Open editorialbot opened 2 weeks ago
Hello humans, 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:
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For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:
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Software report:
github.com/AlDanial/cloc v 1.90 T=0.31 s (1332.2 files/s, 409605.7 lines/s)
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Language files blank comment code
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C++ 164 8115 16162 43952
C/C++ Header 133 4827 18918 12338
C 34 1405 2544 9424
YAML 14 89 515 1449
m4 7 298 121 1074
make 22 214 102 1038
Markdown 10 259 0 694
TeX 1 60 0 477
GLSL 6 115 323 437
CMake 5 57 6 400
Bourne Again Shell 7 58 196 237
Bourne Shell 6 63 216 214
Perl 1 43 58 207
Python 1 18 100 145
TOML 1 1 0 5
HTML 1 0 2 3
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SUM: 413 15622 39263 72094
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Commit count by author:
2752 Johannes Holke
700 David Knapp
666 Sandro Elsweijer
334 Knapp
294 ililikakis
193 Johannes Markert
180 jfussbro
175 David
160 Dreyer, Lukas
118 Weber
106 Ioannis Lilikakis
100 Carsten Burstedde
77 Niklas Böing
75 Chiara Hergl
53 Veli Uenlue
45 Alex Dutka
44 Davknapp
41 Zoltan
31 holke
22 jmark
21 Julia Weber
19 lukasdreyer
12 dependabot[bot]
11 JPGeorgeDLR
11 Niklas
9 Michael Schlottke-Lakemper
7 ililikak
6 Hendrik Ranocha
6 Lukas Dreyer
5 Elsweijer
5 Prasanna Ponnusamy
3 Andrew C Kirby
3 Benedict Geihe
3 Jona Ackerschott
3 WeberJulia
2 Evgenii Andreev
2 Jakob Fußbroich
2 Pierre Kestener
2 Prasanna
2 Schönlein, Katrin
1 Florian Becker
1 Jonas Thies
1 Lilikakis
1 Niklas997
1 Tabea-leistikow
1 Zoltán Csáti
1 bgeihe
1 schok6
Paper file info:
📄 Wordcount for paper.md
is 1360
✅ The paper includes a Statement of need
section
License info:
🟡 License found: GNU General Public License v2.0
(Check here for OSI approval)
Reference check summary (note 'MISSING' DOIs are suggestions that need verification):
OK DOIs
- 10.5281/zenodo.7034838 is OK
- 10.1137/20M1383033 is OK
- 10.1002/nme.2579 is OK
- 10.1007/978-3-642-03344-5_6 is OK
- 10.1016/j.camwa.2020.05.004 is OK
- 10.1137/15M1040049 is OK
- 10.1016/S0010-4485(00)00120-2 is OK
- 10.1016/0021-9991(84)90073-1 is OK
- 10.1145/3319797 is OK
- 10.1145/1362622.1362656 is OK
- 10.1016/j.jcp.2012.10.038 is OK
- 10.1016/S0377-0427(99)00156-9 is OK
- 10.1007/s00466-012-0736-4 is OK
- 10.1137/070681727 is OK
- 10.1137/100791634 is OK
- 10.1002/nme.397 is OK
- 10.1016/j.apnum.2004.08.040 is OK
- 10.1007/s00366-004-0295-1 is OK
- 10.1137/16M1103518 is OK
- 10.1016/j.finel.2009.06.016 is OK
- 10.1145/3401990 is OK
- 10.1016/j.cpc.2019.106866 is OK
- 10.1145/1268776.1268779 is OK
- 10.1137/0733054 is OK
- 10.1137/0715049 is OK
- 10.5281/zenodo.3996439 is OK
MISSING DOIs
- No DOI given, and none found for title: Scalable algorithms for parallel tree-based adapti...
- No DOI given, and none found for title: Industry-Relevant Implicit Large-Eddy Simulation o...
- No DOI given, and none found for title: Open CASCADE Technology
- No DOI given, and none found for title: JUWELS Supercomputer
- No DOI given, and none found for title: JUQUEEN Supercomputer
- No DOI given, and none found for title: Curved Domain Adaptive Mesh Refinement with Hexahe...
- No DOI given, and none found for title: The characteristics of 78 related airfoil sections...
- No DOI given, and none found for title: t8code: Parallel AMR on hybrid non-conforming mesh...
- No DOI given, and none found for title: The ParaView guide: Updated for ParaView version 4...
- No DOI given, and none found for title: Adaptive Verfeinerung von Prismen
- No DOI given, and none found for title: A space-filling curve for pyramidal adaptive mesh ...
- No DOI given, and none found for title: Removing hanging faces from tree-based adaptive me...
- No DOI given, and none found for title: Algorithms for tree-based adaptive meshes with inc...
- No DOI given, and none found for title: The local discontinuous galerkin method for the ad...
- No DOI given, and none found for title: Towards high-order, hybrid adaptive mesh refinemen...
INVALID DOIs
- None
:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:
Hi @jwallwork23, @DamynChipman, and @alecontri - thank you all again for offering to peer-review t8code
. Hopefully the peer review process ultimately results in the creation of a software tool that is useful to the broader community.
Please see the instructions at the top of this issue on how to generate your reviewer checklist and a link to the reviewer guidelines. Do not hesitate to reach out to me if you have any questions about the JOSS review process.
Right now we are asking that reviewers try to complete their reviews in 6 weeks if possible, so by July 25 in this case. Please keep us posted here if you think you will need an extension. I will ask the bot to issue reminders in 3 weeks so we all stay aware of this on-going review.
Thanks again, Jay
@editorialbot remind @jwallwork23 in three weeks
Reminder set for @jwallwork23 in three weeks
@editorialbot remind @DamynChipman in three weeks
Reminder set for @DamynChipman in three weeks
@editorialbot remind @alecontri in three weeks
Reminder set for @alecontri in three weeks
@danielskatz, reviewers have raised the point that it is not possible to verify the large-scale performance claims of the software without access to a large computing cluster. Do you have any guidance on how this has been handled for other JOSS submissions in the past?
Alternatively, @jmark, do you have any input on how our reviewers might test the scalability of t8code
without access to exascale compute resources?
Thanks all!
This problem also comes up in reproducibility and artifact evaluation. One option is simply to verify what can be verified (single system performance, scaling within that system) and to say that this is all that can be verified. Perhaps a reviewer might have access to a small cluster to run some small scaling experiments provided by the author? And/or perhaps the author can provide logs and outputs of large-scale runs?
I have access to a cluster I can run some small scaling tests on.
@danielskatz, reviewers have raised the point that it is not possible to verify the large-scale performance claims of the software without access to a large computing cluster. Do you have any guidance on how this has been handled for other JOSS submissions in the past?
Alternatively, @jmark, do you have any input on how our reviewers might test the scalability of
t8code
without access to exascale compute resources?Thanks all!
Unfortunately, not really. Only benchmarks on a cluster will show the scalability or not. I can offer to generate up-to-date benchmark data on clusters I have access to with setup parameters given by the reviewers.
Thanks for that offer @jmark. Also, given that @DamynChipman can run on a small cluster, this seems like it may be sufficient. @elbeejay, what do you think?
I agree, thanks @DamynChipman for chiming in. I'd ask that our other reviewers just make a note that they were unable to test the scalability of the package due to lack of access to a computing cluster.
Submitting author: !--author-handle-->@jmark<!--end-author-handle-- (Johannes Markert) Repository: https://github.com/DLR-AMR/t8code Branch with paper.md (empty if default branch): JOSS-paper Version: v2.0.0 Editor: !--editor-->@elbeejay<!--end-editor-- Reviewers: @jwallwork23, @DamynChipman, @alecontri Archive: Pending
Status
Status badge code:
Reviewers and authors:
Please avoid lengthy details of difficulties in the review thread. Instead, please create a new issue in the target repository and link to those issues (especially acceptance-blockers) by leaving comments in the review thread below. (For completists: if the target issue tracker is also on GitHub, linking the review thread in the issue or vice versa will create corresponding breadcrumb trails in the link target.)
Reviewer instructions & questions
@jwallwork23 & @DamynChipman & @alecontri, your review will be checklist based. Each of you will have a separate checklist that you should update when carrying out your review. First of all you need to run this command in a separate comment to create the checklist:
The reviewer guidelines are available here: https://joss.readthedocs.io/en/latest/reviewer_guidelines.html. Any questions/concerns please let @elbeejay know.
✨ Please start on your review when you are able, and be sure to complete your review in the next six weeks, at the very latest ✨
Checklists
📝 Checklist for @jwallwork23
📝 Checklist for @alecontri
📝 Checklist for @DamynChipman