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Format: 3.0 (quilt)
Source: stdgpu-contrib
Binary: libstdgpu-cuda0d, libstdgpu-cuda-dev
Architecture: any
Version: 1.3.0+git20220507.32e0517-1
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-contrib
Vcs-Git: https://salsa.debian.org/debian/stdgpu-contrib.git
Build-Depends: debhelper-compat (= 13), cmake, libthrust-dev, nvidia-cuda-toolkit
Package-List:
 libstdgpu-cuda-dev deb contrib/libdevel optional arch=any
 libstdgpu-cuda0d deb contrib/libs optional arch=any
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