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https://github.com/ComputationalRadiationPhysics/picongpu
Performance-Portable Particle-in-Cell Simulations for the Exascale Era :sparkles:
https://github.com/ComputationalRadiationPhysics/picongpu
gpu gpu-computing laser particle-accelerator particle-in-cell physics physics-simulation pic plasma research
Last synced: 14 days ago
JSON representation
Performance-Portable Particle-in-Cell Simulations for the Exascale Era :sparkles:
- Host: GitHub
- URL: https://github.com/ComputationalRadiationPhysics/picongpu
- Owner: ComputationalRadiationPhysics
- License: other
- Created: 2013-07-30T12:28:20.000Z (over 11 years ago)
- Default Branch: dev
- Last Pushed: 2024-10-28T09:30:19.000Z (16 days ago)
- Last Synced: 2024-10-28T12:30:20.119Z (16 days ago)
- Topics: gpu, gpu-computing, laser, particle-accelerator, particle-in-cell, physics, physics-simulation, pic, plasma, research
- Language: C++
- Homepage: https://picongpu.readthedocs.io
- Size: 56.1 MB
- Stars: 703
- Watchers: 51
- Forks: 217
- Open Issues: 420
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: COPYING
Awesome Lists containing this project
README
PIConGPU - Particle-in-Cell Simulations for the Exascale Era
============================================================
[](https://gitlab.com/hzdr/crp/picongpu/pipelines/dev/latest)
[](http://picongpu.readthedocs.io)
[](http://computationalradiationphysics.github.io/picongpu)
[](https://isocpp.org/)
[](https://www.gnu.org/licenses/gpl-3.0.html)
[](https://www.gnu.org/licenses/lgpl-3.0.html)
[](http://www.youtube.com/watch?v=nwZuG-XtUDE)
[](http://www.youtube.com/watch?v=nwZuG-XtUDE)
Introduction
------------
PIConGPU is a fully relativistic,
[manycore](https://en.wikipedia.org/wiki/Manycore_processor),
3D3V particle-in-cell ([PIC](http://en.wikipedia.org/wiki/Particle-in-cell))
code. The Particle-in-Cell algorithm is a central tool in plasma physics.
It describes the dynamics of a plasma by computing the motion of
electrons and ions in the plasma based on
[Maxwell's equations](http://en.wikipedia.org/wiki/Maxwell%27s_equations).
PIConGPU implements various numerical schemes to solve the PIC cycle.
Its features for the electro-magnetic PIC algorithm include:
- a central or Yee-lattice for fields
- particle pushers that solve the equation of motion for charged and neutral
particles, e.g., the *Boris-* and the
[*Vay-Pusher*](http://dx.doi.org/10.1063/1.2837054)
- Maxwell field solvers, e.g.
[*Yee's*](http://dx.doi.org/10.1109/TAP.1966.1138693) and
[*Lehe's*](http://dx.doi.org/10.1103/PhysRevSTAB.16.021301) scheme
- rigorously charge conserving current deposition schemes, such as
[*Esirkepov*](http://dx.doi.org/10.1016/S0010-4655%2800%2900228-9)
and *EZ* (Esirkepov meets ZigZag)
- macro-particle form factors ranging from NGP (0th order), CIC (1st),
TSC (2nd), PQS (3rd) to PCS (4th)
and the electro-magnetic PIC algorithm is further self-consistently coupled to:
- classical radiation reaction
([DOI:10.1016/j.cpc.2016.04.002](http://dx.doi.org/10.1016/j.cpc.2016.04.002))
- advanced field ionization methods
([DOI:10.1103/PhysRevA.59.569](http://dx.doi.org/10.1103/PhysRevA.59.569),
[LV Keldysh](http://www.jetp.ac.ru/cgi-bin/dn/e_020_05_1307.pdf), BSI)
Besides the electro-magnetic PIC algorithm and extensions to it, we developed
a wide range of tools and diagnostics, e.g.:
- online, far-field radiation diagnostics for coherent and incoherent radiation
emitted by charged particles
- full restart and output capabilities via [openPMD](http://openPMD.org),
including [parallel HDF5](http://hdfgroup.org/)
- 2D and 3D live view and diagnostics tools
- a large selection of extensible
[online-plugins](http://picongpu.readthedocs.io/en/latest/usage/plugins.html)
As one of our supported compute platforms, GPUs provide a computational
performance of several
[TFLOP/s](http://en.wikipedia.org/wiki/FLOPS) at considerable lower invest and
maintenance costs compared to multi CPU-based compute architectures of similar
performance. The latest high-performance systems
([TOP500](http://www.top500.org/)) are enhanced by accelerator hardware that
boost their peak performance up to the multi-PFLOP/s level. With its
outstanding performance and scalability to more than 18'000 GPUs,
PIConGPU was one of the **finalists** of the 2013
[Gordon Bell Prize](http://sc13.supercomputing.org/content/acm-gordon-bell-prize).
PIConGPU is developed and maintained by the
[Computational Radiation Physics Group](https://www.hzdr.de/db/Cms?pNid=2097)
at the [Institute for Radiation Physics](http://www.hzdr.de/db/Cms?pNid=132)
at [HZDR](http://www.hzdr.de/) in close collaboration with the Center
for Information Services and High Performance Computing
([ZIH](http://tu-dresden.de/die_tu_dresden/zentrale_einrichtungen/zih)) of the
Technical University Dresden ([TUD](http://www.tu-dresden.de)). We are a
member of the [Dresden GPU Center of Excellence](http://ccoe-dresden.de/) that
cooperates on a broad range of scientific GPU and manycore applications,
workshops and teaching efforts.
Attribution
-----------
PIConGPU is a *scientific project*. If you **present and/or publish** scientific
results that used PIConGPU, you should set a **reference** to show your support.
Our according **up-to-date publication** at **the time of your publication**
should be inquired from:
- [REFERENCE.md](https://raw.githubusercontent.com/ComputationalRadiationPhysics/picongpu/master/REFERENCE.md)
Please also consider adding yourself to our [community map](https://github.com/ComputationalRadiationPhysics/picongpu-communitymap).
We would love to hear from you!
Oral Presentations
------------------
The following slide should be part of **oral presentations**. It is intended to
acknowledge the team maintaining PIConGPU and to support our community:
(*coming soon*) presentation_picongpu.pdf
(svg version, key note version, png version: 1920x1080 and 1024x768)
Software License
----------------
*PIConGPU* is licensed under the **GPLv3+**. Furthermore, you can develop your
own particle-mesh algorithms based on our general library *PMacc* that is
shipped alongside PIConGPU. *PMacc* is *dual licensed* under both the
**GPLv3+ and LGPLv3+**.
For a detailed description, please refer to [LICENSE.md](LICENSE.md)
********************************************************************************
Install
-------
See our notes in [INSTALL.rst](INSTALL.rst).
Users
-----
Dear User, we hereby emphasize that we are still actively developing PIConGPU at great
speed and do, from time to time, break backwards compatibility.
When using this software, please stick to the latest release or use the `dev` branch containing the
latest changes. It also contains a file `CHANGELOG.md` with the
latest changes (and how to update your simulations). Read it first before
updating between two versions! Also, we add a git `tag` according to a version
number for each release.
For any questions regarding the usage of PIConGPU please **do not** contact the
developers and maintainers directly.
Instead, please [open an issue on GitHub](https://github.com/ComputationalRadiationPhysics/picongpu/issues/new).
Before you post a question, browse the PIConGPU
[documentation](https://github.com/ComputationalRadiationPhysics/picongpu/search?l=markdown),
[wiki](https://github.com/ComputationalRadiationPhysics/picongpu/wiki) and the
[issue tracker](https://github.com/ComputationalRadiationPhysics/picongpu/issues)
to see if your question has been answered, already.
PIConGPU is a collaborative project.
We thus encourage users to engage in answering questions of other users and post solutions to problems to the list.
A problem you have encountered might be the future problem of another user.
In addition, please consider using the collaborative features of GitHub if you have questions or comments on code or documentation.
This will allow other users to see the piece of code or documentation you are referring to.
Main ressources are in our [online manual](https://picongpu.readthedocs.io), the [user section](https://github.com/ComputationalRadiationPhysics/picongpu/wiki) of our wiki, documentation files in [`.md` (Markdown)](http://commonmark.org/help/) and [`.rst` (reStructuredText)](http://www.sphinx-doc.org/en/stable/rest.html) format in this repository and a [getting started video](http://www.youtube.com/watch?v=7ybsD8G4Rsk).
Feel free to visit [picongpu.hzdr.de](http://picongpu.hzdr.de) to learn more about the PIC algorithm.
Software Upgrades
-----------------
PIConGPU ships new and frequent changes to the code in the development branch `dev`.
From time to time we publish a new release
of PIConGPU. Before you pull the changes in, please read our
[ChangeLog](CHANGELOG.md)!
You may have to update some of your simulation `.param` and `.cfg` files by
hand since PIConGPU is an active project and new features often require changes
in input files. Additionally, a full description of new features and fixed bugs
in comparison to the previous release is provided in that file.
In case you decide to use *new, potentially buggy and experimental* features
from our `dev` branch, be aware that you must participate or at least follow the development yourself.
Syntax changes and in-development bugs will *not* be announced outside of their according pull
requests and issues.
Before drafting a new release, we open a new `release-*` branch from `dev` with
the `*` being the version number of the upcoming release. This branch only
receives bug fixes (feature freeze) and users are welcome to try it out
(however, the change log and a detailed announcement might still be missing in
it).
Developers
----------
### How to participate
See [CONTRIBUTING.md](CONTRIBUTING.md)
If you like to jump in right away, see
[](https://github.com/ComputationalRadiationPhysics/picongpu/issues?q=is%3Aopen+is%3Aissue+label%3A%22good+first+issue%22)
Active Team
-----------
### Scientific Supervision
- Dr. Michael Bussmann
### Maintainers* and core developers
- Dr. Sergei Bastrakov*
- Finn-Ole Carstens
- Dr. Alexander Debus
- Dr. Marco Garten*
- Dr. Axel Huebl*
- Brian Edward Marre
- Pawel Ordyna
- Dr. Richard Pausch*
- Franz Poeschel
- Dr. Klaus Steiniger*
- Rene Widera*
### Former Members, Contributions and Thanks
The PIConGPU Team expresses its gratitude to:
Florian Berninger, Heiko Burau, Fabia Dietrich, Robert Dietrich, Carlchristian Eckert,
Simeon Ehrig, Wen Fu, Ph.D., Alexander Grund, Sebastian Hahn, Anton Helm, Wolfgang Hoehnig,
Dr.-Ing. Guido Juckeland, Jeffrey Kelling, Maximilian Knespel, Dr. Remi Lehe,
Felix Schmitt, Frank Winkler, Benjamin Schneider, Joseph Schuchart, Conrad Schumann,
Stefan Tietze, Marija Vranic, Ph.D., Benjamin Worpitz, Erik Zenker,
Sophie Rudat, Sebastian Starke, Alexander Matthes, Kseniia Bastrakova,
Bernhard Manfred Gruber, Jakob Trojok, Anton Lebedev, Nils Prinz,
Felix Meyer, Lennert Sprenger, Manhui Wang, Maxence Thevenet, Ilja Goethel,
Mika Soren Voß, Lei Bifeng, Andrei Berceanu, Felix Meyer,
Lennert Sprenger and Nico Wrobel.
Kudos to everyone, mentioned or unmentioned, who contributed further in any
way!
********************************************************************************
