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gpu computing toolbox jacket v2 0  (MathWorks Inc)


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    MathWorks Inc gpu computing toolbox jacket v2 0
    Gpu Computing Toolbox Jacket V2 0, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 95/100, based on 383 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/matlab+gpu+coder/Parallel+Computing+Toolbox/pmc04364976-44-21-20
    Average 95 stars, based on 383 article reviews
    gpu computing toolbox jacket v2 0 - by Bioz Stars, 2026-09
    95/100 stars

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    other:

    Article Title: The geometry of pMHC‐coated nanoparticles and T‐cell receptor clusters governs the sensitivity‐specificity trade‐off in T‐cell response: a modeling investigation
    Article Snippet: Trials were run in parallel by means of the Parallel Computing Toolbox available in MATLAB, using servers from Compute Canada.

    Article Title: Deep computational photoacoustic mesoscopy through heterogeneous tissues enabled by scanning compensation and angular-spectrum enhancement
    Article Snippet: The DWAS-SAFT was implemented in MATLAB 2021a (Parallel Computing Toolbox) on a workstation equipped with an AMD Ryzen 5600 G CPU and 64 GB RAM.

    Article Title: A hybrid spiking convolutional neural framework with extreme learning machine for enhanced anomaly detection in network security.
    Article Snippet: The Neural Network Toolbox, Signal Processing Toolbox, and Parallel Computing Toolbox were used in MATLAB R2023b to carry out each experiment.

    Article Title: An Integrated Analysis of GLP-1R Agonist Mechanisms: Addressing Study Variations in Heterogeneous Cell Systems
    Article Snippet: The parameter estimation was done with 16 parallel workers (MATLAB Parallel Computing Toolbox) with a stopping criteria defined with max stall iterations (700), and a function tolerance (10 -5 ).

    Article Title: Diverse communities promote the coexistence of closely-related strains through emergent equalization and stabilization
    Article Snippet: Correlation coefficients: The correlation between α and β strain abundances was computed both across all strain pairs and restricted to coexisting pairs, using the standard formula: Lastly, simulations were parallelized across asymmetry parameter values (i.e., λ ) using MATLAB’s Parallel Computing Toolbox (parfor), with each worker independently generating interaction matrices, integrating the dynamical system, and computing summary statistics for a given λ value.

    Article Title: Protocol for identifying and comparing neuronal ensembles using different algorithms within a graphical user interface
    Article Snippet: MATLAB Parallel Computing Toolbox , MathWorks , https://www.mathworks.com/products/parallel-computing.html.

    Construct:

    Article Title: Parameter Selection in Coupled Dynamical Systems for Tomographic Image Reconstruction.
    Article Snippet: .. The objective function 1K ∑ K k=1 d(·) was evaluated in parallel for k = 1, 2, . . . , K using the parfor construct in MATLAB’s Parallel Computing Toolbox to accelerate computation. ..



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    Hardware and software specification for model reproducibility.

    Journal: PLOS Computational Biology

    Article Title: Coupling and heterogeneity modulate pacemaking capability in healthy and diseased two-dimensional sinoatrial node tissue models

    doi: 10.1371/journal.pcbi.1010098

    Figure Lengend Snippet: Hardware and software specification for model reproducibility.

    Article Snippet: Simulation , MATLAB R2019b; MATLAB GPU coder , Simulation , MATLAB R2020a; CUDA 8.0; Visual Studio 2015.

    Techniques: Software

    Hardware and software specification for model reproducibility.

    Journal: PLOS Computational Biology

    Article Title: Coupling and heterogeneity modulate pacemaking capability in healthy and diseased two-dimensional sinoatrial node tissue models

    doi: 10.1371/journal.pcbi.1010098

    Figure Lengend Snippet: Hardware and software specification for model reproducibility.

    Article Snippet: Simulation , MATLAB R2019b; MATLAB GPU coder , Simulation , MATLAB R2020a; CUDA 8.0; Visual Studio 2015.

    Techniques: Software