starpu-contrib 1.4.1+dfsg-4 source package in Ubuntu
Changelog
starpu-contrib (1.4.1+dfsg-4) unstable; urgency=medium * rules: Also hardcode the maximum number of cpus and NUMA nodes. -- Samuel Thibault <email address hidden> Fri, 14 Jul 2023 16:07:57 +0200
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 | |
|---|---|---|---|---|
| Mantic | release | multiverse | libs |
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| starpu-contrib_1.4.1+dfsg-4.dsc | 3.3 KiB | 0daa92f18c861d0c4e9d15d797d50f25afac34195cda822ab6e7c4ee36ac5488 |
| starpu-contrib_1.4.1+dfsg.orig.tar.gz | 7.5 MiB | d8b532fcd782ed6a7396fa5a701c3c73fbf4130db56c172af6e7d236e0ee2bc2 |
| starpu-contrib_1.4.1+dfsg-4.debian.tar.xz | 13.7 KiB | 9cd38ce6b29f76262cc1e665e04d4cf06a0c94af2a91126c0210fb2a47f40ec0 |
Available diffs
No changes file available.
Binary packages built by this source
- libsocl-contrib-1.4-1: 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.
This "contrib" version is built against CUDA.
- libsocl-contrib-1.4-1-dbgsym: debug symbols for libsocl-contrib-1.4-1
- libstarpu-contrib-1.4-2: 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 the main StarPU library
This "contrib" version is built against CUDA.
- libstarpu-contrib-1.4-2-dbgsym: debug symbols for libstarpu-contrib-1.4-2
- 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.
This "contrib" version is built against CUDA.
- libstarpu-contrib-openmp-llvm-1.4-1: 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.
This "contrib" version is built against CUDA.
- libstarpu-contrib-openmp-llvm-1.4-1-dbgsym: debug symbols for libstarpu-contrib-openmp-llvm-1.4-1
- libstarpu-contribfft-1.4-1: 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.
This "contrib" version is built against CUDA.
- libstarpu-contribfft-1.4-1-dbgsym: debug symbols for libstarpu-contribfft-1.4-1
- libstarpu-contribmpi-1.4-2: 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.
This "contrib" version is built against CUDA.
- libstarpu-contribmpi-1.4-2-dbgsym: debug symbols for libstarpu-contribmpi-1.4-2
- libstarpu-contribrm-1.4-1: 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.
This "contrib" version is built against CUDA.
- libstarpu-contribrm-1.4-1-dbgsym: debug symbols for libstarpu-contribrm-1.4-1
- 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.
This "contrib" version is built against CUDA.
- starpu-contrib-examples-dbgsym: debug symbols for starpu-contrib-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.
This "contrib" version is built against CUDA.
- starpu-contrib-tools-dbgsym: debug symbols for starpu-contrib-tools
