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Showing 81 - 100 results of 1,283 for search '(( problem using python ) OR ( ((programaeed OR programme) OR programs) using python ))*', query time: 0.70s Refine Results
  1. 81
    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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  2. 82
    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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  3. 83
    Pseudocodes for the operations.

    Pseudocodes for the operations. by Xuzhen He (14676114)

    Published 2023
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  4. 84
    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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  5. 85
    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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  6. 86
    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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  7. 87
    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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  8. 88
    Information of the tested GPU platforms.

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

    Published 2023
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  9. 89
    Optimal implementation of matrix operations on the CPU platform (double precision; solid black line = benchmarked bandwidth; lines + symbols = effective bandwidth; black = COPY2D; red = XPXPY20_2D; filled circles = <i>OpenMP parallel for</i> with cached access; hollow triangles = <i>OpenMP parallel for</i> with uncached access; filled diamonds = optimal implementation for corresponding vector operations; filled squares = XLA).

    Optimal implementation of matrix operations on the CPU platform (double precision; solid black line = benchmarked bandwidth; lines + symbols = effective bandwidth; black = COPY2D;... by Xuzhen He (14676114)

    Published 2023
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  10. 90
    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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  11. 91
    S1 Data -

    S1 Data - by Xuzhen He (14676114)

    Published 2023
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  12. 92
    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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  13. 93
    Computational time (s) required to complete STRUCTURE and NEWHYBRIDS analyses in series compared to in parallel using EasyParallel, Structure_threader, and Parallelnewhybrid.

    Computational time (s) required to complete STRUCTURE and NEWHYBRIDS analyses in series compared to in parallel using EasyParallel, Structure_threader, and Parallelnewhybrid. by Honggang Zhao (7007438)

    Published 2020
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  14. 94
    PyRTFuzz: Detecting Bugs in Python Runtimes via Two-Level Collaborative Fuzzing

    PyRTFuzz: Detecting Bugs in Python Runtimes via Two-Level Collaborative Fuzzing by Wen Li (9306968)

    Published 2023
    “…<a href="https://github.com/awen-li/PyRTFuzz#pyrtfuzz" target="_blank">PyRTFuzz</a><p dir="ltr">Detecting Bugs in Python Runtimes via Two-Level Collaborative Fuzzing</p><p dir="ltr">Useable docker image for PyRTFuzz: <code>docker pull daybreak2019/pyrtfuzz:v1.0 </code>Use the <code>. build.sh</code> to build the whole program.…”
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  15. 95
    Python files

    Python files by Eliseo Clementini (16483185)

    Published 2023
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  16. 96
    Overview of workflow pipeline using ColiCoords.

    Overview of workflow pipeline using ColiCoords. by Jochem H. Smit (1342245)

    Published 2019
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  17. 97
    Using literate programming to A) Simulate a gel with one line of code and B) Run the gel with the amplicons.

    Using literate programming to A) Simulate a gel with one line of code and B) Run the gel with the amplicons. by Søren D. Petersen (18127584)

    Published 2024
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  18. 98
    Who has ears, listen: Citizen Listening Program for disease prevention.

    Who has ears, listen: Citizen Listening Program for disease prevention. by Ramiro García Pereira (2836310)

    Published 2022
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  19. 99
    Local Administrative Unit (LAU) Extraction

    Local Administrative Unit (LAU) Extraction by aimhdhgroup (17986585)

    Published 2024
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  20. 100
    Table_1_An application programming interface implementing Bayesian approaches for evaluating effect of time-varying treatment with R and Python.pdf

    Table_1_An application programming interface implementing Bayesian approaches for evaluating effect of time-varying treatment with R and Python.pdf by Chen Chen (6544)

    Published 2023
    “…The examples demonstrate the use of the API calling from R and Python, for handling both non-adaptive or adaptive treatments, with presences of partially observed or missing data issues. …”
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