gloo-cuda 0.0~git20230117.1090929-2 source package in Ubuntu

Changelog

gloo-cuda (0.0~git20230117.1090929-2) unstable; urgency=medium

  * Rebuild src:gloo with CUDA (non-free) enabled.
    Due to non-free B-D, section is changed from main to contrib.
  * Automatically generated by src:gloo :: debian/cudabuild.sh
    Please always merge the changes to the cuda variant back to
    src:gloo, thanks.

 -- Mo Zhou <email address hidden>  Sat, 19 Aug 2023 23:16:27 -0400

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Uploaded by:
Debian Deep Learning Team
Uploaded to:
Sid
Original maintainer:
Debian Deep Learning Team
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
gloo-cuda_0.0~git20230117.1090929-2.dsc 2.3 KiB dda34b55a155c05bad8b1996755fb80f0e8c2feaf6cb04c82c2664d133d23215
gloo-cuda_0.0~git20230117.1090929.orig.tar.xz 177.4 KiB 14a13dceaa15428df98d04294dff8c6b2cce7c02a852962bb2feb3b1f2674b02
gloo-cuda_0.0~git20230117.1090929-2.debian.tar.xz 4.9 KiB a9d86c563c3a0efe5f567a4c96a7907f9a60ea78474b76a9645c86d0c9af704a

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Binary packages built by this source

libgloo-cuda-0: Collective communications library (shared object)

 Gloo is a collective communications library. It comes with a number of
 collective algorithms useful for machine learning applications. These
 include a barrier, broadcast, and allreduce.
 .
 Transport of data between participating machines is abstracted so that
 IP can be used at all times, or InifiniBand (or RoCE) when available.
 In the latter case, if the InfiniBand transport is used, GPUDirect can
 be used to accelerate cross machine GPU-to-GPU memory transfers.
 .
 Where applicable, algorithms have an implementation that works with system
 memory buffers, and one that works with NVIDIA GPU memory buffers. In the
 latter case, it is not necessary to copy memory between host and device;
 this is taken care of by the algorithm implementations.
 .
 This package ships the shared object for Gloo.

libgloo-cuda-0-dbgsym: debug symbols for libgloo-cuda-0
libgloo-cuda-dev: Collective communications library (development files)

 Gloo is a collective communications library. It comes with a number of
 collective algorithms useful for machine learning applications. These
 include a barrier, broadcast, and allreduce.
 .
 Transport of data between participating machines is abstracted so that
 IP can be used at all times, or InifiniBand (or RoCE) when available.
 In the latter case, if the InfiniBand transport is used, GPUDirect can
 be used to accelerate cross machine GPU-to-GPU memory transfers.
 .
 Where applicable, algorithms have an implementation that works with system
 memory buffers, and one that works with NVIDIA GPU memory buffers. In the
 latter case, it is not necessary to copy memory between host and device;
 this is taken care of by the algorithm implementations.
 .
 This package ships the development files.