Ubuntu
pycuda package

pycuda 2016.1.2+git20161024-1build2 source package in Ubuntu

Changelog

pycuda (2016.1.2+git20161024-1build2) artful; urgency=medium

  * No-change rebuild to build to drop python3.5.

 -- Matthias Klose <email address hidden>  Sat, 05 Aug 2017 16:39:57 +0000

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Uploaded by:
Matthias Klose
Uploaded to:
Artful
Original maintainer:
Tomasz Rybak
Architectures:
amd64 all
Section:
python
Urgency:
Medium Urgency

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Builds

Artful: [FULLYBUILT] amd64

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File Size SHA-256 Checksum
pycuda_2016.1.2+git20161024.orig.tar.xz 175.7 KiB 13bb6eafd299582df98e67ea45efdad894df138a5fd493aa4e68af850082697e
pycuda_2016.1.2+git20161024-1build2.debian.tar.xz 9.4 KiB be6cab10f731bad9a2caff9de104d7667f453eee64bd6b91cbfc48b85d429a52
pycuda_2016.1.2+git20161024-1build2.dsc 2.6 KiB 3083923f066474873dff31638f9cd136712bf35d3e0c8c3e79c23aabab1dd421

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Binary packages built by this source

python-pycuda: No summary available for python-pycuda in ubuntu artful.

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python-pycuda-dbg: Python module to access Nvidia‘s CUDA API (debug extensions)

 PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python.
 Several wrappers of the CUDA API already exist–so what’s so special about
 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. PyCUDA knows about dependencies, too, so (for example) it won’t
    detach from a context before all memory allocated in it is also freed.
  * Convenience. Abstractions like pycuda.driver.SourceModule and
    pycuda.gpuarray.GPUArray make CUDA programming even more convenient than
    with Nvidia’s C-based runtime.
  * Completeness. PyCUDA puts the full power of CUDA’s driver API at your
    disposal, if you wish.
  * Automatic Error Checking. All CUDA errors are automatically translated
    into Python exceptions.
  * Speed. PyCUDA’s base layer is written in C++, so all the niceties
    above are virtually free.
  * Helpful Documentation.
 .
 This package contains debug extensions build for the Python debug interpreter.

python-pycuda-doc: No summary available for python-pycuda-doc in ubuntu artful.

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python3-pycuda: No summary available for python3-pycuda in ubuntu artful.

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python3-pycuda-dbg: No summary available for python3-pycuda-dbg in ubuntu artful.

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