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Format: 3.0 (quilt)
Source: stdgpu-contrib
Binary: libstdgpu-cuda0d, libstdgpu-cuda-dev
Architecture: amd64 arm64 ppc64el
Version: 1.3.0+git20220507.32e0517-2
Maintainer: Timo Röhling <roehling@debian.org>
Homepage: https://github.com/stotko/stdgpu
Description: Efficient STL-like Data Structures on the GPU
 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.
Standards-Version: 4.6.2
Vcs-Browser: https://salsa.debian.org/debian/stdgpu
Vcs-Git: https://salsa.debian.org/debian/stdgpu.git -b master-contrib
Build-Depends: debhelper-compat (= 13), cmake, libthrust-dev, nvidia-cuda-toolkit-gcc
Package-List:
 libstdgpu-cuda-dev deb contrib/libdevel optional arch=amd64,arm64,ppc64el
 libstdgpu-cuda0d deb contrib/libs optional arch=amd64,arm64,ppc64el
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