starpu 1.2.3+dfsg-4 source package in Ubuntu
Changelog
starpu (1.2.3+dfsg-4) unstable; urgency=medium
* control: Make -contrib packages provide -any virtual packages, so that
packages in main can depend on main | -any and thus get apt avoid
installing contrib and non-free packages unexpectedly (Closes: Bug#884309)
* control: Deactivate guile dependency, which was only used for plugin tests
(Closes: Bug#885230, Bug#885234)
-- Samuel Thibault <email address hidden> Fri, 05 Jan 2018 19:57:08 +0100
Upload details
- Uploaded by:
- Samuel Thibault
- Uploaded to:
- Sid
- Original maintainer:
- Samuel Thibault
- Architectures:
- any
- Section:
- libs
- Urgency:
- Medium Urgency
See full publishing history Publishing
| Series | Published | Component | Section | |
|---|---|---|---|---|
| Bionic | release | universe | libs |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| starpu_1.2.3+dfsg-4.dsc | 2.8 KiB | 922306b63d30097d05cf8f7aa79506cccd473d8b21af08e6237914fea2bcf6d8 |
| starpu_1.2.3+dfsg.orig.tar.gz | 4.0 MiB | c968c215f4652fe2c91bb380f3d2f517263678419b6d42704a530da2bc4dfe2a |
| starpu_1.2.3+dfsg-4.debian.tar.xz | 11.5 KiB | 2ac280e5bf6617962b9291b79976c9bb79559584f3b1379bafd08ac5281f06ff |
Available diffs
- diff from 1.2.3+dfsg-3 to 1.2.3+dfsg-4 (2.0 KiB)
No changes file available.
Binary packages built by this source
- libsocl-1.2-0: 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.
- libsocl-1.2-0-dbgsym: debug symbols for libsocl-1.2-0
- libstarpu-1.2-3: 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-1.2-3-dbgsym: No summary available for libstarpu-1.2-3-dbgsym in ubuntu cosmic.
No description available for libstarpu-
1.2-3-dbgsym in ubuntu cosmic.
- libstarpu-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.
- libstarpufft-1.2-0: 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 a hybrid CPU+GPU FFT library.
- libstarpufft-1.2-0-dbgsym: No summary available for libstarpufft-1.2-0-dbgsym in ubuntu cosmic.
No description available for libstarpufft-
1.2-0-dbgsym in ubuntu cosmic.
- libstarpumpi-1.2-2: 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 MPI extensions for StarPU.
- libstarpumpi-1.2-2-dbgsym: debug symbols for libstarpumpi-1.2-2
- starpu-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-examples-dbgsym: debug symbols for starpu-examples
- starpu-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.
- starpu-tools-dbgsym: debug symbols for starpu-tools
- starpu-top: Task scheduler for heterogeneous multicore machines - top
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 graphical top tool.
