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Software Description Platform License Developer Abalone: A general purpose molecular dynamics and molecular graphics program for simulations of bio-molecules x86, Nvidia GPU CUDA Proprietary Agile Molecule [1] [2] TINKER: A molecular dynamics simulator with a complete and general package for molecular mechanics and molecular dynamics.
Milvus provides GPU accelerated index building and search using Nvidia CUDA technology [17] ... Free and open-source software portal; ... Developers; Statistics;
In computing, CUDA (Compute Unified Device Architecture) is a proprietary [2] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.
CUDA code runs on both the central processing unit (CPU) and graphics processing unit (GPU). NVCC separates these two parts and sends host code (the part of code which will be run on the CPU) to a C compiler like GNU Compiler Collection (GCC) or Intel C++ Compiler (ICC) or Microsoft Visual C++ Compiler, and sends the device code (the part which will run on the GPU) to the GPU.
CuPy is an open source library for GPU-accelerated computing with Python programming language, providing support for multi-dimensional arrays, sparse matrices, and a variety of numerical algorithms implemented on top of them. [3]
At GDC 2015, Nvidia made the source code for PhysX available on GitHub, but required registration at developer.nvidia.com. [9] The proprietary SDK was provided to developers for free for both commercial and non-commercial use on Windows, Linux, macOS, iOS and Android platforms. [10]
The Nvidia CUDA Compiler (NVCC) translates code written in CUDA, a C++-like language, into PTX instructions (an assembly language), and the graphics driver contains a compiler which translates PTX instructions into executable binary code, [2] which can run on the processing cores of Nvidia graphics processing units (GPUs).