fbpic | Spectral , quasi-3D Particle-In-Cell code , for CPU and GPU
kandi X-RAY | fbpic Summary
kandi X-RAY | fbpic Summary
fbpic is a Python library typically used in Simulation applications. fbpic has no vulnerabilities, it has build file available and it has low support. However fbpic has 8 bugs and it has a Non-SPDX License. You can install using 'pip install fbpic' or download it from GitHub, PyPI.
FBPIC is a Particle-In-Cell (PIC) code for relativistic plasma physics. It is especially well-suited for physical simulations of laser-wakefield acceleration and plasma-wakefield acceleration, with close-to-cylindrical symmetry.
FBPIC is a Particle-In-Cell (PIC) code for relativistic plasma physics. It is especially well-suited for physical simulations of laser-wakefield acceleration and plasma-wakefield acceleration, with close-to-cylindrical symmetry.
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fbpic has a low active ecosystem.
It has 150 star(s) with 62 fork(s). There are 22 watchers for this library.
There were 1 major release(s) in the last 12 months.
There are 55 open issues and 188 have been closed. On average issues are closed in 35 days. There are 12 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of fbpic is 0.26.0
Quality
fbpic has 8 bugs (6 blocker, 0 critical, 2 major, 0 minor) and 1609 code smells.
Security
fbpic has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
fbpic code analysis shows 0 unresolved vulnerabilities.
There are 6 security hotspots that need review.
License
fbpic has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
Reuse
fbpic releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
fbpic saves you 6791 person hours of effort in developing the same functionality from scratch.
It has 14086 lines of code, 551 functions and 129 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed fbpic and discovered the below as its top functions. This is intended to give you an instant insight into fbpic implemented functionality, and help decide if they suit your requirements.
- Packs a CUDA grid using CUDA .
- Create a function to deposit a CUDA grid .
- Adds the rho field to the CUDA grid .
- Deprecated function to deposit a J - Ray curve .
- Move the simulation .
- Handle a vector buffer .
- Deprecated method to deposit rho .
- Deprecated method to deposit a single - mode field .
- Deprecated method to deposit the Jacobian field in parallel .
- Gather field from the GPU .
Get all kandi verified functions for this library.
fbpic Key Features
No Key Features are available at this moment for fbpic.
fbpic Examples and Code Snippets
No Code Snippets are available at this moment for fbpic.
Community Discussions
Trending Discussions on fbpic
QUESTION
Angular CLI Services stored String variable always return to default value
Asked 2018-Mar-13 at 13:23
I'm new to angular CLI. this happened when I tried to pass a string value to services and later tried to retrieve it in another component
select.ts
...ANSWER
Answered 2018-Mar-13 at 09:45In Angular, services are singletons. That means there is only one instance of them.
What you, is creating a second :
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install fbpic
The installation instructions below are for a local computer. For more details, or for instructions specific to a particular HPC cluster, see the documentation.
Install the dependencies of FBPIC. This can be done in two lines:
Download and install FBPIC:
Optional: in order to run on GPU, install the additional package cudatoolkit and cupy -- e.g. using CUDA version 10.0.
Optional: in order to run on a CPU which is not an Intel model, you need to install pyfftw, in order to replace the MKL FFT:
Install the dependencies of FBPIC. This can be done in two lines:
Download and install FBPIC:
Optional: in order to run on GPU, install the additional package cudatoolkit and cupy -- e.g. using CUDA version 10.0.
Optional: in order to run on a CPU which is not an Intel model, you need to install pyfftw, in order to replace the MKL FFT:
Support
We welcome contributions to the code! Please read this page for guidelines on how to contribute.
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