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Showing 121 - 140 results of 631 for search '(( ((python tool) OR (python code)) implementation ) OR ( python bars represent ))', query time: 0.53s Refine Results
  1. 121
    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. 122
    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. 123
    Pseudocodes for the operations.

    Pseudocodes for the operations. by Xuzhen He (14676114)

    Published 2023
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  4. 124
    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. 125
    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. 126
    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. 127
    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. 128
    Information of the tested GPU platforms.

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

    Published 2023
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  9. 129
    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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  10. 130
    S1 Data -

    S1 Data - by Xuzhen He (14676114)

    Published 2023
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  11. 131
    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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  12. 132
    A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data

    A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data by Anthony S. Barente (14035175)

    Published 2022
    “…Here we describe pyAscore, an efficient and versatile implementation of the Ascore algorithm in Python for scoring the localization of user defined PTMs in data dependent mass spectrometry. pyAscore can be used from the command line or imported into Python scripts and accepts standard file formats from popular software tools used in bottom-up proteomics. …”
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  13. 133
    OPTIMIZED DETERMINATION OF 3D COORDINATES IN THE SURVEY OF INACCESSIBLE POINTS OF BUILDINGS - EXAMPLE OF APPLICATION IMPLEMENTED IN FREE SOFTWARE

    OPTIMIZED DETERMINATION OF 3D COORDINATES IN THE SURVEY OF INACCESSIBLE POINTS OF BUILDINGS - EXAMPLE OF APPLICATION IMPLEMENTED IN FREE SOFTWARE by Leandro Luiz Silva de França (6625883)

    Published 2022
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  14. 134
    Global Aridity Index and Potential Evapotranspiration Climate Database v3.1 - Algorithm Code (Python)

    Global Aridity Index and Potential Evapotranspiration Climate Database v3.1 - Algorithm Code (Python) by Robert Zomer (12796235)

    Published 2025
    “…<p dir="ltr">The custom code in Python programming language used to develop the <b>Global Aridity Index and Potential Evapotranspiration (ET0) Climate Database v3.…”
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  15. 135
    PyRates—A Python framework for rate-based neural simulations

    PyRates—A Python framework for rate-based neural simulations by Richard Gast (8129451)

    Published 2019
    “…A basic requirement for computational modeling studies is the availability of efficient software for setting up models and performing numerical simulations. While many such tools exist for different families of neural models, there is a lack of tools allowing for both a generic model definition and efficiently parallelized simulations. …”
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  16. 136
    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
    “…Introduction<p>Methods and tools evaluating treatment effect have been primarily developed for binary type of treatment. …”
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  17. 137
    PySHS: Python Open Source Software for Second Harmonic Scattering

    PySHS: Python Open Source Software for Second Harmonic Scattering by Lotfi Boudjema (4177942)

    Published 2020
    “…The PySHS package is a new python open source software tool which simulates the second harmonic scattering (SHS) of different kinds of colloidal nano-objects in various experimental configurations. …”
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  18. 138
    Parallel scalable simulations of biological neural networks using TensorFlow: A beginner's guide

    Parallel scalable simulations of biological neural networks using TensorFlow: A beginner's guide by Rishika Mohanta (7327013)

    Published 2022
    “…TensorFlow is a Python-based open-source package designed for machine learning algorithms. …”
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  19. 139
    Numerical data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability"

    Numerical data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability" by Tian-Ren Jin (18781930)

    Published 2025
    “…<p dir="ltr">This data set contains the data and codes for "Noisy Probabilistic Error Cancellation and Generalized Physical Implementability". …”
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  20. 140
    Table_2_XCast: A python climate forecasting toolkit.docx

    Table_2_XCast: A python climate forecasting toolkit.docx by Kyle Joseph Chen Hall (13049001)

    Published 2022
    “…Heavy data preprocessing is needed: gridded data must be aggregated, reshaped, or reduced in dimensionality in order to fit the strict formatting requirements of Python's data science tools. Efficiently implementing this gridpoint-wise workflow is a time-consuming logistical burden which presents a high barrier to entry to earth data science. …”
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