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Dear Andrei,
In support what Axel said that building a (DSL-based) PIC-framework in Julia would be awesome and if you know how to acquire resources for this we would be very happy to support this (maybe a common proposal to a funding agency is available for that).
For data analysis again we provide already a variety of tools that provide Julia bindings but currently focus on the extremely large ecosystem Python provides.
I see potential benefits for both subjects and would actively support this if you could point me to a funding source that allows for getting this going.
Best, Michael
> Am 06.07.2017 um 13:22 schrieb Axel Huebl <a.huebl@hzdr.de>:
>
> Hi Andrei,
>
> awesome question!
>
> We are currently aiming for an all-python framework for pre-, main- and
> post-processing due to the large community around it which heavily
> intersects with our user-base.
>
> One could in principle try to get a similar "PIC framework" up and
> running using Julia, designing even a JIT-capable base DSL for PIC. This
> is probably way more comfortable than trying to do the same in modern
> C++ (with a C++ JIT) or directly as an LLVM frontend.
>
> Have we tried this or concrete plans? No, not yet and I would estimate
> the scope being a fantastic research topic of its own which we currently
> don't have the resources nor community at hand for.
>
> Post-Processing: even today, you can already use the whole Julia
> environment to post-process our simulation output. We generate
> fully-documented output in either text [1], HDF5 or ADIOS files [2]
> which all have language bindings in Julia.
>
> We have not yet written domain-specific Julia modules that can assist
> you on a high-level with, e.g. phase space selections, particle tracking
> or similar in Julia. If you or the community in general are interested
> in using Julia as a post-processing language with PIConGPU we will
> definitely encourage that effort!
>
> One thing of particular interest for JIT-ed languages (such as Julia &
> Python) in the future could be so called "staged" simulations in which
> one does not create conventional "file output" anymore but streams the
> complete data from one app over another over another over ... If Julia
> is of particular interest for the community, the ADIOS2 project [3]
> would be a good candidate to ask for Julia bindings (just open an
> issue). Afaik, their current scope is C, C++, Fortran and Python. From
> the PIConGPU side, we will continue enhancing ADIOS in the openPMD
> environment as our major HPC I/O strategy.
>
>
> Cheers,
> Axel
>
> [1]
> https://github.com/ComputationalRadiationPhysics/picongpu/wiki/PIConGPU-Plugins
> [2] http://openPMD.org
> https://github.com/openPMD
> [3] https://github.com/ornladios/ADIOS2
>
>> On 06.07.2017 09:48, Andrei Berceanu wrote:
>> Hi Axel,
>>
>> I was wondering, what do you guys think of the Julia language [1]? Are there any plans to use it for the PIC code in the future (or at least for the post-processing part)?
>>
>> Thanks,
>> Andrei
>>
>> [1] https://julialang.org
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>
> --
>
> Axel Huebl
> Phone +49 351 260 3582
> https://www.hzdr.de/crp
> Computational Radiation Physics
> Laser Particle Acceleration Division
> Helmholtz-Zentrum Dresden - Rossendorf e.V.
>
> Bautzner Landstrasse 400, 01328 Dresden
> POB 510119, D-01314 Dresden
> Vorstand: Prof. Dr.Dr.h.c. R. Sauerbrey
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> VR 1693 beim Amtsgericht Dresden
>
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