GPU SOFTWARE AND ARCHITECTURE COMPARISONS FOR NUMERICAL SIMULATION OF PARTIAL DIFFERENTIAL EQUATIONS
TASK Quarterly, 2018 This paper will show a comparison between the Kepler, Maxwell and Pascal GPU architectures using CUDA-Fortran, with and without dynamic calls, to efficiently solve partial differential equations. The target is to show the possibility of using affordable
JON B. MAY, DONATO PERA
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OpenCL-accelerated first-principles calculations of all-electron quantum perturbations on HPC resources. [PDF]
Front Chem, 2023 Wu Z +8 more
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Computación de Alto Desempeño en GPU (High Performance Computing in GPU)
Journal of Computer Science and Technology, 2012 Through this textbook (written in Spanish), the author introduces the GPU as a parallel computer that is able to solve general-propose problems. The book has a didactic approach, it includes the first steps to CUDA programming, some tips to take account ...
María Fabiana Piccoli
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Locality-Based Cache Management and Warp Scheduling for Reducing Cache Contention in GPU. [PDF]
Micromachines (Basel), 2021 Fang J, Wei Z, Yang H.
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Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism. [PDF]
Front Neuroinform, 2021 Goicovich I +7 more
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Jungfraujoch: hardware-accelerated data-acquisition system for kilohertz pixel-array X-ray detectors. [PDF]
J Synchrotron Radiat, 2023 Leonarski F +10 more
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NK-GPGPU A GPGPU model for nested kernels [PDF]
Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017), 2017 Xilong Che, Liang Hu, QianLi Xing
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Підходи до формалізації проектування застосувань в технології GPGPU
Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï, 2014 Обґрунтовано необхідність створення формалізованих методів проектування алгоритмів, їх програмних реалізацій та дослідження тонкої інформаційної структури програм для систем з масовим паралелізмом, які містять відеоадаптери. Запропоновано та обґрунтовано
S. D. Pogorilyy +2 more
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ALTIS: Modernizing GPGPU Benchmarking
, 2019 ISPASS 2020.
Hu, Bodun, Rossbach, Christopher J.
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High-Performance Image Acquisition and Processing for Stereoscopic Diagnostic Systems with the Application of Graphical Processing Units. [PDF]
Sensors (Basel), 2022 Perek P, Mielczarek A, Makowski D.
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