbot query scope

[editorialbot]

Submission flagged for editorial review.

[jacobmorrier]

Hi! Thank you for considering our submission. While it’s being reviewed for scope, I’d like to suggest two potential reviewers from the directory whose expertise includes record linkage and entity resolution: KonradHoeffner and vaneseltine. Additionally, I believe it would be beneficial to include at least one reviewer familiar with CUDA.

[jacobmorrier]

I would like to point out that some CUDA code is not included in the software report because it is stored as strings in Python scripts and compiled using CuPy.

[samhforbes]

Hi @jacobmorrier thanks for the additional context. We will come back to you shortly.