starpu-contrib 1.4.3+dfsg-3 source package in Ubuntu

Changelog

starpu-contrib (1.4.3+dfsg-3) unstable; urgency=medium

  * patches/avoid-version: Avoid including version numbers for loadable
    plugins. Avoids useless shlibs file.
  * Rename contrib libraries for 64-bit time_t transition.
  * rules: Avoid ignoring failures from 'chmod'.

 -- Samuel Thibault <email address hidden>  Fri, 01 Mar 2024 01:31:03 +0100

Upload details

Uploaded by:
Samuel Thibault
Uploaded to:
Sid
Original maintainer:
Samuel Thibault
Architectures:
any
Section:
libs
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section

Downloads

File Size SHA-256 Checksum
starpu-contrib_1.4.3+dfsg-3.dsc 3.4 KiB ffc28d90ce160725052d9c688aabb46fa0ea72d444f5aa4e51a519dacf6e7d39
starpu-contrib_1.4.3+dfsg.orig.tar.gz 7.5 MiB 63642e54bd52a46add45eea46eb2e5196658e9d8c5b3a73e619b539dab110107
starpu-contrib_1.4.3+dfsg-3.debian.tar.xz 15.4 KiB bb5473f4dc44cb6602630b3c6c77d1cb7dcbd8495052d808803a92f92d766ad9

Available diffs

No changes file available.

Binary packages built by this source

libsocl-contrib-1.4-1t64: Task scheduler for heterogeneous multicore machines

 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 an OpenCL-compatible library interface to StarPU.
 This "contrib" version is built against CUDA.

libsocl-contrib-1.4-1t64-dbgsym: debug symbols for libsocl-contrib-1.4-1t64
libstarpu-contrib-1.4-4t64: Task scheduler for heterogeneous multicore machines

 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 the main StarPU library
 This "contrib" version is built against CUDA.

libstarpu-contrib-1.4-4t64-dbgsym: debug symbols for libstarpu-contrib-1.4-4t64
libstarpu-contrib-dev: Task scheduler for heterogeneous multicore machines - dev

 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 development headers and libraries.
 This "contrib" version is built against CUDA.

libstarpu-contrib-openmp-llvm-1.4-1t64: Task scheduler for heterogeneous multicore machines

 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 the runtime support for LLVM OpenMP.
 This "contrib" version is built against CUDA.

libstarpu-contrib-openmp-llvm-1.4-1t64-dbgsym: debug symbols for libstarpu-contrib-openmp-llvm-1.4-1t64
libstarpu-contribfft-1.4-1t64: Task scheduler for heterogeneous multicore machines

 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 a hybrid CPU+GPU FFT library.
 This "contrib" version is built against CUDA.

libstarpu-contribfft-1.4-1t64-dbgsym: debug symbols for libstarpu-contribfft-1.4-1t64
libstarpu-contribmpi-1.4-3t64: Task scheduler for heterogeneous multicore machines

 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 MPI extensions for StarPU.
 This "contrib" version is built against CUDA.

libstarpu-contribmpi-1.4-3t64-dbgsym: debug symbols for libstarpu-contribmpi-1.4-3t64
libstarpu-contribrm-1.4-1t64: Task scheduler for heterogeneous multicore machines

 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 the resource management library.
 This "contrib" version is built against CUDA.

libstarpu-contribrm-1.4-1t64-dbgsym: debug symbols for libstarpu-contribrm-1.4-1t64
starpu-contrib-examples: 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.

starpu-contrib-examples-dbgsym: debug symbols for starpu-contrib-examples
starpu-contrib-tools: Task scheduler for heterogeneous multicore machines - tools

 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 StarPU tools.
 This "contrib" version is built against CUDA.

starpu-contrib-tools-dbgsym: debug symbols for starpu-contrib-tools