Package: blimps-examples Description-md5: 18ddc9ff8aab78bc1efd53cccc24389d Description-en: blocks database improved searcher (example data) BLIMPS (BLocks IMProved Searcher) is a searching tool that scores a protein sequence against blocks or a block against sequences. . This package contains example data. Package: blimps-utils Description-md5: 1afe4567b883b39e7050a4f604a91e17 Description-en: blocks database improved searcher BLIMPS (BLocks IMProved Searcher) is a searching tool that scores a protein sequence against blocks or a block against sequences. . This package contains the binaries. Package: gamescope Description-md5: 6111e2509fd84e122c22f72219401268 Description-en: Micro-compositor for game scaling Gamescope wraps your games to give them scaling and fullscreen options. It provides a Wayland compositor to your games, but gamescope runs under both Wayland and X.org. . Your game sees a virtual display at the resolution you specified. You see a scaled view in a window or fullscreen. This is useful when either the game or your system do not permit running the game at native window/screen sizes. You can also use integer scaling to keep your pixels sharp and pixelated. Package: gentle Description-md5: 8be9c34902838801e85217c491d8f282 Description-en: suite for molecular cloning and sequence analysis GENtle is an open-source tool designed to facilitate molecular cloning, DNA/RNA sequence analysis, and plasmid design. It provides an intuitive graphical interface for visualizing and editing nucleotide sequences, creating and managing cloning projects, and simulating restriction digests. GENtle supports multiple formats for sequence import/export and includes features for primer design, sequence alignment, and annotation, sequencer data import, calculators, gel image display, PCR, and much more. Package: groops Description-md5: bf842f676e50d0c5568386e4323b0d91 Description-en: software toolkit for gravity field recovery and GNSS processing The Gravity Recovery Object Oriented Programming System (GROOPS) is a software toolkit written in C++ that enables the user to perform core geodetic tasks. Key features of the software include gravity field recovery from satellite and terrestrial data, the determination of satellite orbits from global navigation satellite system (GNSS) measurements, and the processing of GNSS constellations and ground station networks. . Most tasks and algorithms are (optionally) parallelized through the Message Passing Interface (MPI), thus the software enables a smooth transition from single-CPU desktop computers to large distributed computing environments for resource intensive tasks. Package: groops-gui Description-md5: 660122526e2a2da4d1d20a2c560fc7ec Description-en: software toolkit for gravity field recovery and GNSS processing (GUI) The Gravity Recovery Object Oriented Programming System (GROOPS) is a software toolkit written in C++ that enables the user to perform core geodetic tasks. Key features of the software include gravity field recovery from satellite and terrestrial data, the determination of satellite orbits from global navigation satellite system (GNSS) measurements, and the processing of GNSS constellations and ground station networks. . Most tasks and algorithms are (optionally) parallelized through the Message Passing Interface (MPI), thus the software enables a smooth transition from single-CPU desktop computers to large distributed computing environments for resource intensive tasks. . This package is the GUI. Package: indi-fishcamp Description-md5: 166b60359988f3196e262dce85c3c645 Description-en: INDI driver for Fishcamp Engineering CCD This package contains an INDI driver for CCD cameras made by Fishcamp Engineering. . This driver is compatible with any INDI client such as KStars or Xephem. Package: indi-mi Description-md5: 972492f2219355825c6f0c51cc9d886f Description-en: INDI driver for cameras made by Moravian Instruments This package contains an INDI driver to support cameras made by Moravian Instruments. . This driver is compatible with any INDI client such as KStars or Xephem. Package: indi-sbig Description-md5: bc8ec3942ce34579911062ed3a339949 Description-en: INDI driver for SBIG cameras This package contains an INDI driver for SBIG Santa Barbra Instrument Group CCD cameras. . This driver is compatible with any INDI client such as KStars or Xephem. Package: libblimps3 Description-md5: a1ad50ab461eca726e0a4e957f1a2ffa Description-en: blocks database improved searcher library BLIMPS (BLocks IMProved Searcher) is a searching tool that scores a protein sequence against blocks or a block against sequences. . This package provides the shared library. Package: libblimps3-dev Description-md5: 4d04b155f279229d68533b0ec59a8e4f Description-en: blocks database improved searcher library (development) BLIMPS (BLocks IMProved Searcher) is a searching tool that scores a protein sequence against blocks or a block against sequences. . This package provides the library development headers and the static library. Package: libgloo-cuda-0 Description-md5: 11fe5b4bb9197845522ecac87176ae15 Description-en: Collective communications library (shared object) Gloo is a collective communications library. It comes with a number of collective algorithms useful for machine learning applications. These include a barrier, broadcast, and allreduce. . Transport of data between participating machines is abstracted so that IP can be used at all times, or InifiniBand (or RoCE) when available. In the latter case, if the InfiniBand transport is used, GPUDirect can be used to accelerate cross machine GPU-to-GPU memory transfers. . Where applicable, algorithms have an implementation that works with system memory buffers, and one that works with NVIDIA GPU memory buffers. In the latter case, it is not necessary to copy memory between host and device; this is taken care of by the algorithm implementations. . This package ships the shared object for Gloo. Package: libgloo-cuda-dev Description-md5: 1eb5d67397fdb9a8162c5c082d1e6d78 Description-en: Collective communications library (development files) Gloo is a collective communications library. It comes with a number of collective algorithms useful for machine learning applications. These include a barrier, broadcast, and allreduce. . Transport of data between participating machines is abstracted so that IP can be used at all times, or InifiniBand (or RoCE) when available. In the latter case, if the InfiniBand transport is used, GPUDirect can be used to accelerate cross machine GPU-to-GPU memory transfers. . Where applicable, algorithms have an implementation that works with system memory buffers, and one that works with NVIDIA GPU memory buffers. In the latter case, it is not necessary to copy memory between host and device; this is taken care of by the algorithm implementations. . This package ships the development files. Package: libprimus-vk1 Description-md5: 9cc616059b790cb11afff2f1a5f393d2 Description-en: vulkan layer library for the primus-vk layer This library implements the primus-vk layer. It decides which GPU the individual Vulkan API calls should go against and does the image copying. Package: libsocl-contrib-1.4-1t64 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-1.4-5t64 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-contrib-openmp-llvm-1.4-1t64 Description-md5: 0c4cf9967f5b66c184481dbb23c8faa6 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 runtime support for LLVM OpenMP. This "contrib" version is built against CUDA. Package: libstarpu-contribfft-1.4-1t64 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-1.4-3t64 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-1.4-1t64 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: nvidia-primus-vk-common Description-md5: 1de48695d37b053918704fd873985909 Description-en: thin wrapper for the NVIDIA binary Vulkan ICD (common files) This package disables the original NVIDIA binary Vulkan driver and registers the thin wrapper from nvidia-primus-vk-wrapper to ensure that the NVIDIA driver is usable with bumblebee. Package: nvidia-primus-vk-wrapper Description-md5: b56d29bdf2a2c1ac493d1c61f63daef4 Description-en: thin wrapper for using the NVIDIA binary Vulkan ICD with bumblebee This library is a thin wrapper around the Vulkan API functions of the nvidia Vulkan driver. The Vulkan driver misbehaves for example by reading the DISPLAY environment variable and connecting to that display server. This library works around that misbehaviour, so the driver can be used with bumblebee. Package: primus-nvidia Description-md5: 47ebdd2f5f4085bfde25afb56ffc6f5a Description-en: NVIDIA Primus support using the proprietary NVIDIA driver This metapackage ensures that the proprietary NVIDIA driver is installed in a way such that 3D acceleration does not break. It does so by configuring the OpenGL library path to use the Mesa graphics library. Package: primus-vk Description-md5: f31384e21e05aff86907e8c0495ecc4f Description-en: Vulkan layer for GPU offloading Typically you want to display an image rendered on a more powerful GPU on a display managed by an internal GPU. The layer in this package will direct rendering commands to a dedicated, more powerful GPU an when such an image is displayed it will be copied to the integrated CPU for displaying. . The user can activate offloading for individual applications by launching them with the "pvkrun" program. Package: primus-vk-nvidia Description-md5: 8b6b25b6894037f56819bf3bc0d80e41 Description-en: NVIDIA Optimus support for Vulkan applications This metapackage depends on all packages necessary to run OpenGL and Vulkan applications on a dedicated graphics card on systems with Nvidia + Intel Optimus hardware. Package: python3-pynvml Description-md5: a70729a5f02f7f1635513991a7e8a017 Description-en: Python3 bindings to the NVIDIA Management Library Provides a Python interface to GPU management and monitoring functions. . This is a wrapper around the NVML library. For information about the NVML library, see the NVML developer page http://developer.nvidia.com/nvidia-management-library-nvml Package: python3-unrardll Description-md5: 8d0611fc7a01d136b73e1fb134e911a5 Description-en: Python wrapper for the unrar shared library Python library that provides access to libunrar Package: rar Description-md5: 649b872741c4c5402456879832c70c03 Description-en: Archiver for .rar files This is the RAR archiver from Eugene Roshal. It supports multiple volume archives and damage protection. It can also create SFX-archives. There are versions which run on DOS, Windows, FreeBSD, BSDI. . This program is shareware and you must register it after 40 days of use. Package: rpiboot Description-md5: e68c4e198fae2f317737c389ade18412 Description-en: Raspberry Pi USB booting code USB MSD boot code which should work on the Raspberry Pi model A, Compute Module, Compute Module 3, Compute Module 4, Compute Module 5, Raspberry Pi 5 and Raspberry Pi Zero. . Also includes utilities for working with secure boot on the Raspberry Pi 4 series (including Compute Module 4 and certain board revisions of the 4B and 400). 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.