PADME - a new code for modeling planet georesources formation on heterogeneous computing systems by Viktor Protasov, Igor Kulikov

“…The aim of the study is to develop a new method for modeling planet formation in 3D2V formulation based on two-phase approach, adapted for using in heterogeneous computing systems equipped with graphics accelerators supporting NVIDIA CUDA technology. The methods of the study. Fluids-in-cells method of Belotserkovskii-Davydov, modified with using the Godunov method, is used to model the gas component. …”
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Las reducciones paralelas en RenderScript by Jesús Antonio Álvarez Cedillo, Juan Carlos Herrera Lozada, Francisco Rafael Suarez Ruiz

“…RenderScript es una plataforma para la computación heterogénea que difiere en la codificación y la abstracción del problema con otras plataformas que actualmente se utilizan como OpenCL y CUDA; sin embargo, este nuevo paradigma de paralelización no tiene estrategias claras para la reducción de los datos procesados. …”
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Comparison of Multiscale Imaging Methods for Brain Research by Jessica Tröger, Christian Hoischen, Birgit Perner, Shamci Monajembashi, Aurélien Barbotin, Anna Löschberger, Christian Eggeling, Michael M. Kessels, Britta Qualmann, Peter Hemmerich

“…We also analyzed the impact of adaptive optics, a motorized objective correction collar and CUDA graphics card technology on imaging quality and acquisition speed. …”
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Errors Classification and Static Detection Techniques for Dual-Programming Model (OpenMP and OpenACC) by Huda Saleh Basloom, Mohamed Yehia Dahab, Ahmed Mohammed Alghamdi, Fathy Elbouraey Eassa, Abdullah Saad Al-Malaise Al-Ghamdi, Seif Haridi

“…These models include Open Accelerators (OpenACC) and Open Multi-Processing (OpenMP), which have recently been used with various models, including Message Passing Interface (MPI) and Compute Unified Device Architecture (CUDA). Due to the difficulty of predicting the behavior of threads, runtime errors cannot be predicted. …”
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SAT2LOD2: A SOFTWARE FOR AUTOMATED LOD-2 BUILDING RECONSTRUCTION FROM SATELLITE-DERIVED ORTHOPHOTO AND DIGITAL SURFACE MODEL by S. Gui, S. Gui, R. Qin, R. Qin, R. Qin, R. Qin, Y. Tang, Y. Tang

“…The software can process a moderate level of data (around 5000*5000 size of orthophoto and DSM) using a PC with a graphics card supporting CUDA. Furthermore, the GUI is self-contained and stores the intermediate processing results facilitating researchers to learn the process easily and reuse intermediate files as needed. …”
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Pênase û Taybetmendîyên Lorîyan by Mustafa Öztürk

“…Li deverên kurdan yên ji hev cuda ev cureya edebî weke lorî, lorîn, lorik tê binavkirin. …”
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An Efficient Deep-Learning-Based Detection and Classification System for Cyber-Attacks in IoT Communication Networks by Qasem Abu Al-Haija, Saleh Zein-Sabatto

“…The proposed IoT-IDCS-CNN makes use of high-performance computing that employs the robust Compute Unified Device Architectures (CUDA) based Nvidia GPUs (Graphical Processing Units) and parallel processing that employs high-speed I9-core-based Intel CPUs. …”
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Parallel Classification Pipelines for Skin Cancer Detection Exploiting Hyperspectral Imaging on Hybrid Systems by Emanuele Torti, Raquel Leon, Marco La Salvia, Giordana Florimbi, Beatriz Martinez-Vega, Himar Fabelo, Samuel Ortega, Gustavo M. Callicó, Francesco Leporati

“…The computational times of the serial processing have been reduced by adopting multicore and many-core technologies, such as OpenMP and CUDA paradigms. Different parallel approaches have been combined, leading to the development of fifteen classification pipeline versions. …”
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Utilizing Machine Learning Techniques for Worst-Case Execution Time Estimation on GPU Architectures by Vikash Kumar, Behnaz Ranjbar, Akash Kumar

“…It allows the different applications to run simultaneously in the same CUDA context by partitioning the compute resources of the GPU. …”
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Di Devokên Kurdîya Kurmancî de Zayenda Rewşên Morfolojîk (Mînakên Devokên Bakûr, Başûrê Rojhilat û Başûrê Rojavayê) by Mehmet Yonat

“…Lewra Kurmancî di nav guherîneke (an jî asîmîlasyoneke) gelek bi lez de ye, axêverên heremekê li gor emr û zayenda xwe, dibe ku heman formê cuda bikar bînin. Loma jî, axêver ji hêla emr; kal, navemrî û ciwan û ji hêla zayendê; jin û mêr ve hatine dabeşkirin. …”
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Priče s razglednica by Andrea Rožić, Jan Carson

“…Kad je bila mlađa, imala je ilustriranu Bibliju sa slikama u boji: mali debeli Isus u slami s magarcem, Isus koji izvodi čuda u svjetloplavim haljama, umirući Isus, pribijen na križ, i u verziji gdje je obavijen bijelom svjetlošću, nakon uskrsnuća. …”
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Massively parallelized GA based optimal path planning for single and dual crane lifting in complex industrial environments by Cai, Panpan

“…To solve the optimization problems, two master-slave parallel genetic algorithm based path planners are designed and developed on Graphic Processing Units (GPUs) using CUDA programming. The genetic algorithms in the planners are customized for the lifting path planning problems with their efficiency and search abilities improved. …”
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Computationally intensive methods for Hidden Markov Models with applications to statistical genetics by Kecskemethy, P

“…Practical experiments show ×200-×6000 times acceleration with a CUDA implementation of the popular Chromopainter method, which is based on the Li and Stephens model.…”

Multicore Processors and Graphics Processing Unit Accelerators for Parallel Retrieval of Aerosol Optical Depth From Satellite Data: Implementation, Performance, and Energy Efficien... by Jia Liu, Dustin Feld, Yong Xue, Jochen Garcke, Thomas Soddemann

“…The compute unified device architecture C (CUDA-C) has been used for the GPU implementation for NVIDIA’s graphic cards and open multiprocessing (OpenMP) for thread-parallelism in the multicore implementation. …”
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Graphics-processing-unit-accelerated ice flow solver for unstructured meshes using the Shallow-Shelf Approximation (FastIceFlo v1.0.1) by A. Sandip, L. Räss, L. Räss, L. Räss, M. Morlighem

“…We further compare the performance of the PT CUDA C implementation with a standard finite-element CPU-based implementation using the price-to-performance metric. …”
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An Alternate GPU-Accelerated Algorithm for Very Large Sparse LU Factorization by Jile Chen, Peimin Zhu

“…A hybrid MPI + OpenMP + CUDA algorithm named SuperLU3D can efficiently compute the LU factorization with GPU acceleration. …”
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Fast human detection with cascaded ensembles by Bilgic̦, Berkin

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Decoupling algorithms from the organization of computation for high performance image processing by Ragan-Kelley, Jonathan Millard

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Fast Reconstruction of 3D Point Cloud Model Using Visual SLAM on Embedded UAV Development Platform by Fang Huang, Hao Yang, Xicheng Tan, Shuying Peng, Jian Tao, Siyuan Peng

“…Visual monitoring to this end is also designed and implemented. (2) To solve the problem of time-consuming algorithmic processing, a corresponding parallel algorithm was designed and implemented based on the parallel programming framework of the compute unified device architecture (CUDA). (3) The visual odometer and methods of 3D “map” reconstruction were designed using under a monocular vision sensor to implement the prototype of the fast 3D reconstruction system. …”
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GPU-based optimization of pilgrim simulation for hajj and umrah rituals by Abdul Majid, Abdur Rahman Muhammad, Abdul Hamid, Nor Asilah Wati, Abdul Rahiman, Amir Rizaan, Zafar, Basim Jameel Ahmad

“…The implementation utilises CUDA (Compute Unified Device Architecture) platform for general purpose computing over GPU. …”
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