How to Install and Uninstall starpu-contrib-examples Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 09,2024

1. Install "starpu-contrib-examples" package

Please follow the guidelines below to install starpu-contrib-examples on Ubuntu 20.10 (Groovy Gorilla)

$ 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 20.10 (Groovy Gorilla):

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

3. Information about the starpu-contrib-examples package on Ubuntu 20.10 (Groovy Gorilla)

Package: starpu-contrib-examples
Architecture: amd64
Version: 1.3.4+dfsg-3build2
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: 2788
Provides: starpu-any-examples
Depends: freeglut3 (>= 2.8.1), libblas3 | libblas.so.3, libc6 (>= 2.14), libcublas11, libcudart11.0, libgcc-s1 (>= 3.0), libgfortran5 (>= 10), libgl1, libglu1-mesa | libglu1, libopenmpi3 (>= 4.0.3), libstarpu-contrib-1.3-3, libstarpu-contribmpi-1.3-2, libstdc++6 (>= 5), libx11-6, ocl-icd-libopencl1 | libopencl1
Conflicts: starpu-examples
Filename: pool/multiverse/s/starpu-contrib/starpu-contrib-examples_1.3.4+dfsg-3build2_amd64.deb
Size: 321548
MD5sum: 6f9f12dcddf997d5b22766b53f6b86cd
SHA1: 058d516d88ebd26515d947ca573f4602d420b0e2
SHA256: d76faedacc7c3f90c993134411ba6b11078007ded960e4933ac1ea1372d7dc71
SHA512: 5a14bf9cdecea13eb90eaea24db787bc6af1bed53836791ac2a84876ae626f676333057afdc6bdb2798ac90a3b90973365c7d181e5d1bf1b9ca12b99edeb13a8
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