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[PRE REVIEW]: FPGAI Engine for Neural Network Training and Inference #7427

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editorialbot opened this issue Nov 4, 2024 · 11 comments
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C++ pre-review Python query-scope Submissions of uncertain scope for JOSS rejected Tcl Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning

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Submitting author: @umutcanaltin (Umut Can Altin)
Repository: https://github.com/umutcanaltin/fpgai_compiler
Branch with paper.md (empty if default branch): main
Version: v1.0.0
Editor: Pending
Reviewers: Pending
Managing EiC: Chris Vernon

Status

status

Status badge code:

HTML: <a href="https://joss.theoj.org/papers/22fc5c3ebb7b710b4ca243ddddb2229f"><img src="https://joss.theoj.org/papers/22fc5c3ebb7b710b4ca243ddddb2229f/status.svg"></a>
Markdown: [![status](https://joss.theoj.org/papers/22fc5c3ebb7b710b4ca243ddddb2229f/status.svg)](https://joss.theoj.org/papers/22fc5c3ebb7b710b4ca243ddddb2229f)

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Thanks for submitting your paper to JOSS @umutcanaltin. Currently, there isn't a JOSS editor assigned to your paper.

@umutcanaltin if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). You can search the list of people that have already agreed to review and may be suitable for this submission.

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The JOSS submission bot @editorialbot is here to help you find and assign reviewers and start the main review. To find out what @editorialbot can do for you type:

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@editorialbot editorialbot added pre-review Track: 5 (DSAIS) Data Science, Artificial Intelligence, and Machine Learning labels Nov 4, 2024
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Hello human, I'm @editorialbot, a robot that can help you with some common editorial tasks.

For a list of things I can do to help you, just type:

@editorialbot commands

For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:

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

✅ OK DOIs

- 10.1109/NSS/MIC44845.2022.10399017 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: LeFlow: Enabling Flexible FPGA High-Level Synthesi...
- No DOI given, and none found for title: Finn: A framework for fast, scalable binarized neu...

❌ MISSING DOIs

- None

❌ INVALID DOIs

- None

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Software report:

github.com/AlDanial/cloc v 1.90  T=0.03 s (1325.7 files/s, 97637.2 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                          24            379            382           1041
C++                              2             41             10            193
Markdown                         3             77              0            184
Tcl/Tk                           2             31             21             74
TeX                              1              2              0             27
YAML                             1              2              4             20
C/C++ Header                     1              3              1             12
-------------------------------------------------------------------------------
SUM:                            34            535            418           1551
-------------------------------------------------------------------------------

Commit count by author:

    85	Umut Can ALTIN
     9	Marcel van Gerven

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Paper file info:

📄 Wordcount for paper.md is 1736

✅ The paper includes a Statement of need section

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License info:

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

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👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

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Five most similar historical JOSS papers:

FreqAI: generalizing adaptive modeling for chaotic time-series market forecasts
Submitting author: @robcaulk
Handling editor: @Fei-Tao (Active)
Reviewers: @ady00, @shagunsodhani
Similarity score: 0.6621

tfaip - a Generic and Powerful Research Framework for Deep Learning based on Tensorflow
Submitting author: @chwick
Handling editor: @arfon (Active)
Reviewers: @levimcclenny, @Het-Shah
Similarity score: 0.6426

GraphNeT: Graph neural networks for neutrino telescope event reconstruction
Submitting author: @asogaard
Handling editor: @dfm (Active)
Reviewers: @JostMigenda, @GageDeZoort
Similarity score: 0.6387

LINFA: a Python library for variational inference with normalizing flow and annealing
Submitting author: @daneschi
Handling editor: @lrnv (Active)
Reviewers: @robmoss, @selimfirat
Similarity score: 0.6297

High-performance neural population dynamics modeling enabled by scalable computational infrastructure
Submitting author: @a9p
Handling editor: @emdupre (Active)
Reviewers: @richford, @tachukao
Similarity score: 0.6286

⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

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crvernon commented Nov 9, 2024

@editorialbot query scope

👋 @umutcanaltin - I am going to run this one by our larger editorial board to ensure it meets our substantial scholarly effort requirements. I'll be back in touch as soon as a consensus has been reached. Thank you.

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Submission flagged for editorial review.

@editorialbot editorialbot added the query-scope Submissions of uncertain scope for JOSS label Nov 9, 2024
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crvernon commented Dec 2, 2024

@editorialbot reject

👋 @umutcanaltin - After review with our larger editorial board, we have decided to reject this submission on the grounds that it does not meet our requirements for substantial scholarly effort. This was due to the lower lines of code count and lack of documentation to test the engine and communicate how to extend the work.

Thank you for submitting to JOSS.

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Paper rejected.

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