minimal_particle_pyCUDA | minimal implementation example of pair force simulation

by shaltiel Python Version: Current License: No License

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kandi X-RAY | minimal_particle_pyCUDA Summary

minimal_particle_pyCUDA is a Python library. minimal_particle_pyCUDA has no bugs, it has no vulnerabilities and it has low support. However minimal_particle_pyCUDA build file is not available. You can download it from GitHub.

A minimal implementation example of pair force simulation in pycuda. Calculations are all in GPU and within python. Helpful as a starting point for 1GPU fluid prototyping of new models in python environment, but with high performance fluid simulation (limited to 1GPU).

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minimal_particle_pyCUDA has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

minimal_particle_pyCUDA has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of minimal_particle_pyCUDA is current.

Quality

minimal_particle_pyCUDA has no bugs reported.

Security

minimal_particle_pyCUDA has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

minimal_particle_pyCUDA does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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minimal_particle_pyCUDA releases are not available. You will need to build from source code and install.

minimal_particle_pyCUDA has no build file. You will be need to create the build yourself to build the component from source.

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minimal_particle_pyCUDA Key Features

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minimal_particle_pyCUDA Examples and Code Snippets

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Community Discussions

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Vulnerabilities

No vulnerabilities reported

Install minimal_particle_pyCUDA

You can download it from GitHub.
You can use minimal_particle_pyCUDA like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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