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
- 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 | Published | Component | Section | |
|---|---|---|---|---|
| Precise | updates | multiverse | libs |
Downloads
| 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
- diff from 0.9.1-3 to 0.9.1-3ubuntu0.1 (543 bytes)
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.
