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Showing 101 - 120 results of 616 for search '(( ((python tool) OR (python code)) implementation ) OR ( python dot represents ))', query time: 0.51s Refine Results
  1. 101
    Sequence feature analysis.

    Sequence feature analysis. by Bjørn André Bredesen-Aa (13767126)

    Published 2022
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  2. 102
    Online Resource 3: Word Cloud Dataset and Code

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

    Published 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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  3. 103
    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 by Zahir Barahmand (18008947)

    Published 2025
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  4. 104
    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 by Philipp Rehner (9404883)

    Published 2023
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  5. 105
    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;... by Xuzhen He (14676114)

    Published 2023
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  6. 106
    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. by Mehmet Akdel (11507114)

    Published 2021
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  7. 107
    Benchmarked bandwidth.

    Benchmarked bandwidth. by Xuzhen He (14676114)

    Published 2023
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  8. 108
    Information of the tested CPU platforms.

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

    Published 2023
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  9. 109
    Boundary-value problems and solutions for the examined numerical models.

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

    Published 2023
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  10. 110
    Architecture of accelerated linear algebra (XLA) compiler.

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

    Published 2023
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  11. 111
    Maximal effective bandwidth of various vector operations.

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

    Published 2023
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  12. 112
    Memory access pattern and bandwidth.

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

    Published 2023
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  13. 113
    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... by Xuzhen He (14676114)

    Published 2023
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  14. 114
    Array, neighbourhood and representation of neighbouring elements.

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

    Published 2023
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  15. 115
    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;... by Xuzhen He (14676114)

    Published 2023
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  16. 116
    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 =... by Xuzhen He (14676114)

    Published 2023
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  17. 117
    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). by Xuzhen He (14676114)

    Published 2023
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  18. 118
    The examined operations.

    The examined operations. by Xuzhen He (14676114)

    Published 2023
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  19. 119
    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... by Xuzhen He (14676114)

    Published 2023
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  20. 120
    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... by Xuzhen He (14676114)

    Published 2023
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