starpu-contrib 0.9.1-3ubuntu0.1 source package in Ubuntu

Changelog

starpu-contrib (0.9.1-3ubuntu0.1) precise-proposed; urgency=low

  * debian/control: build-depends on nvidia-current, nvidia-current-updates,
    nvidia-experimental-* instead of libcuda1. (LP: #950963)
 -- Graham Inggs <email address hidden>   Thu, 21 Feb 2013 01:50:54 +0200

Upload details

Uploaded by:
Graham Inggs on 2013-03-02
Sponsored by:
Stefano Rivera
Uploaded to:
Precise
Original maintainer:
Samuel Thibault
Component:
multiverse
Architectures:
amd64 i386
Section:
libs
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Precise updates on 2013-04-11 multiverse libs

Builds

Precise: [FULLYBUILT] amd64 [FULLYBUILT] i386

Downloads

File Size MD5 Checksum
starpu-contrib_0.9.1.orig.tar.gz 1.5 MiB a7c63fb2d8144d70936ee8e039600a44
starpu-contrib_0.9.1-3ubuntu0.1.debian.tar.gz 5.5 KiB 6bd487067e82a9a6b53a493f8cbe0fd6
starpu-contrib_0.9.1-3ubuntu0.1.dsc 2.6 KiB e79c0eb08d711eecd86fabbf5ae18430

Available diffs

View changes file

Binary packages built by this source

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-contrib0: 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-contribfft0: 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-contribmpi0: 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.

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-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.