How to Install and Uninstall starpu-contrib-examples Package on Kali Linux

Last updated: May 09,2024

1. Install "starpu-contrib-examples" package

Please follow the guidelines below to install starpu-contrib-examples on Kali Linux

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

2. Uninstall "starpu-contrib-examples" package

Please follow the steps below to uninstall starpu-contrib-examples on Kali Linux:

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

3. Information about the starpu-contrib-examples package on Kali Linux

Package: starpu-contrib-examples
Source: starpu-contrib
Version: 1.4.3+dfsg-2
Installed-Size: 6843
Maintainer: Samuel Thibault
Architecture: amd64
Replaces: libstarpu-1.4-1, libstarpu-1.4-2, libstarpu-contrib-1.4-1, libstarpu-contrib-1.4-2
Provides: starpu-any-examples
Depends: libblas3 | libblas.so.3, libc6 (>= 2.34), libcublas12, libcudart12, libcusolver11, libgcc-s1 (>= 3.4), libgfortran5 (>= 10), libgl1, libglu1-mesa | libglu1, libglut3.12 (>= 3.4.0), libgomp1 (>= 4.9), libhwloc15 (>= 2.10.0), liblapack3 | liblapack.so.3, libnuma1 (>= 2.0.11), libomp5-16 (>= 0.20130412), libopenmpi3 (>= 4.1.6), libstarpu-contrib-1.4-4 (>= 1.4.3+dfsg), libstarpu-contrib-openmp-llvm-1.4-1 (>= 1.4.3+dfsg), libstarpu-contribmpi-1.4-3 (>= 1.4.3+dfsg), libstarpu-contribrm-1.4-1 (>= 1.4.3+dfsg), libstdc++6 (>= 5), libx11-6, ocl-icd-libopencl1 | libopencl1, ocl-icd-libopencl1 (>= 1.0) | libopencl-1.2-1
Conflicts: starpu-examples
Breaks: libstarpu-1.4-1, libstarpu-1.4-2, libstarpu-contrib-1.4-1, libstarpu-contrib-1.4-2
Size: 662432
SHA256: cfabe3682647663b5a9fa37531852e5ee4a233989abd10fb933a8d8bed390f3e
SHA1: 10cac5c2cdc94fa2aa33f379e585f2f51a99cb00
MD5sum: ad78d8a667ed8a54a075cb97ba158455
Description: 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:
Multi-Arch: same
Homepage: https://starpu.gitlabpages.inria.fr/
Section: contrib/science
Priority: optional
Filename: pool/contrib/s/starpu-contrib/starpu-contrib-examples_1.4.3+dfsg-2_amd64.deb