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GPU mining is the use of Graphics Processing Units (GPUs) to "mine" proof-of-work cryptocurrencies, such as Bitcoin. [1] Miners receive rewards for performing computationally intensive work, such as calculating hashes, that amend and verify transactions on an open and decentralized ledger.
KNIME (/ n aɪ m / ⓘ), the Konstanz Information Miner, [2] is a free and open-source data analytics, reporting and integration platform.KNIME integrates various components for machine learning and data mining through its modular data pipelining "Building Blocks of Analytics" concept.
MS Windows: Java: Free to use software to digitize geological cross-sections, and display and edit borehole logs Geoscience ANALYST [30] Free 3D visualization and communication software for integrated, multi-disciplinary geoscience and mining data and models, which also connects to Python through geoh5py, its open-source API Mira Geoscience Ltd.
However, nearly all software meeting the Free Software Definition also meets the Open Source Definition and vice versa. A small fraction of the software that meets either definition is listed here. Some of the open-source applications are also the basis of commercial products, shown in the List of commercial open-source applications and services.
General-purpose computing on graphics processing units (GPGPU, or less often GPGP) is the use of a graphics processing unit (GPU), which typically handles computation only for computer graphics, to perform computation in applications traditionally handled by the central processing unit (CPU).
List of software for Monte Carlo molecular modeling; Comparison of software for molecular mechanics modeling; Molecular design software; Molecule editor; Molecular modeling on GPUs; List of software for nanostructures modeling; Semi-empirical quantum chemistry method; Computational chemical methods in solid-state physics, with periodic boundary ...
CUDA is a software layer that gives direct access to the GPU's virtual instruction set and parallel computational elements for the execution of compute kernels. [6] In addition to drivers and runtime kernels, the CUDA platform includes compilers, libraries and developer tools to help programmers accelerate their applications.
The benchmark 3D scene is a steampunk-style city on flying islands in the middle of the clouds. The scene is GPU-intensive because of tessellation used for all the surfaces, dynamic sky with volumetric clouds and day-night cycle, real-time global illumination, and screen-space ambient occlusion.