Showing 1 - 20 results of 588 for search '"CUDA"', query time: 0.08s Refine Results
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    GPU implementation using CUDA by Tajdari, Teimour

    Published 2009
    “…We Implement the algorithms on GPU GeForce GTX 295 in CUDA platform at Visual C++ Host compiler, the results show 7X speedup when the same kernels running on CPU Phentom™ II X4 2.6GHz.…”
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    Thesis
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    CUDAS: Distortion-Aware Saliency Benchmark by Xin Zhao, Jianxun Lou, Xinbo Wu, Yingying Wu, Lucie Leveque, Xiaochang Liu, Pengfei Guo, Yipeng Qin, Hanhe Lin, Dietmar Saupe, Hantao Liu

    Published 2023-01-01
    “…In this paper, we first present the CUDAS database - a new distortion-aware saliency benchmark, where eye-tracking data was collected for 60 pristine images and their corresponding 540 distorted formats. …”
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    Article
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    CUDA simulations of active dumbbell suspensions by Putz, V, Dunkel, J, Yeomans, J

    Published 2010
    “…We describe and analyze CUDA simulations of hydrodynamic interactions in active dumbbell suspensions. …”
    Journal article
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    Accelerating Polyhedral Discrete Element Method with CUDA by Tongge Wen, Xiangyuan Zeng

    Published 2023-01-01
    “…This paper presents an efficient CUDA-based implementation of a nonspherical discrete element method where irregular particles are described by using polyhedrons. …”
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    Article
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    FCUDA : CUDA to FPGA high level synthesis by Nguyen, Quoc Duy Tan

    Published 2015
    “…This paper serves as a record of debugging the existing CUDA-to-FPGA tool flow (FCUDA) with various benchmarks in order to improve its robustness and efficiency. …”
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    Student Research Paper
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    Parallel programming with CUDA for simulation of biochemical pathways by Anugerah Erlaut

    Published 2013
    “…A program was written in CUDA C/C++ as a proof of concept. The program was tested using a glycolysis model described in another paper. …”
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    Final Year Project (FYP)
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    Fast parallel volume visualization on cuda technology by Adekunle Micheal, Adeshina

    Published 2013
    “…This study proposed, designed and implemented a visualization framework named SurLens with high performance computing using Compute Unified Device Architecture (CUDA), augmenting the widely proven ray casting technique in terms of superior qualities of images but with slow speed. …”
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    Thesis
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