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Package: libsocl-contrib-1.3-0
Description-md5: 4a69ce3f02f2cf01466ed8b9a22d8758
Description-en: 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.

Package: libstarpu-contrib-1.3-7
Description-md5: f0ca811d02d6bbb6c830781bf9811bff
Description-en: 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.

Package: libstarpu-contrib-dev
Description-md5: e7f42763fbe9c087a6defa203190f56e
Description-en: 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.

Package: libstarpu-contribfft-1.3-2
Description-md5: 1079179920c93a735ab89566a3855d36
Description-en: 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.

Package: libstarpu-contribmpi-1.3-3
Description-md5: 4d3ce5602db3c9fbd91b7e19dcc14e2a
Description-en: 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.

Package: libstarpu-contribrm-1.3-2
Description-md5: 3008682b6502a417f1d5f1b0170499a0
Description-en: 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.

Package: starpu-contrib-examples
Description-md5: 11b8c6811b08d3b761c4e2f5fd0e0890
Description-en: 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.

Package: starpu-contrib-tools
Description-md5: 21e204c0915cd3972a9cf41ad059d147
Description-en: 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.

.
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Package: protontricks
Description-md5: ea45498f2789ed455d73ed5cfdcfd59e
Description-en: simple wrapper that does Winetricks things for Proton
 Proton is a modified version of Wine used in Steam. This tool allows you to
 use Winetricks commands for games in Steam using Proton. This is often useful
 when a game requires closed-source runtime libraries that are not included
 with Proton.

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Package: lutris
Description-md5: b5d348c06e71fcae02acb85bacdea558
Description-en: open source gaming platform
 Lutris goal is to make gaming on Linux as easy as possible by taking care of
 installing and setting up the game for the user. The only thing you have to do
 is play the game. It aims to support every game that is playable on Linux.

.
