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
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

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File Size SHA-256 Checksum
starpu-contrib_0.9.1.orig.tar.gz 1.5 MiB dceb7f9a415f7e9db818b09c5db32a0bbd3709f4574b748a7eae94d071205c1e
starpu-contrib_0.9.1-3ubuntu0.1.debian.tar.gz 5.5 KiB 500d29c4d4032738e90ea27d540d96fdd1f8953b027941ca889f8b1ea5e26c31
starpu-contrib_0.9.1-3ubuntu0.1.dsc 2.6 KiB 56a0e0ea671156ec60fb36ec9efa2e11ed24c0751d593eae318dc6ff739e52e7

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.