How to Install and Uninstall starpu-contrib-examples Package on Ubuntu 21.10 (Impish Indri)

Last updated: April 29,2024

1. Install "starpu-contrib-examples" package

Learn how to install starpu-contrib-examples on Ubuntu 21.10 (Impish Indri)

$ sudo apt update $ sudo apt install starpu-contrib-examples

2. Uninstall "starpu-contrib-examples" package

In this section, we are going to explain the necessary steps to uninstall starpu-contrib-examples on Ubuntu 21.10 (Impish Indri):

$ sudo apt remove starpu-contrib-examples $ sudo apt autoclean && sudo apt autoremove

3. Information about the starpu-contrib-examples package on Ubuntu 21.10 (Impish Indri)

Package: starpu-contrib-examples
Architecture: amd64
Version: 1.3.7+dfsg-3
Multi-Arch: same
Priority: extra
Section: multiverse/science
Source: starpu-contrib
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Samuel Thibault
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 4786
Provides: starpu-any-examples
Depends: freeglut3 (>= 2.8.1), libblas3 | libblas.so.3, libc6 (>= 2.33), libcublas11, libcudart11.0, libgcc-s1 (>= 3.3.1), libgfortran5 (>= 10), libgl1, libglu1-mesa | libglu1, libhwloc15 (>= 2.4.1+dfsg), libnuma1 (>= 2.0.11), libopenmpi3 (>= 4.1.0), libstarpu-contrib-1.3-5 (>= 1.3.7+dfsg), libstarpu-contribmpi-1.3-3 (>= 1.3.7+dfsg), libstarpu-contribrm-1.3-1 (>= 1.3.7+dfsg), libstdc++6 (>= 5), libx11-6, ocl-icd-libopencl1 | libopencl1
Conflicts: starpu-examples
Filename: pool/multiverse/s/starpu-contrib/starpu-contrib-examples_1.3.7+dfsg-3_amd64.deb
Size: 414380
MD5sum: 656448d32ce9544b03c3bd2e2047908a
SHA1: e571869d1eb563271b5222ad444043eb8428bf2a
SHA256: ade5743dfd41a34d4f45041c304f743dbaeceb4b9e9a471e1767b57234c030ff
SHA512: 25da242b970494cfc7772daad39f16abfd19dcb6cdebe4676d057987688870bc0d807df93e6bbc3da042500b83f8b85573af518994ed3df73ed6bfba509b3c99
Homepage: http://starpu.gforge.inria.fr/
Description-en: Task scheduler for heterogeneous multicore machines - exs
StarPU is a runtime system that offers support for heterogeneous
multicore machines. While many efforts are devoted to design efficient
computation kernels for those architectures (e.g. to implement BLAS
kernels on GPUs or on Cell's SPUs), StarPU not only takes care of
offloading such kernels (and implementing data coherency across
the machine), but it also makes sure the kernels are executed as
efficiently as possible.
.
This package contains application examples.
This "contrib" version is built against CUDA.
Description-md5: 11b8c6811b08d3b761c4e2f5fd0e0890