How to Install and Uninstall libstdgpu-cuda-dev Package on Kali Linux
Last updated: November 25,2024
1. Install "libstdgpu-cuda-dev" package
Please follow the steps below to install libstdgpu-cuda-dev on Kali Linux
$
sudo apt update
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$
sudo apt install
libstdgpu-cuda-dev
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2. Uninstall "libstdgpu-cuda-dev" package
Please follow the steps below to uninstall libstdgpu-cuda-dev on Kali Linux:
$
sudo apt remove
libstdgpu-cuda-dev
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the libstdgpu-cuda-dev package on Kali Linux
Package: libstdgpu-cuda-dev
Source: stdgpu-contrib
Version: 1.3.0+git20220507.32e0517-2
Installed-Size: 575
Maintainer: Timo Röhling
Architecture: amd64
Provides: libstdgpu-dev
Depends: libstdgpu-cuda0d (= 1.3.0+git20220507.32e0517-2), libthrust-dev
Conflicts: libstdgpu-dev
Size: 58872
SHA256: bc6dde02e7a43a4bcac145703fbdf48a73d9cba90b3911f69bda41182522d23e
SHA1: fb9354c6362f4d2cdb5b70430dd8ac5f0ef7c1c3
MD5sum: df114f7bdf266e0a088d89eadb500b1e
Description: 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.
Description-md5:
Multi-Arch: same
Homepage: https://github.com/stotko/stdgpu
Section: contrib/libdevel
Priority: optional
Filename: pool/contrib/s/stdgpu-contrib/libstdgpu-cuda-dev_1.3.0+git20220507.32e0517-2_amd64.deb
Source: stdgpu-contrib
Version: 1.3.0+git20220507.32e0517-2
Installed-Size: 575
Maintainer: Timo Röhling
Architecture: amd64
Provides: libstdgpu-dev
Depends: libstdgpu-cuda0d (= 1.3.0+git20220507.32e0517-2), libthrust-dev
Conflicts: libstdgpu-dev
Size: 58872
SHA256: bc6dde02e7a43a4bcac145703fbdf48a73d9cba90b3911f69bda41182522d23e
SHA1: fb9354c6362f4d2cdb5b70430dd8ac5f0ef7c1c3
MD5sum: df114f7bdf266e0a088d89eadb500b1e
Description: 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.
Description-md5:
Multi-Arch: same
Homepage: https://github.com/stotko/stdgpu
Section: contrib/libdevel
Priority: optional
Filename: pool/contrib/s/stdgpu-contrib/libstdgpu-cuda-dev_1.3.0+git20220507.32e0517-2_amd64.deb