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  2. CuPy - Wikipedia

    en.wikipedia.org/wiki/CuPy

    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] CuPy shares the same API set as NumPy and SciPy, allowing it to be a drop-in replacement to run NumPy/SciPy code on GPU.

  3. GPU mining - Wikipedia

    en.wikipedia.org/wiki/GPU_mining

    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.

  4. mlpack - Wikipedia

    en.wikipedia.org/wiki/Mlpack

    Bandicoot [6] is a C++ Linear Algebra library designed for scientific computing, it has the an identical API to Armadillo with objective to execute the computation on Graphics Processing Unit (GPU), the purpose of this library is to facilitate the transition between CPU and GPU by making a minor changes to the source code, (e.g. changing the ...

  5. General-purpose computing on graphics processing units

    en.wikipedia.org/wiki/General-purpose_computing...

    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).

  6. CUDA - Wikipedia

    en.wikipedia.org/wiki/CUDA

    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. [5] In addition to drivers and runtime kernels, the CUDA platform includes compilers, libraries and developer tools to help programmers accelerate their applications.

  7. Apache SystemDS - Wikipedia

    en.wikipedia.org/wiki/Apache_SystemDS

    New python bindings with supports for several builtins, matrix operations, federated tensors and lineage traces. Cuda implementation of cumulative aggregate operators (cumsum, cumprod etc.) New model debugging technique with slice finder. New tensor data model (basic tensors of different value types, data tensors with schema) [experimental]

  8. Which companies have the most employees on H-1B visas? - AOL

    www.aol.com/companies-most-employees-h-1b...

    In helping instigate a heated debate over H-1B visas, Elon Musk is speaking both from personal experience and as a business owner.That's because his company, electric car maker Tesla, is among the ...

  9. Keras - Wikipedia

    en.wikipedia.org/wiki/Keras

    Keras is an open-source library that provides a Python interface for artificial neural networks. Keras was first independent software, then integrated into the TensorFlow library, and later supporting more. "Keras 3 is a full rewrite of Keras [and can be used] as a low-level cross-framework language to develop custom components such as layers ...