Suchergebnisse - Parallel Computing and Optimization Techniques

Multilayer perceptron architecture optimization using parallel computing techniques von Castro, Wilson, Oblitas, Jimy, Santa-Cruz, Roberto, Avila-George, Himer

“… The objective of this research was to develop a methodology for optimizing multilayer-perceptron-type neural networks by evaluating the effects of three neural …”
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Deep Learning Algorithms and Parallel Distributed Computing Techniques for High-Resolution Load Forecasting Applying Hyperparameter Optimization von Parizad, Ali, Hatziadoniu, Constantine

“… Electrical load forecasting is one of the critical tasks that helps power utility companies in planning and operation as well as the energy managementsystem …”
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Parallel optimization techniques for ultra-large scale refined numerical simulations on Chinese supercomputers von Chen, Jinshou, Yao, Wenxuan, Li, Jianjiang

“… Parallel optimization can significantly improve numerical simulation efficiency. However, limited by the complexity of the different Chinese supercomputer architectures …”
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Bounded-But-Unknown uncertainty optimization using design sensitivities and parallel computing: Application to MEMS von Gurav, S.P., Goosen, J.F.L., vanKeulen, F.

“… out. A description of uncertainties via bounds on the uncertainty variables is adopted. An anti-optimization technique, which searches for the combinations of uncertainties …”
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Optimization of short-term hydropower scheduling with dynamic reservoir capacity based on improved genetic algorithm and parallel computing von Zhang, Rongqi, Zhang, Shanghong, Wen, Xiaoxiong, Yue, Ziqi, Zhou, Yang

“… •Combination of genetic algorithm and parallel computing improves calculation speed.•Improved genetic algorithm effectively enhanced model convergence …”
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Parallel computing techniques applied to the simultaneous design of structure and material von Coelho, Pedro G., Cardoso, João B., Fernandes, Paulo R., Rodrigues, Hélder C.

“… In this work a computational procedure for two-scale topology optimization problem using parallel computing techniques is developed …”
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Efficient parameter tuning for a structure-based virtual screening HPC application von Guindani, Bruno, Gadioli, Davide, Rocco, Roberto, Ardagna, Danilo, Palermo, Gianluca

“… This paper presents two parallel autotuning techniques for constrained optimization in distributed High-Performance Computing (HPC) environments …”
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Research on Acceleration Methods for Hydrodynamic Models Integrating a Dynamic Grid System, Local Time Stepping, and GPU Parallel Computing von Ping, Yang, Xu, Hao, Song, Lixiang, Chen, Jie, Zhang, Zhenzhou, Hu, Yuying

“… At the hardware level, acceleration technologies such as GPU parallel computing can be utilized to fully exploit hardware capabilities and improve computational efficiency …”
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Cost-effective optimal design of a pump-and-treat system for remediating groundwater contaminant at an industrial complex von Park, Yu-Chul

“… MODFLOW and MT3DMS were used for simulating groundwater flow and contaminant transport. A genetic algorithm was used for optimization, and a parallel computing technique was used for faster optimization …”
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Accelerated parallel algorithm for gene network reverse engineering von He, Jing, Zhou, Zhou, Reed, Michael, Califano, Andrea

“… used. These issues can be addressed elegantly in a GPU computing framework, where repeated mathematical computation can be done efficiently, but requires extensive redesign to apply parallel computing …”
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Computational approaches to fMRI analysis von Cohen, Jonathan D, Daw, Nathaniel, Engelhardt, Barbara, Hasson, Uri, Li, Kai, Niv, Yael, Norman, Kenneth A, Pillow, Jonathan, Ramadge, Peter J, Turk-Browne, Nicholas B, Willke, Theodore L

“… A revolution is underway in cognitive neuroscience, where tools and techniques from computer science and the tech industry are helping to extract more meaningful cognitive signals from noisy …”
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A Review of High-Performance Computing and Parallel Techniques Applied to Power Systems Optimization von Al-Shafei, Ahmed, Zareipour, Hamidreza, Cao, Yankai

“… Resorting to high-performance and parallel computing approaches has become paramount. Moreover, the ambitious plans for the future grid and IoT integration make a shift towards utilizing Cloud computing inevitable …”
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Highly efficient modeling and optimization of neural fiber responses to electrical stimulation von Hussain, Minhaj A., Grill, Warren M., Pelot, Nicole A.

“… In this work, we introduce an approach for massively parallel estimation and optimization of neural fiber responses to electrical …”
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A Review of Parallel Computing for Large-scale Reservoir Numerical Simulation: A Review of Parallel Computing for Large-scale Reservoir Numerical Simulation von Meng, Xiangling, He, Xiao, Hu, Changjun, Lu, Xu, Li, Huayu

“… Parallel computing addresses this problem by distributing computational workloads and memory requirements across multiple processors …”
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Full-scale 3D structural topology optimization using adaptive mesh refinement based on the level-set method von Li, Hao, Yamada, Takayuki, Jolivet, Pierre, Furuta, Kozo, Kondoh, Tsuguo, Izui, Kazuhiro, Nishiwaki, Shinji

“… (TO). This can be achieved by properly combining parallel computing and mesh adaption techniques by adopting a reaction–diffusion equation (RDE …”
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A multi-objective model for the day-ahead energy resource scheduling of a smart grid with high penetration of sensitive loads von Soares, João, Fotouhi Ghazvini, Mohammad Ali, Vale, Zita, de Moura Oliveira, P.B.

“… •Two-stage weighted sum approach using distributed and parallel computing. In this paper, a multi-objective framework is proposed for the daily operation of a Smart Grid (SG …”
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Heterogeneous computing with OpenCL von Gaster, Benedict, Howes, Lee, Kaeli, David R., Mistry, Perhaad, Schaa, Dana

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Design and Analysis of Low Power Reversible Majority Logic-Based Adder/Subtractor Circuits with Parallel Computing Optimization von Potharaju, Vidya Sagar, Saminadan, V.

“… Additionally, the design incorporates parallel computing optimization techniques, enabling high-speed arithmetic …”
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An object-oriented MATLAB toolbox for automotive body conceptual design using distributed parallel optimization von Qin, Huan, Liu, Zijian, Liu, Yu, Zhong, Haolong

“… •Distributed parallel computing technique is adopted to speed up the optimization up to 5.46 times with 8 cores in two desktops …”
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Leveraging parallel spatio-temporal computing for crime analysis in large datasets: analyzing trends in near-repeat phenomenon of crime in cities von Ajayakumar, Jayakrishnan, Shook, Eric

“… Near-repeat analysis requires extensive computing resources for the assessment of statistical significance of space-time interactions …”
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