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[PRE REVIEW]: gpu-ISTL - Extending OPM Flow with GPU Linear Solvers #7524
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Five most similar historical JOSS papers: Ginkgo: A high performance numerical linear algebra library SPbLA: The Library of GPGPU-powered Sparse Boolean Linear Algebra Operations libCEED: Fast algebra for high-order element-based discretizations iharm3D: Vectorized General Relativistic Magnetohydrodynamics The 2DECOMP&FFT library: an update with new CPU/GPU capabilities |
@multitalentloes - Our apologies for the delay in getting this started. Something went wrong internally, but it's now fixed. |
I note that this is a very large repo. It appears that you are submitted a part of this for review, as an element of the full repo, but this is not completely clear. Can you identify the branch/files/etc that is the submitted contribution? Additionally, the paper is about 50% longer than recommended for a JOSS submission. I wonder if there's part of this that could be place in the documentation or repo, then pointed to there, rather than being in the paper? The performance case study perhaps? |
Hello Daniel, thank you very much for initiating the pre-review. The contributions described in this article predominantly reside in the
There are other minor parts of the repository which have been added to support the
Regarding the length of the article; I think the section demonstrating that the current framework can yield significant speedup over conventional processors when running OPM Flow makes an important point, so I would like to keep it in some shape or form. We can maybe move Edit: I forgot to mention that we also have a folder with tests specifically for gpu-ISTL functionality located in |
Thanks. And your suggestions for reducing the paper's word count seem reasonable. Please feel free to make changes, then use the command editorialbot commands need to be the first entry in a new comment. You can also use |
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Run configurations for the case study have been moved to a separate |
Yes, thanks. But we're currently managing a large backlog of submissions and the editors most appropriate for your area is already rather busy. For now, we will need to waitlist this paper and process it as the queue reduces. Thanks for your patience! |
👋 @prashjha - given that another submission you have is almost done, would you be willing to edit this one? |
@editorialbot invite @prashjha as editor |
Invitation to edit this submission sent! |
@danielskatz, happy to edit this! |
@editorialbot assign me as editor |
Assigned! @prashjha is now the editor |
Thank you @prashjha for accepting to be the editor of this submission, we are looking forward to the review process. |
What is the next stage of the pre-review @prashjha, finding reviewers? |
👋 @prashjha - can you please get this one started? |
@danielskatz will do! |
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Hello @prashjha, here are the things you can ask me to do:
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Five most similar historical JOSS papers: iharm3D: Vectorized General Relativistic Magnetohydrodynamics ACHR.cu: GPU-accelerated sampling of metabolic networks vSmartMOM.jl: an Open-Source Julia Package for Atmospheric Radiative Transfer and Remote Sensing Tools Ginkgo: A high performance numerical linear algebra library SPbLA: The Library of GPGPU-powered Sparse Boolean Linear Algebra Operations |
Hello @bprather, @marouenbg, @RupeshJey, @pratikvn, and @EgorOrachyov, I am looking for two reviewers for this JOSS submission. Please let me know if you will be interested in reviewing this submission. If you have questions, feel free to ping me here. You can access the pdf from this link and the corresponding repository is here. |
Apologies @prashjha, it is not directly linked to my area of research and so I won't be able to evaluate the use case effectively. Thanks! |
@prashjha, I am interested in reviewing. I am currently a bit busy with other commitments, so it might take more time than usual for me to finish my review. If that is okay, then you can count me in. |
@prashjha I'm afraid this is pretty far from my expertise as well, sorry! |
@marouenbg and @bprather thank you for letting me know. |
@pratikvn, thank you for your positive response. I am adding you as a reviewer; hopefully, it will work out fine. |
@editorialbot add @pratikvn as reviewer |
@pratikvn added to the reviewers list! |
Howdy @yhtang, @berenger-eu, @kris-rowe, @leios, I am looking for a reviewer for this JOSS submission. Please let me know if you will be interested in reviewing this submission. If you have questions, feel free to ping me here. You can access the pdf from this link and the corresponding repository is here. |
Hello @prashjha yes I can be a reviewer. |
Hi @berenger-eu, great. Thank you for volunteering! |
@editorialbot add @berenger-eu as reviewer |
@berenger-eu added to the reviewers list! |
Hello @yhtang, @kris-rowe, @leios, @RupeshJey, and @EgorOrachyov, we have two reviewers. Please ignore my review invitation. |
@multitalentloes, we have two reviewers, so I will start the review. It will take place in a new GitHub issue. |
@editorialbot start review |
OK, I've started the review over in #7740. |
Submitting author: @multitalentloes (Tobias Meyer Andersen)
Repository: https://github.com/OPM/opm-simulators
Branch with paper.md (empty if default branch): joss_gpuistl_paper
Version: 2024.10
Editor: @prashjha
Reviewers: @pratikvn, @berenger-eu
Managing EiC: Daniel S. Katz
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