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Showing 161 - 180 results of 887 for search '(( ((python model) OR (python code)) implementation ) OR ( python bars represent ))', query time: 0.63s Refine Results
  1. 161
    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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  2. 162
    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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  3. 163
    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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  4. 164
    The examined operations.

    The examined operations. by Xuzhen He (14676114)

    Published 2023
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  5. 165
    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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  6. 166
    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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  7. 167
    Pseudocodes for the operations.

    Pseudocodes for the operations. by Xuzhen He (14676114)

    Published 2023
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  8. 168
    Optimal implementation of HEAT1D on the CPU platform (double precision; solid black line = benchmarked bandwidth; lines + symbols = effective bandwidth; red = COPY1D; black = HEAT1D; 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 with slice and concatenation; hollow diamonds = XLA with convolution; hollow pentagons = XLA with roll).

    Optimal implementation of HEAT1D on the CPU platform (double precision; solid black line = benchmarked bandwidth; lines + symbols = effective bandwidth; red = COPY1D; black = HEAT1... by Xuzhen He (14676114)

    Published 2023
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  9. 169
    Architecture of the CPU and GPU computing platforms.

    Architecture of the CPU and GPU computing platforms. by Xuzhen He (14676114)

    Published 2023
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  10. 170
    Optimal implementation of HEAT2D and NS2D on the CPU platform (double precision; solid black line = benchmarked bandwidth; lines + symbols = effective bandwidth; black = HEAT2D; red = NS2D; filled circles = <i>OpenMP parallel for</i> with cached access; hollow triangles = <i>OpenMP parallel for</i> with uncached access; 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 CPU 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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  11. 171
    Information of the tested GPU platforms.

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

    Published 2023
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  12. 172
    Optimal implementation of HEAT1D on the GPU platform (double precision; solid black line = benchmarked bandwidth; lines + symbols = effective bandwidth; red = VEC COPY; black = HEAT1D; 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 HEAT1D on the GPU platform (double precision; solid black line = benchmarked bandwidth; lines + symbols = effective bandwidth; red = VEC COPY; black = HEA... by Xuzhen He (14676114)

    Published 2023
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  13. 173
    S1 Data -

    S1 Data - by Xuzhen He (14676114)

    Published 2023
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  14. 174
    Relative efficiency of XLA for numerical models (hollow = f64; filled = f32; circles = HEAT1D; triangles = HEAT2D; squares = NS2D; black = PC CPU; red = PC GPU; blue = HPC CPU; magenta = HPC GPU).

    Relative efficiency of XLA for numerical models (hollow = f64; filled = f32; circles = HEAT1D; triangles = HEAT2D; squares = NS2D; black = PC CPU; red = PC GPU; blue = HPC CPU; mag... by Xuzhen He (14676114)

    Published 2023
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  15. 175
    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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  16. 176
    Presentation3_Serial Electron Diffraction Data Processing With diffractem and CrystFEL.PDF

    Presentation3_Serial Electron Diffraction Data Processing With diffractem and CrystFEL.PDF by Robert Bücker (10825188)

    Published 2021
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  17. 177
    Presentation1_Serial Electron Diffraction Data Processing With diffractem and CrystFEL.PDF

    Presentation1_Serial Electron Diffraction Data Processing With diffractem and CrystFEL.PDF by Robert Bücker (10825188)

    Published 2021
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  18. 178
    Presentation2_Serial Electron Diffraction Data Processing With diffractem and CrystFEL.PDF

    Presentation2_Serial Electron Diffraction Data Processing With diffractem and CrystFEL.PDF by Robert Bücker (10825188)

    Published 2021
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  19. 179
    Presentation4_Serial Electron Diffraction Data Processing With diffractem and CrystFEL.PDF

    Presentation4_Serial Electron Diffraction Data Processing With diffractem and CrystFEL.PDF by Robert Bücker (10825188)

    Published 2021
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  20. 180
    Python script for binary classification with RoBERTa

    Python script for binary classification with RoBERTa by Maija Ozola-Schade (20938460)

    Published 2025
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