pyopencl_samples | OpenCL samples in Python
kandi X-RAY | pyopencl_samples Summary
kandi X-RAY | pyopencl_samples Summary
pyopencl_samples is a Python library. pyopencl_samples has no bugs, it has no vulnerabilities and it has low support. However pyopencl_samples build file is not available. You can download it from GitHub.
Print "Hello World!" in CL language. Examine whether the device support double precision. Synchronize work items in a work group. Pass kernel arguments with different address spaces. Do a merge sort and print it's progress. Compare merge sort by CPU, merge sort by GPU and Python built-in sorted(). Convert a PNG to gray level.
Print "Hello World!" in CL language. Examine whether the device support double precision. Synchronize work items in a work group. Pass kernel arguments with different address spaces. Do a merge sort and print it's progress. Compare merge sort by CPU, merge sort by GPU and Python built-in sorted(). Convert a PNG to gray level.
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Support
pyopencl_samples has a low active ecosystem.
It has 2 star(s) with 1 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 6 open issues and 4 have been closed. On average issues are closed in 2 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of pyopencl_samples is current.
Quality
pyopencl_samples has no bugs reported.
Security
pyopencl_samples has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
pyopencl_samples 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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pyopencl_samples releases are not available. You will need to build from source code and install.
pyopencl_samples has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed pyopencl_samples and discovered the below as its top functions. This is intended to give you an instant insight into pyopencl_samples implemented functionality, and help decide if they suit your requirements.
- Merge sorted SBS files .
- Merge data in binary mode .
- Test format .
- Test the barrier .
- Test address space .
- CLI code
- Initialize double precision .
- Test group .
- Dump data in a step .
- Benchmark the data .
Get all kandi verified functions for this library.
pyopencl_samples Key Features
No Key Features are available at this moment for pyopencl_samples.
pyopencl_samples Examples and Code Snippets
No Code Snippets are available at this moment for pyopencl_samples.
Community Discussions
No Community Discussions are available at this moment for pyopencl_samples.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pyopencl_samples
You can download it from GitHub.
You can use pyopencl_samples 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 pyopencl_samples 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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