Tower crane lifting by Loh, Weisong

“…In order to optimized the use of a tower crane and come up with a cost effective way and optimized the use of a tower crane, a Master–Slave Parallel Genetic Algorithm and implement the algorithm on Graphics Processing Units using CUDA programming is developed to calculate a lifting path plan. …”
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Accelerating fibre orientation estimation from diffusion weighted magnetic resonance imaging using GPUs by Hernández, M, Guerrero, G, Cecilia, J, García, J, Inuggi, A, Jbabdi, S, Behrens, T, Sotiropoulos, SN

“…For our implementation, we utilise the Compute Unified Device Architecture (CUDA) programming model. We show that the parameter estimation, performed through Markov Chain Monte Carlo (MCMC), is accelerated by at least two orders of magnitude, when comparing a single GPU with the respective sequential single-core CPU version. …”

Peak Scores Significantly Depend on the Relationships between Contextual Signals in ChIP-Seq Peaks by Oleg V. Vishnevsky, Andrey V. Bocharnikov, Elena V. Ignatieva

“…We assessed the dependence of the ChIP-seq peak score on the presence of different contextual signals in the peak sequences by analyzing these sequences from several ChIP-seq experiments using our fully enumerative GPU-based de novo motif discovery method, Argo_CUDA. Analysis revealed sets of significant IUPAC motifs corresponding to the binding sites of the target and partner transcription factors. …”
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Identification of Non-Stationary Objects Based on Training a Neural Network and Tuning the Parameters of a Generalized Model by Jumanov Isroil, Kholmonov Sunatillo

“…A software package for identifying random time series in the C++ language in the CUDA parallel computing environment has been developed to predict the annual power consumption of the industrial zone of the Samarkand region using software tools for data preprocessing, filtering, smoothing; determining the boundaries of the informative interval of time series elements.…”
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Fast Endmember Extraction for Massive Hyperspectral Sensor Data on GPUs by Zebin Wu, Shun Ye, Jie Wei, Zhihui Wei, Le Sun, Jianjun Liu

“…The implements of the proposed method are described and evaluated using compute unified device architecture (CUDA) based on NVIDA Quadra 600 and Telsa C2050. …”
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CONJUGATE HEAT TRANSFER COMPUTATIONS VIA LATTICE BOLTZMANN METHOD by Gregorio Gerardo Spinelli, Bayram Çelik

“…Both solvers were coded using parallel computing platform and programing model of NVIDIA, Compute Unified Device Architecture (CUDA). The thermal solver was tested first for the problems of conduction in solid, then conjugate heat transfer problems were solved using the fluid and thermal solvers in conjunction. …”
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Spatial Data Sequence Selection Based on a User-Defined Condition Using GPGPU by Driss En-Nejjary, François Pinet, Myoung-Ah Kang

“…Our aim is to speed up the execution using parallel primitives and pure CUDA. Furthermore, we propose a new method based on a sorting step to save computations and boost the speed of the query execution. …”
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A Three-dimensional Imaging Algorithm Fusion with w-K and BP Algorithm for Millimeter-wave Cylindrical Scanning by Xie Pengfei, Zhang Lei, Wu Zhenhua

“…Besides, the proposed method could realize the fast and accurate 3D human imaging by CUDA platform and be applicable to the nonideal cylindrical scanning 3D imaging scenarios.…”
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Nirxandina Helbestên Zarokan ên Kurdî li Gorî “Rastîya Zarokan” û “Îzafîyeta Zarokan” by Kenan Subaşı

“…Ji ber ku zarok xwedî kesayeteke cuda û xweser e, nivîskarê edebiyata zarokan di hunera xwe de mecbûr e vê cudabûn û xweseriya zarokan bigire ber çavan. …”
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Turbomachinery GPU Accelerated CFD: An Insight into Performance by Daniel Molinero-Hernández, Sergio R. Galván-González, Nicolás D. Herrera-Sandoval, Pablo Guzman-Avalos, J. Jesús Pacheco-Ibarra, Francisco J. Domínguez-Mota

“…Two Compute Unified Device Architecture (CUDA)-based implementations within the Open Field Operation and Manipulation (OpenFOAM) environment were employed for the numerical solution of a 3D Kaplan turbine draft tube workbench. …”
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An Efficient WSN Simulator for GPU-Based Node Performance by An Na Kang, Hyun-Woo Kim, Leonard Barolli, Young-Sik Jeong

“…The PCSIS supports the GPU mode in an environment that allows the operation of compute unified device architecture (CUDA) and performs the parallel simulation calculation of multiple sensors using the mode within a short period of time.…”
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Large-Scale Data Computing Performance Comparisons on SYCL Heterogeneous Parallel Processing Layer Implementations by Woosuk Shin, Kwan-Hee Yoo, Nakhoon Baek

“…To perform parallel tasks, platforms like CUDA (Compute Unified Device Architecture) and OpenCL (Open Computing Language) are widely used and developed to enhance the throughput of massively parallel tasks. …”
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Acceleration of Hyperspectral Skin Cancer Image Classification through Parallel Machine-Learning Methods by Bernardo Petracchi, Emanuele Torti, Elisa Marenzi, Francesco Leporati

“…In this paper, we take up this challenge by parallelizing three machine-learning methods among those that are the most intensively used: Support Vector Machine (SVM), Random Forest (RF), and eXtreme Gradient Boosting (XGB) algorithms using the Compute Unified Device Architecture (CUDA) to accelerate the classification of hyperspectral skin cancer images. …”
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Gene Expression Analysis through Parallel Non-Negative Matrix Factorization by Angelica Alejandra Serrano-Rubio, Guillermo B. Morales-Luna, Amilcar Meneses-Viveros

“…We propose a clustering algorithm based on Non-negative Matrix Factorization and K-means to reduce data dimensionality but whilst preserving the biological context and prioritizing gene selection, and it is implemented within parallel GPU-based environments through the CUDA library. A well-known dataset is used in our tests and the quality of the results is measured through the Rand and Accuracy Index. …”
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MalDroid: Secure DL‐enabled intelligent malware detection framework by Ikram Ul Haq, Tamim Ahmed Khan, Adnan Akhunzada, Xuan Liu

“…A novel and highly proficient Cuda‐enabled multi‐class malware threat detection and identification Deep Learning (DL)‐driven mechanism that leverages ConvLSTM2D and CNN has been proposed. …”
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YOLOv4 and Tiny YOLOv4 Based Forage Crop Detection with an Artificial Intelligence Board by Abdullah Beyaz, Veysel Gül

“…This research establishes a standard for real-time recognition of forage crops based on current technology at NVIDIA Jetson TX2 due to its high performance and low power consumption and a high-performance computer with CUDA support.…”
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Optimization and scheduling of applications in a heterogeneous CPU-GPU environment by Karan Rajendra Shetti

“…With the emergence of General Purpose computation on GPU (GPGPU) and corresponding programming frameworks (OpenCL, CUDA), more applications are being ported to use GPUs as a co-processor to achieve performance that could not be accomplished using just the traditional processors. …”
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Performance evaluation of jacobi iterative method in solving diagonally dominant linear system using OpenACC by Hazmi Wahab, Muhammad Hafizul, Abdul Hamid, Nor Asilah Wati

“…Therefore, by parallelising Jacobi Iterative Method using OpenACC, we are able to review and compare OpenACC’s capabilities in accelerating Jacobi Iterative Method using compiler directives approach as opposed to CUDA’s approach. Moreover, we implemented OpenACC in two distinctive domains, where the first domain is on manycore environment with a testbed hardware of Nvidia GeForce GTX 980 and the second domain is on multicore environment where 4 CPU(s) of AMD Opteron 6272 chips are clustered on a single machine with a total of 64 cores. …”

Performance study of parallel implementation of texture images using GLCM by Esa, Salamiah

“…The components of texture images and some of the factors relating to the efficiency of CUDA code are described. The problem domain was analysed and a serial version of texture window analysis was implemented and checked for accuracy by comparing it to code written in Matlab. …”
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Development of a specialized software complex for modeling the biogeochemical cycles in the Azov sea, including calculation modules of transformation of phosphorus, nitrogen, silic... by Nikitina Alla, Filinа Alyona, Litvinov Vladimir, Atayan Asya

“…To increase the calculation efficiency of computational grid fragments assigned to graphics accelerators, an algorithm and its software implementation were developed in the CUDA C language. Based on the developed specialized software tools focused on supercomputers, scenarios for the development of the environmental situation and sustainable development management at biological rehabilitation of the Azov Sea were developed, including forecasts of changes in harmful algae concentration; dynamics of spatial interaction processes between phyto- and zooplankton populations; evolution of biological kinetics processes on the example of plankton interaction.…”
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