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
Upload details
- Uploaded by:
- Debian Deep Learning Team
- Uploaded to:
- Sid
- Original maintainer:
- Debian Deep Learning Team
- Architectures:
- any
- Section:
- misc
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Mantic | release | multiverse | misc |
Downloads
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 |
No changes file available.
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.