dsc_fields:
Architecture: amd64 arm64 ppc64el
Binary: libstdgpu-cuda0d, libstdgpu-cuda-dev
Build-Depends: debhelper-compat (= 13), cmake, libthrust-dev, nvidia-cuda-toolkit-gcc
Checksums-Sha1:
- name: stdgpu-contrib_1.3.0+git20220507.32e0517.orig.tar.gz
sha1: 8eedb881ae5027a986f4a78c327065d85ccfeff8
size: '268925'
- name: stdgpu-contrib_1.3.0+git20220507.32e0517-2.debian.tar.xz
sha1: cd6f0ee2a58e19b7c263ceb0d040c2e4d2037116
size: '11900'
Checksums-Sha256:
- name: stdgpu-contrib_1.3.0+git20220507.32e0517.orig.tar.gz
sha256: 6f1143acd8262bc9d31bf2e4689ab69b3c62283d6e9c8b2efb284c01ecca7ca1
size: '268925'
- name: stdgpu-contrib_1.3.0+git20220507.32e0517-2.debian.tar.xz
sha256: 588a5185ebfb399995c87b33392d4e0b5a83450b64483121a616c0d52343251a
size: '11900'
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.
Files:
- md5sum: 60911da03d4034f5f9aa5dc67006c603
name: stdgpu-contrib_1.3.0+git20220507.32e0517.orig.tar.gz
size: '268925'
- md5sum: a7f3bdee812fe5bd2427a14127c01fa1
name: stdgpu-contrib_1.3.0+git20220507.32e0517-2.debian.tar.xz
size: '11900'
Format: 3.0 (quilt)
Homepage: https://github.com/stotko/stdgpu
Maintainer: "Timo R\xF6hling <roehling@debian.org>"
Package-List: |2-
libstdgpu-cuda-dev deb contrib/libdevel optional arch=amd64,arm64,ppc64el
libstdgpu-cuda0d deb contrib/libs optional arch=amd64,arm64,ppc64el
Source: stdgpu-contrib
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
Version: 1.3.0+git20220507.32e0517-2
name: stdgpu-contrib
type: dpkg
version: 1.3.0+git20220507.32e0517-2