Python wrapper for OpenCL
Project description
- PyOpenCL lets you access GPUs and other massively parallel compute
devices from Python. It tries to offer computing goodness in the spirit of its sister project PyCUDA:
Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code.
Completeness. PyOpenCL puts the full power of OpenCL’s API at your disposal, if you wish. Every obscure get_info() query and all CL calls are accessible.
Automatic Error Checking. All CL errors are automatically translated into Python exceptions.
Speed. PyOpenCL’s base layer is written in C++, so all the niceties above are virtually free.
Helpful and complete Documentation as well as a Wiki.
Liberal license. PyOpenCL is open-source under the MIT license and free for commercial, academic, and private use.
Broad support. PyOpenCL was tested and works with both AMD’s and Nvidia’s CL implementations.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file pyopencl-0.90.3.tar.gz.
File metadata
- Download URL: pyopencl-0.90.3.tar.gz
- Upload date:
- Size: 35.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | cdd2ee21651f78fc65138d36f98af276039d0f26aa65d52bb44269e2538ac74f |
|
| MD5 | 36ee54cfe2123a3e6cf352fa579f00d3 |
|
| BLAKE2b-256 | 4bf8032087e4cebbf5b6fa36a047bfc343eef0515604f07bc7552ebaa27d76dd |
