Search Results - "parallel programming practices"

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  1. 1
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    VeloxChem Quantum-Classical Interoperability for Modeling of Complex Molecular Systems by de Gracia Triviño, Juan Angel, Brumboiu, Iulia Emilia, Carrasco-Busturia, David, Li, Xin, Li, Chenxi, Linares, Mathieu, Lindfeld, Valentin, Rhee, Young Min, Rune, Julia, van Hoorn, Bastiaan, Norman, Patrick, Ahlquist, Mårten S G

    ISSN: 1520-5215, 1520-5215
    Published: United States 14.08.2025
    “…Being a program written primarily in Python that strictly adheres to modern object-oriented software engineering and parallel programming practices, VeloxChem is shown to be suitable for the development of (semi…”
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  2. 2
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    A Practical Approach to Exploiting Coarse-Grained Pipeline Parallelism in C Programs by Thies, W., Chandrasekhar, V., Amarasinghe, S.

    ISBN: 0769530478, 9780769530475
    ISSN: 1072-4451
    Published: IEEE 01.01.2007
    “…The emergence of multicore processors has heightened the need for effective parallel programming practices…”
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  3. 3
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    Efficient NAS Parallel Benchmark Kernels with CUDA by Araujo, Gabriell Alves de, Griebler, Dalvan, Danelutto, Marco, Fernandes, Luiz Gustavo

    ISSN: 2377-5750
    Published: IEEE 01.03.2020
    “… Our contribution covers different aspects. First, best parallel programming practices were followed to implement NPB kernels using CUDA…”
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  4. 4
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    A Practical Approach to Exploiting Coarse-Grained Pipeline Parallelism in C Programs by Thies, William, Chandrasekhar, Vikram, Amarasinghe, Saman

    ISBN: 9780769530475, 0769530478
    Published: Washington, DC, USA IEEE Computer Society 01.12.2007
    “…The emergence of multicore processors has heightened the need for effective parallel programming practices…”
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  5. 5
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    Expert Programmer versus Parallelizing Compiler: A Comparative Study of Two Approaches for Distributed Shared Memory by O′Boyle, M. F. P., Bull, J. M.

    ISSN: 1058-9244, 1875-919X
    Published: 01.01.1996
    Published in Scientific programming (01.01.1996)
    “…This article critically examines current parallel programming practice and optimizing compiler development…”
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