Trac June 2024

trac@lists.einsteintoolkit.org

1 participants
36 discussions

#2807: Hydro_RNSD passes CFLAGS to LD
by Roland Haas 28 Jun '24

28 Jun '24

#2807: Hydro_RNSD passes CFLAGS to LD Reporter: Roland Haas Status: new Milestone: Version: Type: bug Priority: minor Component: EinsteinToolkit thorn Hydro\_RNSID passed CFLAGS to LD when linking its utilities: ``` HYDRO_RNS_LDFLAGS := $(HYDRO_RNS_CFLAGS) $(DEBUG_LD) $(LDFLAGS) $(EXTRAFLAGS) $(GENERAL_LIBRARIES ``` ‌ this fails if `LD` is `nvcc` which will not accept a `-std=gnu99` or `-std=c99` option typically present in `CFLAGS` since it only accepts C\+\+ language flavors. This is similar to #2553 where Cactus pass `CPPFLAGS` and `CXXFLAGS` to `LD` -- Ticket URL: https://bitbucket.org/einsteintoolkit/tickets/issues/2807/hydro_rnsd-passes…

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#2174: Test "Multi Patch Scalar Wave Equation" example
by Lucas Timotheo Sanches 27 Jun '24

27 Jun '24

#2174: Test "Multi Patch Scalar Wave Equation" example Reporter: Roland Haas Status: resolved Milestone: ET_2024_05 Version: development version Type: task Priority: major Component: EinsteinToolkit website Changes (by Lucas Timotheo Sanches): status: resolved (was open) -- Ticket URL: https://bitbucket.org/einsteintoolkit/tickets/issues/2174/test-multi-patch-…

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#2174: Test "Multi Patch Scalar Wave Equation" example
by Lucas Timotheo Sanches 27 Jun '24

27 Jun '24

#2174: Test "Multi Patch Scalar Wave Equation" example Reporter: Roland Haas Status: open Milestone: ET_2024_05 Version: development version Type: task Priority: major Component: EinsteinToolkit website Changes (by Lucas Timotheo Sanches): Before each release, check that http://einsteintoolkit.org/gallery/multipatch/index.html still works and produces correct output. Steps: 1\. download the _development_ version of the Einstein Toolkit: ```shell curl -kLO https://raw.githubusercontent.com/gridaphobe/CRL/master/GetComponents chmod a+x GetComponents ./GetComponents https://bitbucket.org/einsteintoolkit/manifest/raw/master/einsteintoolkit.th ``` 2\. download the parameter file fro the gallery example ```shell cd Cactus wget --output-document par/Kerr-Schild_Multipole.par https://bitbucket.org/llamacode/llama/raw/master/LlamaWaveToy/par/Kerr-Schi… ``` 3\. compile Cactus for the system you are on $this may require that you add a cluster allocation etc.$ ```shell ./utils/Scripts/MakeThornList --master thornlists/einsteintoolkit.th --output thornlists/Kerr-Schild_Multipole.th par/Kerr-Schild_Multipole.par ./simfactory/bin/sim setup-silent ./simfactory/bin/sim build --thornlist thornlists/Kerr-Schild_Multipole.th ``` 4\. run the simulation, using number of MPI ranks similar to what is shown on the ET website, so _for example_ ```shell ./simfactory/bin/sim create-submit Kerr-Schild_Multipole --parfile par/Kerr-Schild_Multipole.par --cores 8 --num-threads 2 --walltime 0:30:00 ``` 5\. on your laptop install VisIt using the precompiled executable available from its [download page](https://visit-dav.github.io/visit-website/) 6\. get the VisIt session file ```shell wget http://einsteintoolkit.org/gallery/multipatch/Kerr-Schild_Multipole.session ``` ‌ -- Ticket URL: https://bitbucket.org/einsteintoolkit/tickets/issues/2174/test-multi-patch-…

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#2806: support CarpetX grid scalars and grid arrays on GPUs
by Roland Haas 27 Jun '24

27 Jun '24

#2806: support CarpetX grid scalars and grid arrays on GPUs Reporter: Roland Haas Status: open Milestone: Version: Type: enhancement Priority: major Component: EinsteinToolkit thorn Comment (by Roland Haas): Please review. -- Ticket URL: https://bitbucket.org/einsteintoolkit/tickets/issues/2806/support-carpetx-g…

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#2806: support CarpetX grid scalars and grid arrays on GPUs
by Roland Haas 27 Jun '24

27 Jun '24

#2806: support CarpetX grid scalars and grid arrays on GPUs Reporter: Roland Haas Status: open Milestone: Version: Type: enhancement Priority: major Component: EinsteinToolkit thorn Changes (by Roland Haas): status: open (was new) -- Ticket URL: https://bitbucket.org/einsteintoolkit/tickets/issues/2806/support-carpetx-g…

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#2806: support CarpetX grid scalars and grid arrays on GPUs
by Roland Haas 27 Jun '24

27 Jun '24

#2806: support CarpetX grid scalars and grid arrays on GPUs Reporter: Roland Haas Status: new Milestone: Version: Type: enhancement Priority: major Component: EinsteinToolkit thorn Comment (by Roland Haas): Pull request is [https://github.com/EinsteinToolkit/CarpetX/pull/293](https://github.com/Ein… -- Ticket URL: https://bitbucket.org/einsteintoolkit/tickets/issues/2806/support-carpetx-g…

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#2806: support CarpetX grid scalars and grid arrays on GPUs
by Roland Haas 27 Jun '24

27 Jun '24

#2806: support CarpetX grid scalars and grid arrays on GPUs Reporter: Roland Haas Status: new Milestone: Version: Type: enhancement Priority: major Component: EinsteinToolkit thorn These commits use AMReX's arena to allocated storage for grid scalars and grid arrays so that they are visible to GPUs -- Ticket URL: https://bitbucket.org/einsteintoolkit/tickets/issues/2806/support-carpetx-g…

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#2806: support CarpetX grid scalars and grid arrays on GPUs
by Roland Haas 27 Jun '24

27 Jun '24

#2806: support CarpetX grid scalars and grid arrays on GPUs Reporter: Roland Haas Status: new Milestone: Version: Type: enhancement Priority: major Component: EinsteinToolkit thorn Changes (by Roland Haas): responsible: [] (was ) assignee: Roland Haas (was ) -- Ticket URL: https://bitbucket.org/einsteintoolkit/tickets/issues/2806/support-carpetx-g…

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#2696: Update kuibit to 1.4.0
by Roland Haas 26 Jun '24

26 Jun '24

#2696: Update kuibit to 1.4.0 Reporter: Gabriele Bozzola Status: open Milestone: ET_2023_05 Version: Type: enhancement Priority: major Component: Comment (by Roland Haas): Sure. Note that the `numpy` ↔︎ Python compatibility issue does not directly arise with those clusters I would claim. The old clusters only providing old Python will provide an equally old $and compatible to Python$ `numpy`. So the issue would be more whether `kuibit` can support both old and new `numpy` versions. From previous discussion about this my understanding is that supporting both numpy versions is $basically$ impossible in kuibit. So faced with the choice of having to drop support for some version of `numpy` dropping support for the older one rather than dropping support for all newer versions makes sense. This has been an issue with old HPC clusters all the time, they just offer quite old software stacks. -- Ticket URL: https://bitbucket.org/einsteintoolkit/tickets/issues/2696/update-kuibit-to-…

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#2696: Update kuibit to 1.4.0
by Gabriele Bozzola 26 Jun '24

26 Jun '24

#2696: Update kuibit to 1.4.0 Reporter: Gabriele Bozzola Status: open Milestone: ET_2023_05 Version: Type: enhancement Priority: major Component: Comment (by Gabriele Bozzola): kuibit’s discovery mechanisms can be slow on distributed filesystems when there are lots of small files $for ASCII files, kuibit opens every file and does regular expression matching to find what’s inside$. I wrote some recommendations here [https://sbozzolo.github.io/kuibit/faq.html#some-of-the-attributes-in-simdir… It is also a good idea to use HDF5 whenever possible $eg for waveform and horizon data too$ ‌ Note also that Python 3.6 end of life was 2021. Numpy dropped support from Python 3.6 in 2020 $version 1.20$. -- Ticket URL: https://bitbucket.org/einsteintoolkit/tickets/issues/2696/update-kuibit-to-…

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Trac June 2024