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  2. OptiX - Wikipedia

    en.wikipedia.org/wiki/OptiX

    The computations are offloaded to the GPUs through either the low-level or the high-level API introduced with CUDA. CUDA is only available for Nvidia's graphics products. Nvidia OptiX is part of Nvidia GameWorks. OptiX is a high-level, or "to-the-algorithm" API, meaning that it is designed to encapsulate the entire algorithm of which ray ...

  3. List of quantum chemistry and solid-state physics software

    en.wikipedia.org/wiki/List_of_quantum_chemistry...

    Package License † Language MPI OpenMP GPU I/O libraries Parallel I/O; ABINIT: Free, GPL Fortran: Yes: Yes: Yes, CUDA Yes, HDF5, NetCDF Yes, Fortran and HDF5 ACES [1 ...

  4. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    CUDA 8.0 comes with these other software components: nView – NVIDIA nView Desktop Management Software; NVWMI – NVIDIA Enterprise Management Toolkit; GameWorks PhysX – is a multi-platform game physics engine; CUDA 9.0–9.2 comes with these other components: CUTLASS 1.0 – custom linear algebra algorithms,

  5. Christofari - Wikipedia

    en.wikipedia.org/wiki/Christofari

    The package also includes proprietary software from Nvidia CUDA Toolkit, cuDNN, NCCL, and Docker Engine Utility for GPU Nvidia (the entire main machine learning stack runs in containers). The supercomputer is located in the Sberbank data center (DC) in the Skolkovo Innovation Center in Moscow, Russia.

  6. ROCm - Wikipedia

    en.wikipedia.org/wiki/ROCm

    Nvidia's CUDA is closed-source, whereas AMD ROCm is open source. There is open-source software built on top of the closed-source CUDA, for instance RAPIDS . CUDA is able run on consumer GPUs, whereas ROCm support is mostly offered for professional hardware such as AMD Instinct and AMD Radeon Pro .

  7. rCUDA - Wikipedia

    en.wikipedia.org/wiki/RCUDA

    rCUDA, which stands for Remote CUDA, is a type of middleware software framework for remote GPU virtualization. Fully compatible with the CUDA application programming interface ( API ), it allows the allocation of one or more CUDA-enabled GPUs to a single application.

  8. Comparison of deep learning software - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_deep...

    Train with Parallel Computing Toolbox and generate CUDA code with GPU Coder [23] No Yes [24] Yes [25] [26] Yes [25] Yes [25] Yes With Parallel Computing Toolbox [27] Yes Microsoft Cognitive Toolkit (CNTK) Microsoft Research: 2016 MIT license [28] Yes Windows, Linux [29] (macOS via Docker on roadmap) C++

  9. Yellow Dog Linux - Wikipedia

    en.wikipedia.org/wiki/Yellow_Dog_Linux

    Yellow Dog Linux (YDL) is a discontinued free and open-source operating system for high-performance computing on multi-core processor computer architectures, focusing on GPU systems and computers using the POWER7 processor.