starpu-contrib 1.3.2+dfsg-2build1 source package in Ubuntu

Changelog

starpu-contrib (1.3.2+dfsg-2build1) focal; urgency=medium

  * Rebuild against new lhwloc 15.

 -- Gianfranco Costamagna <email address hidden>  Wed, 04 Dec 2019 12:07:44 +0100

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Uploaded by:
Gianfranco Costamagna
Uploaded to:
Focal
Original maintainer:
Samuel Thibault
Architectures:
any
Section:
libs
Urgency:
Medium Urgency

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File Size SHA-256 Checksum
starpu-contrib_1.3.2+dfsg.orig.tar.gz 5.4 MiB 120fa6423f76657b176abac3861fe546885091dd1b43dff027d4aedc1bec9c41
starpu-contrib_1.3.2+dfsg-2build1.debian.tar.xz 11.7 KiB 9aad1f2ca972da9e2bb483bff19635cc6f7d21e588083b0cbf3f1d765f04e772
starpu-contrib_1.3.2+dfsg-2build1.dsc 3.0 KiB 3e37ac17686fe3a596bb8e7e0aae3bfd1a85730cee5dc9b88248a20bd2e7083e

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Binary packages built by this source

libsocl-contrib-1.3-0: 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-1.3-0-dbgsym: debug symbols for libsocl-contrib-1.3-0
libstarpu-contrib-1.3-1: No summary available for libstarpu-contrib-1.3-1 in ubuntu focal.

No description available for libstarpu-contrib-1.3-1 in ubuntu focal.

libstarpu-contrib-1.3-1-dbgsym: No summary available for libstarpu-contrib-1.3-1-dbgsym in ubuntu focal.

No description available for libstarpu-contrib-1.3-1-dbgsym in ubuntu focal.

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-contribfft-1.3-0: No summary available for libstarpu-contribfft-1.3-0 in ubuntu focal.

No description available for libstarpu-contribfft-1.3-0 in ubuntu focal.

libstarpu-contribfft-1.3-0-dbgsym: No summary available for libstarpu-contribfft-1.3-0-dbgsym in ubuntu focal.

No description available for libstarpu-contribfft-1.3-0-dbgsym in ubuntu focal.

libstarpu-contribmpi-1.3-0: No summary available for libstarpu-contribmpi-1.3-0 in ubuntu focal.

No description available for libstarpu-contribmpi-1.3-0 in ubuntu focal.

libstarpu-contribmpi-1.3-0-dbgsym: No summary available for libstarpu-contribmpi-1.3-0-dbgsym in ubuntu focal.

No description available for libstarpu-contribmpi-1.3-0-dbgsym in ubuntu focal.

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