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  • The NumPy Array: A Structur... The NumPy Array: A Structure for Efficient Numerical Computation
    van der Walt, Stefan; Colbert, S. Chris; Varoquaux, Gael Computing in science & engineering, 03/2011, Volume: 13, Issue: 2
    Journal Article
    Peer reviewed
    Open access

    In the Python world, NumPy arrays are the standard representation for numerical data and enable efficient implementation of numerical computations in a high-level language. As this effort shows, ...
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  • IPython: A System for Inter... IPython: A System for Interactive Scientific Computing
    Perez, Fernando; Granger, Brian E. Computing in science & engineering, 05/2007, Volume: 9, Issue: 3
    Journal Article
    Peer reviewed

    Python offers basic facilities for interactive work and a comprehensive library on top of which more sophisticated systems can be built. The IPython project provides on enhanced interactive ...
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  • Python for Scientific Compu... Python for Scientific Computing
    Oliphant, Travis E. Computing in science & engineering, 2007, Volume: 9, Issue: 3
    Journal Article
    Peer reviewed
    Open access

    Python is an excellent "steering" language for scientific codes written in other languages. However, with additional basic tools, Python transforms into a high-level language suited for scientific ...
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  • Solving Ordinary Differenti... Solving Ordinary Differential Equations in Python
    Sundnes, Joakim 2024, 2023, Volume: 15
    eBook
    Open access

    This open access volume explains the foundations of modern solvers for ordinary differential equations (ODEs). Formulating and solving ODEs is an essential part of mathematical modeling and ...
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  • A Theory of Scientific Programming Efficacy
    Pertseva, Elizaveta; Chang, Melinda; Zaman, Ulia ... 2024 IEEE/ACM 46th International Conference on Software Engineering (ICSE), 2024-April-14
    Conference Proceeding
    Open access

    Scientists write and maintain software artifacts to construct, validate, and apply scientific theories. Despite the centrality of software in their work, their practices differ significantly from ...
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  • CUDA-enabled Sparse Matrix–... CUDA-enabled Sparse Matrix–Vector Multiplication on GPUs using atomic operations
    Dang, Hoang-Vu; Schmidt, Bertil Parallel computing, 11/2013, Volume: 39, Issue: 11
    Journal Article
    Peer reviewed

    •We propose the Sliced Coordinate Format (SCOO) for Sparse Matrix–Vector Multiplication on GPUs.•An associated CUDA implementation which takes advantage of atomic operations is presented.•We propose ...
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  • Pythran: Crossing the Pytho... Pythran: Crossing the Python Frontier
    Guelton, Serge Computing in science & engineering, 2018-Mar./Apr., 2018-3-00, Volume: 20, Issue: 2
    Journal Article
    Peer reviewed

    Use of the Python language in scientific computing has always been characterized by the coexistence of interpreted Python code and compiled native code, written in languages like C or Fortran. This ...
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  • Composable Parallel Pattern... Composable Parallel Patterns with Intel Cilk Plus
    Robison, Arch D. Computing in science & engineering, 2013-March-April, 2013-03-00, Volume: 15, Issue: 2
    Journal Article
    Peer reviewed

    Intel Cilk Plus extends C and C++ to enable writing composable deterministic parallel software that can exploit both the thread and vector parallelism commonly available in modern hardware.
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  • Domain-Specific Languages i... Domain-Specific Languages in Scientific Computing
    Hinsen, Konrad Computing in science & engineering, 01/2018, Volume: 20, Issue: 1
    Journal Article
    Peer reviewed
    Open access

    If you have been following developments in software engineering in recent years, you have probably noticed that the term DSL (domain-specific language) has become a minor buzzword in that field. You ...
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