petsc-pycuda | An attempt to bridge petsc4py and pycuda
kandi X-RAY | petsc-pycuda Summary
kandi X-RAY | petsc-pycuda Summary
petsc-pycuda is a Python library. petsc-pycuda has no bugs, it has no vulnerabilities, it has build file available, it has a Weak Copyleft License and it has low support. You can download it from GitHub.
An attempt to bridge petsc4py and PyCUDA. At the time of writing, there is no way to access the underlying device memory of a cusp vector from petsc4py. This project attempts to add this functionality, making the memory accessible as a PyCUDA GPUArray.
An attempt to bridge petsc4py and PyCUDA. At the time of writing, there is no way to access the underlying device memory of a cusp vector from petsc4py. This project attempts to add this functionality, making the memory accessible as a PyCUDA GPUArray.
Support
Quality
Security
License
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Support
petsc-pycuda has a low active ecosystem.
It has 2 star(s) with 2 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
petsc-pycuda has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of petsc-pycuda is current.
Quality
petsc-pycuda has no bugs reported.
Security
petsc-pycuda has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
petsc-pycuda is licensed under the LGPL-3.0 License. This license is Weak Copyleft.
Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.
Reuse
petsc-pycuda releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed petsc-pycuda and discovered the below as its top functions. This is intended to give you an instant insight into petsc-pycuda implemented functionality, and help decide if they suit your requirements.
- Locate the CUDA binary .
- Find a file in a given search path .
Get all kandi verified functions for this library.
petsc-pycuda Key Features
No Key Features are available at this moment for petsc-pycuda.
petsc-pycuda Examples and Code Snippets
No Code Snippets are available at this moment for petsc-pycuda.
Community Discussions
No Community Discussions are available at this moment for petsc-pycuda.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install petsc-pycuda
You can download it from GitHub.
You can use petsc-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.
You can use petsc-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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