starpu-contrib 1.3.3+dfsg-1 source package in Ubuntu

Changelog

starpu-contrib (1.3.3+dfsg-1) unstable; urgency=medium

  * New upstream release.
    - Rename libstarpu-1.3-1 to libstarpu-1.3-2 according to soname bump.
    - Rename libstarpufft-1.3-0 to libstarpufft-1.3-1 according to soname bump.
    - Rename libstarpumpi-1.3-0 to libstarpumpi-1.3-1 according to soname bump.
    - patches/man: Upstreamed.
    - patches/flops-nan: Upstreamed.
    - patches/flops-incoherent: Upstreamed.
    - patches/git-fxt: New patch, fix big traces.
  * watch: Generalize pattern.
  * rules: Do not make showcheck in nocheck profile.

 -- Samuel Thibault <email address hidden>  Sat, 07 Dec 2019 14:52:39 +0100

Upload details

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

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starpu-contrib_1.3.3+dfsg-1.dsc 3.0 KiB e0b1bbafdb3d2f13a2617c9b1ad2ca36c35fdcd680271a0206edca442cfa6f90
starpu-contrib_1.3.3+dfsg.orig.tar.gz 5.3 MiB 2281da24ee18a4613397b9bdab026a4c6d5bdd3687100e6722ec54e78dbb786a
starpu-contrib_1.3.3+dfsg-1.debian.tar.xz 12.7 KiB 0de965fc348d6411bc9c2c92e1e72b7e4e8118b2e8946b81a48bb936b65f4153

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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-1.3-2: 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-1.3-2-dbgsym: debug symbols for libstarpu-contrib-1.3-2
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-1.3-1: 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.
 This "contrib" version is built against CUDA.

libstarpu-contribfft-1.3-1-dbgsym: debug symbols for libstarpu-contribfft-1.3-1
libstarpu-contribmpi-1.3-1: 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 MPI extensions for StarPU.
 This "contrib" version is built against CUDA.

libstarpu-contribmpi-1.3-1-dbgsym: debug symbols for libstarpu-contribmpi-1.3-1
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