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Showing 21 - 40 results of 624 for search '(( ((python code) OR (python tool)) implementation ) OR ( python consider implementing ))*', query time: 0.26s Refine Results
  1. 21
    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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  2. 22
    Architecture of accelerated linear algebra (XLA) compiler.

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

    Published 2023
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  3. 23
    Maximal effective bandwidth of various vector operations.

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

    Published 2023
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  4. 24
    Memory access pattern and bandwidth.

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

    Published 2023
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  5. 25
    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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  6. 26
    Array, neighbourhood and representation of neighbouring elements.

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

    Published 2023
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  7. 27
    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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  8. 28
    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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  9. 29
    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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  10. 30
    The examined operations.

    The examined operations. by Xuzhen He (14676114)

    Published 2023
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  11. 31
    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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  12. 32
    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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  13. 33
    Pseudocodes for the operations.

    Pseudocodes for the operations. by Xuzhen He (14676114)

    Published 2023
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  14. 34
    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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  15. 35
    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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  16. 36
    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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  17. 37
    Model for the effective bandwidth of element-wise operations (lines = model prediction by Eq 11; symbols = measured maximal effective bandwidth; filled symbols = matrix operations; hollow symbols = vector operations; circles = CPU; triangles = GPU; black = medium f64; red = medium f32; blue = large f64; magenta = large f32).

    Model for the effective bandwidth of element-wise operations (lines = model prediction by Eq 11; symbols = measured maximal effective bandwidth; filled symbols = matrix operations;... by Xuzhen He (14676114)

    Published 2023
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  18. 38
    Information of the tested GPU platforms.

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

    Published 2023
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  19. 39
    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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  20. 40
    S1 Data -

    S1 Data - by Xuzhen He (14676114)

    Published 2023
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