starpu-contrib 1.1.5-0ubuntu4.1 source package in Ubuntu

Changelog

starpu-contrib (1.1.5-0ubuntu4.1) xenial-proposed; urgency=medium

  * SRU: No-change rebuild for GCC 5.4. LP: #1599860.

starpu-contrib (1.1.5-0ubuntu4) yakkety; urgency=medium

  * No-change rebuild for GCC 5.4.

starpu-contrib (1.1.5-0ubuntu3) yakkety; urgency=medium

  * No-change rebuild against glpk 4.60

starpu-contrib (1.1.5-0ubuntu2) yakkety; urgency=medium

  * No-change rebuild for glpk soname change.

 -- Matthias Klose <email address hidden>  Thu, 07 Jul 2016 15:11:39 +0200

Upload details

Uploaded by:
Matthias Klose
Uploaded to:
Xenial
Original maintainer:
Ubuntu Developers
Architectures:
any
Section:
libs
Urgency:
Medium Urgency

See full publishing history Publishing

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Xenial updates multiverse libs

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starpu-contrib_1.1.5.orig.tar.gz 5.0 MiB 3b93d3d54b2bd4c96d49ca4a46f6d4ed077c7d7602baa2044152ef55ad5d9b15
starpu-contrib_1.1.5-0ubuntu4.1.debian.tar.xz 9.4 KiB 256aeb50a04540a218dfc7df9c00acfa5fec1aa556e3d44505782f3c5ba4d598
starpu-contrib_1.1.5-0ubuntu4.1.dsc 2.9 KiB e1708b2da03d1b4b3f589af4cad7452cb52c1cf65d0b374734f89dbd1b1acb01

Available diffs

View changes file

Binary packages built by this source

libsocl-contrib-1.1-1: 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.

libsocl-contrib-1.1-1-dbgsym: debug symbols for package libsocl-contrib-1.1-1

 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.

libstarpu-contrib-1.1-9: 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

libstarpu-contrib-1.1-9-dbgsym: debug symbols for package libstarpu-contrib-1.1-9

 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

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.

libstarpu-contribfft-1.1-1: 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.

libstarpu-contribfft-1.1-1-dbgsym: debug symbols for package libstarpu-contribfft-1.1-1

 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.

libstarpu-contribmpi-1.1-3: 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.

libstarpu-contribmpi-1.1-3-dbgsym: debug symbols for package libstarpu-contribmpi-1.1-3

 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.

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.

starpu-contrib-examples-dbgsym: debug symbols for package starpu-contrib-examples

 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.

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.

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