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practical implications » practical applications (توسيع البحث), practical application (توسيع البحث)
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يعرض 101 - 120 نتائج من 599 نتيجة بحث عن '(( python practical implications ) OR ( ((python code) OR (python tool)) implementation ))*', وقت الاستعلام: 0.37s تنقيح النتائج
  1. 101
    Online Resource 3: Word Cloud Dataset and Code

    Online Resource 3: Word Cloud Dataset and Code حسب Jessica Zylla (17692920)

    منشور في 2025
    "…<p dir="ltr">Online Resource 3: Word Cloud Dataset and Code. This set of files are part of Online Resource 3, which allows readers to implement a Jupyter Notebook Python program to create a word cloud based on survey responses. …"
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  2. 102
    Python code for a rule-based NLP model for mapping circular economy indicators to SDGs

    Python code for a rule-based NLP model for mapping circular economy indicators to SDGs حسب Zahir Barahmand (18008947)

    منشور في 2025
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  3. 103
    FeO<sub>s</sub>: An Open-Source Framework for Equations of State and Classical Density Functional Theory

    FeO<sub>s</sub>: An Open-Source Framework for Equations of State and Classical Density Functional Theory حسب Philipp Rehner (9404883)

    منشور في 2023
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  4. 104
    Optimal implementation of vector operations on the GPU platform (single precision; solid black line = benchmarked bandwidth; lines + symbols = effective bandwidth; black = COPY1D; red = XPXPY20_1D; filled circles = <i>CUDA</i> f32, hollow triangles = <i>CUDA</i> float4; filled squares = XLA).

    Optimal implementation of vector operations on the GPU platform (single precision; solid black line = benchmarked bandwidth; lines + symbols = effective bandwidth; black = COPY1D;... حسب Xuzhen He (14676114)

    منشور في 2023
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  5. 105
    Distribution of alignment overlap lengths for pairs aligned only by either of the tools.

    Distribution of alignment overlap lengths for pairs aligned only by either of the tools. حسب Mehmet Akdel (11507114)

    منشور في 2021
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  6. 106
    Benchmarked bandwidth.

    Benchmarked bandwidth. حسب Xuzhen He (14676114)

    منشور في 2023
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  7. 107
    Information of the tested CPU platforms.

    Information of the tested CPU platforms. حسب Xuzhen He (14676114)

    منشور في 2023
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  8. 108
    Boundary-value problems and solutions for the examined numerical models.

    Boundary-value problems and solutions for the examined numerical models. حسب Xuzhen He (14676114)

    منشور في 2023
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  9. 109
    Architecture of accelerated linear algebra (XLA) compiler.

    Architecture of accelerated linear algebra (XLA) compiler. حسب Xuzhen He (14676114)

    منشور في 2023
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  10. 110
    Maximal effective bandwidth of various vector operations.

    Maximal effective bandwidth of various vector operations. حسب Xuzhen He (14676114)

    منشور في 2023
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  11. 111
    Memory access pattern and bandwidth.

    Memory access pattern and bandwidth. حسب Xuzhen He (14676114)

    منشور في 2023
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  12. 112
    Model for the maximal effective bandwidth of numerical models (lines = model prediction by Eq 12; symbols = measured maximal effective bandwidth; filled = f64; hollow = f32; black = CPU medium; red = CPU large; blue = GPU medium; magenta = GPU large).

    Model for the maximal effective bandwidth of numerical models (lines = model prediction by Eq 12; symbols = measured maximal effective bandwidth; filled = f64; hollow = f32; black... حسب Xuzhen He (14676114)

    منشور في 2023
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  13. 113
    Array, neighbourhood and representation of neighbouring elements.

    Array, neighbourhood and representation of neighbouring elements. حسب Xuzhen He (14676114)

    منشور في 2023
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  14. 114
    Optimal implementation of vector operations on the CPU platform (double precision; solid black line = benchmarked bandwidth; lines + symbols = effective bandwidth; black = COPY1D; red = XPXPY20_1D; filled circles = <i>OpenMP parallel for</i> with the maximal no. of threads, hollow circles = <i>OpenMP parallel for</i> with one thread; hollow triangles = single-thread SIMD; filled squares = XLA).

    Optimal implementation of vector operations on the CPU platform (double precision; solid black line = benchmarked bandwidth; lines + symbols = effective bandwidth; black = COPY1D;... حسب Xuzhen He (14676114)

    منشور في 2023
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  15. 115
    Relative efficiency of XLA for element-wise operations (hollow = vector operations; filled = matrix operations; circles = f64; triangles = f32; black = PC CPU; red = PC GPU; blue = HPC CPU; magenta = HPC GPU).

    Relative efficiency of XLA for element-wise operations (hollow = vector operations; filled = matrix operations; circles = f64; triangles = f32; black = PC CPU; red = PC GPU; blue =... حسب Xuzhen He (14676114)

    منشور في 2023
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  16. 116
    Fused operations (filled circles) vs. simple operations (hollow circles) and XLA (filled squares) vs. without XLA (hollow squares) (black = AXPY1D; red = XPXPY6_1D).

    Fused operations (filled circles) vs. simple operations (hollow circles) and XLA (filled squares) vs. without XLA (hollow squares) (black = AXPY1D; red = XPXPY6_1D). حسب Xuzhen He (14676114)

    منشور في 2023
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  17. 117
    The examined operations.

    The examined operations. حسب Xuzhen He (14676114)

    منشور في 2023
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  18. 118
    Optimal implementation of COPY2D on the GPU platform of the PC (double precision; solid black line = benchmarked bandwidth; circle symbols = effective bandwidth with different shapes of thread block; black = 1 × 512, 1 × 128, 2 × 256, or 2 × 64; red = 4 × 128; blue = 16 × 32; magenta = 128 × 4; green = 512 × 1; filled diamonds + line = optimal for COPY1D; filled squares + line = XLA).

    Optimal implementation of COPY2D on the GPU platform of the PC (double precision; solid black line = benchmarked bandwidth; circle symbols = effective bandwidth with different shap... حسب Xuzhen He (14676114)

    منشور في 2023
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  19. 119
    Optimal implementation of HEAT2D and NS2D on the GPU platform (double precision; solid black line = benchmarked bandwidth; lines + symbols = effective bandwidth; black = HEAT2D; red = NS2D; blue = XPXPY12_2D; filled circles = <i>CUDA</i> utilising L2 cache; hollow triangles = <i>CUDA</i> utilising shared memory; filled squares = XLA with slice and concatenation; hollow diamonds = XLA with convolution; hollow pentagons = XLA with roll).

    Optimal implementation of HEAT2D and NS2D on the GPU platform (double precision; solid black line = benchmarked bandwidth; lines + symbols = effective bandwidth; black = HEAT2D; re... حسب Xuzhen He (14676114)

    منشور في 2023
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  20. 120
    Pseudocodes for the operations.

    Pseudocodes for the operations. حسب Xuzhen He (14676114)

    منشور في 2023
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