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Showing 1 to 5 of 5 for “"generic programming"”.

  1. A Language for Generic Programming

    … has demonstrated that the discipline of generic programming is an effective approach to the design and implementation of large-scale software libraries. At the heart of generic programming is a semi-formal interface specification language for generic components. Many programming languages …

    iu Repository record for A Language for Generic Programming (opens in a new tab)

  2. A High Performance C++ Generic Benchmark for Computational Epidemiology

    … Our proposed benchmark is designed using C++ generic programming primitives and lifting sequential strategies for parallel computations. Together, these lead to a succinct description of the benchmark and significant code reuse when deriving strategies for new hardware. For the benchmark to be …

    vt Repository record for A High Performance C++ Generic Benchmark for Computational Epidemiology (opens in a new tab)

  3. Robust Non-Matrix Based Power Flow Algorithm for Solving Integrated Transmission and Distribution Systems

    … a continuation method. GTA is derived from the Generic Programming Paradigm of computer science. It uses topology iterators to move through components in a model and perform calculations. Two advantages that GTA brings are the separation of system equations from component equations and the …

    vt Repository record for Robust Non-Matrix Based Power Flow Algorithm for Solving Integrated Transmission and Distribution Systems (opens in a new tab)

  4. Generic FPGA Preprocessing for Astrophysics Instruments in HLS

    … for a new instrument. In this work, we explore generic programming paradigms in the context of HLS, demonstrating that this allows sufficient flexibility of specification to create a pipeline that can be recompiled to automatically accommodate distinct instruments from a manifest of their unique …

    wustl Repository record for Generic FPGA Preprocessing for Astrophysics Instruments in HLS (opens in a new tab)

  5. Applications of Machine Learning to Facilitate Software Engineering and Scientific Computing

    … in Keras with ones available in the Fortran programming language is also presented.</p> <p>In Chapter 2, we explore the applicability of transfer learning utilizing models pre-trained on non-software engineering data applied to the problem of classifying software unified modeling language …

    chapman Repository record for Applications of Machine Learning to Facilitate Software Engineering and Scientific Computing (opens in a new tab)