starpu 1.4.3+dfsg-4 source package in Ubuntu
Changelog
starpu (1.4.3+dfsg-4) unstable; urgency=medium
* control: Upgrade conflicts between starpu and starpu-contrib to 64-bit
time_t names. Closes: #1065258
-- Samuel Thibault <email address hidden> Sat, 02 Mar 2024 11:10:29 +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 |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| starpu_1.4.3+dfsg-4.dsc | 3.1 KiB | 0473370c23cfba4c10d06e3f3990b22f72bc016d75dc8ce03b9dc69512956f05 |
| starpu_1.4.3+dfsg.orig.tar.gz | 7.5 MiB | 63642e54bd52a46add45eea46eb2e5196658e9d8c5b3a73e619b539dab110107 |
| starpu_1.4.3+dfsg-4.debian.tar.xz | 15.4 KiB | 7df9f34c268b1d8a575f040e69f832198af0f7335541a2a4e4c26cafffdbfa36 |
Available diffs
- diff from 1.4.3+dfsg-3 to 1.4.3+dfsg-4 (736 bytes)
No changes file available.
Binary packages built by this source
- libsocl-1.4-1t64: 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-1.4-1t64-dbgsym: debug symbols for libsocl-1.4-1t64
- libstarpu-1.4-4t64: 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-1.4-4t64-dbgsym: debug symbols for libstarpu-1.4-4t64
- 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.
- libstarpu-openmp-llvm-1.4-1t64: 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 runtime support for LLVM OpenMP.
- libstarpu-openmp-llvm-1.4-1t64-dbgsym: debug symbols for libstarpu-openmp-llvm-1.4-1t64
- libstarpufft-1.4-1t64: 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-1.4-1t64-dbgsym: debug symbols for libstarpufft-1.4-1t64
- libstarpumpi-1.4-3t64: 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-1.4-3t64-dbgsym: debug symbols for libstarpumpi-1.4-3t64
- libstarpurm-1.4-1t64: 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 resource management library.
- libstarpurm-1.4-1t64-dbgsym: debug symbols for libstarpurm-1.4-1t64
- 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
