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Package: libnccl-dev
Description-md5: eb51ac028af4e93d497fb00fb21ea648
Description-en: NVIDIA Optimized primitives for inter-GPU communication (development)
 NCCL (pronounced "Nickel") is a stand-alone library of standard communication
 routines for GPUs, implementing all-reduce, all-gather, reduce, broadcast,
 reduce-scatter, as well as any send/receive based communication pattern. It
 has been optimized to achieve high bandwidth on platforms using PCIe, NVLink,
 NVswitch, as well as networking using InfiniBand Verbs or TCP/IP sockets. NCCL
 supports an arbitrary number of GPUs installed in a single node or across
 multiple nodes, and can be used in either single- or multi-process (e.g., MPI)
 applications.
 .
 This package contains the development files.

Package: libnccl2
Description-md5: 9d65922c97dff88e1fb00aa87e7e5d73
Description-en: NVIDIA Optimized primitives for inter-GPU communication
 NCCL (pronounced "Nickel") is a stand-alone library of standard communication
 routines for GPUs, implementing all-reduce, all-gather, reduce, broadcast,
 reduce-scatter, as well as any send/receive based communication pattern. It
 has been optimized to achieve high bandwidth on platforms using PCIe, NVLink,
 NVswitch, as well as networking using InfiniBand Verbs or TCP/IP sockets. NCCL
 supports an arbitrary number of GPUs installed in a single node or across
 multiple nodes, and can be used in either single- or multi-process (e.g., MPI)
 applications.
 .
 This package contains the shared objects.

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Package: nvidia-cudnn
Description-md5: aff2caf53c29838279b63dd35dec1798
Description-en: NVIDIA CUDA Deep Neural Network library (install script)
 The NVIDIA CUDA Deep Neural Network library (cuDNN) is a GPU-accelerated
 library of primitives for deep neural networks. cuDNN provides highly
 tuned implementations for standard routines such as forward and backward
 convolution, pooling, normalization, and activation layers. cuDNN is part
 of the NVIDIA Deep Learning SDK.
 .
 This package only contains the script "/usr/sbin/update-nvidia-cudnn" to
 download and install Nvidia cuDNN locally. It will be automatically
 invoked during installation.

Package: libcudnn-frontend-dev
Description-md5: 6272d149e1d6d63a6a1faa440ced237d
Description-en: c++ wrapper for the cudnn backend API (development files)
 The cuDNN frontend API is a C++ header-only library that wraps the cuDNN C
 backend API. Both the frontend and backend APIs are entry points to the same
 set of functionality that we commonly refer to as the "graph API".
 .
 While there are two entry points to the graph API (i.e. backend and frontend),
 we expect that most users will use the frontend entry point because:
 .
 It is less verbose without loss of control. All functionality accessible
 through the backend API is also accessible through the frontend API.  It adds
 functionality on top of the backend API, like errata filters and autotuning.
 Also, for those who want to use the backend API, the frontend source can serve
 as a reference implementation.
 .
 This is a header-only C++ library.

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Package: mumax3
Description-md5: 31b32b8b874fff7a3226df456e85a895
Description-en: GPU-accelerated micromagnetic simulator
 mumax3 is a GPU-accelerated micromagnetic simulation program developed
 at the DyNaMat group of Prof. Van Waeyenberge at Ghent University.
 .
 A speed-up of the order of 100x compared to CPU-based simulations can
 easily be reached, even with relatively inexpensive gaming
 GPUs. Additionally, the software is optimized for low memory use and
 can handle about 16 million FD cells with 2GB of GPU RAM.
 .
 Features:
  - Landau-Lifshitz micromagnetic formalism
  - Magnetostatic field
  - Heisenberg exchange
  - Arbitrary inter-region exchange like RKKY coupling
  - Dzyaloshinskii-Moriya interaction
  - Spin-transfer torque (Zhang-Li and Slonczewski)
  - Uniaxial and cubic magnetocrystalline anisotropy
  - Thermal fluctuations (Brown)
  - Voronoi tessellation
  - Time- and space dependent material parameters
  - Arbitrary complex excitation (field, current)
  - Simulation window can automatically follow a moving domain wall
  - Edge charges can be removed to simulate an infinitely long geometry
  - Optional 1D, 2D or 3D periodic boundary conditions

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Package: libeztrace0-contrib
Description-md5: 0d7dd19ec5cdd84ca4eb1c67b1cf99b9
Description-en: Automatic execution trace generation for HPC - runtime libraries
 EZTrace is a tool that aims at generating automatically execution traces
 from HPC (High Performance Computing) programs. It generates execution
 trace files that can be interpreted by visualization tools such as
 ViTE. It uses LD_PRELOAD and dlsym() to intercept calls to the usual HPC
 primitives, to be observed.
 .
 This package contains the development files depending on CUDA.

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233,234c
Description-md5: ae3c58118cee02e359fba426ae62a4b2
Description-en: Atari 8-bit emulator
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