Ubuntu
stdgpu-contrib package

stdgpu-contrib 1.3.0+git20220507.32e0517-2 source package in Ubuntu

Changelog

stdgpu-contrib (1.3.0+git20220507.32e0517-2) unstable; urgency=medium

  * Merge stdgpu-contrib repo into stdgpu repo
  * Refresh patches from stdgpu in main
  * Build-depend on nvidia-cuda-toolkit-gcc
  * Restrict architectures to those with CUDA

 -- Timo Röhling <email address hidden>  Thu, 13 Jul 2023 00:06:05 +0200

Upload details

Uploaded by:
Timo Röhling
Uploaded to:
Sid
Original maintainer:
Timo Röhling
Architectures:
amd64 arm64 ppc64el
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oracular release multiverse misc
Noble release multiverse misc
Mantic release multiverse misc

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File Size SHA-256 Checksum
stdgpu-contrib_1.3.0+git20220507.32e0517-2.dsc 2.4 KiB 128eca159d1350ddc691714d886078547e6341b6544cf7c84f85698de823ed5b
stdgpu-contrib_1.3.0+git20220507.32e0517.orig.tar.gz 262.6 KiB 6f1143acd8262bc9d31bf2e4689ab69b3c62283d6e9c8b2efb284c01ecca7ca1
stdgpu-contrib_1.3.0+git20220507.32e0517-2.debian.tar.xz 11.6 KiB 588a5185ebfb399995c87b33392d4e0b5a83450b64483121a616c0d52343251a

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Binary packages built by this source

libstdgpu-cuda-dev: Efficient STL-like Data Structures on the GPU (CUDA development headers)

 stdgpu is an open-source library providing several generic GPU data structures
 for fast and reliable data management. Multiple platforms such as CUDA,
 OpenMP, and HIP are supported allowing you to rapidly write highly complex
 agnostic and native algorithms that look like sequential CPU code but are
 executed in parallel on the GPU.
 .
 This package installs the development headers for the CUDA version.

libstdgpu-cuda0d: Efficient STL-like Data Structures on the GPU (CUDA backend)

 stdgpu is an open-source library providing several generic GPU data structures
 for fast and reliable data management. Multiple platforms such as CUDA,
 OpenMP, and HIP are supported allowing you to rapidly write highly complex
 agnostic and native algorithms that look like sequential CPU code but are
 executed in parallel on the GPU.
 .
 This package installs the shared library that runs on CUDA.

libstdgpu-cuda0d-dbgsym: debug symbols for libstdgpu-cuda0d