Suchergebnisse - "Parallel processing"

Corrections to “Fast and Precise: Parallel Processing of Vehicle Traffic Videos Using Big Data Analytics” von Perafan-Villota, Juan C, Mondragon, Oscar H, Mayor-Toro, Walter M

“… In the above article [1] , the Abstract is incorrect. It should read as follows: …”
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TC Chair Highlight: Anne Benoit of the Technical Community on Parallel Processing (TCPP)

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Parallel Scientific Computing von Frédéric Magoules, François-Xavier Roux, Guillaume Houzeaux

“… Scientific computing has become an indispensable tool in numerous fields, such as physics, mechanics, biology, finance and industry. For example, it enables …”
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Efficient evaluation of electrostatic potential with computerized optimized code von Zhang, Jun, Lu, Tian

“… The evaluation of molecular electrostatic potential (ESP) is a performance bottleneck for many computational chemical tasks like restrained ESP charge fitting …”
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Multi-stage planning and calculation method of power system considering energy storage selection von Yang, Guoshan, Liu, Xumin, Zhang, Wei, Ma, Zhengxiong

“… Under new power system flexibility, this text proposes a multi-stage random generation-transmission-energy storage, integrated programming method that …”
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WIEN2k: An APW+lo program for calculating the properties of solids von Blaha, Peter, Schwarz, Karlheinz, Tran, Fabien, Laskowski, Robert, Madsen, Georg K H, Marks, Laurence D

“… The WIEN2k program is based on the augmented plane wave plus local orbitals (APW+lo) method to solve the Kohn-Sham equations of density functional theory. The …”
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Nested sampling with normalizing flows for gravitational-wave inference von Williams, Michael J., Veitch, John, Messenger, Chris

“… We present a novel method for sampling iso-likelihood contours in nested sampling using a type of machine learning algorithm known as normalizing flows and …”
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Cloud Computing: Opportunities and Challenges von Sadiku, Matthew N. O., Musa, Sarhan M., Momoh, Omonowo D.

“… We live and operate in the world of computing and computers. The Internet has drastically changed the computing world from the concept of parallel computing to …”
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The computational dynamics of shape orientation perception von Houbben, M., Vannuscorps, G.

“… How does the brain transform retinal information into representations of oriented objects? The most comprehensive computational explanation to date - the …”
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Heterogeneous parallelization and acceleration of molecular dynamics simulations in GROMACS von Páll, Szilárd, Zhmurov, Artem, Bauer, Paul, Abraham, Mark, Lundborg, Magnus, Gray, Alan, Hess, Berk, Lindahl, Erik

“… The introduction of accelerator devices such as graphics processing units (GPUs) has had profound impact on molecular dynamics simulations and has enabled …”
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3D Nanolithography via Holographic Multi‐Focus Metalens (Laser Photonics Rev. 18(11)/2024) von Wang, Xinger, Fan, Xuhao, Liu, Yuncheng, Xu, Ke, Zhou, Yining, Zhang, Zexu, Chen, Fayu, Yu, Xuan, Deng, Leimin, Gao, Hui, Xiong, Wei

“… 3D Nanolithography via Holographic Multi‐Focus Metalens In article number 2400181, Xinger Wang, Hui Gao, Wei Xiong, and co‐workers propose a metasurface‐based …”
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polychord: next-generation nested sampling von Handley, W. J., Hobson, M. P., Lasenby, A. N.

“… polychord is a novel nested sampling algorithm tailored for high-dimensional parameter spaces. This paper coincides with the release of polychord v1.6, and …”
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The MRCC program system: Accurate quantum chemistry from water to proteins von Kállay, Mihály, Nagy, Péter R, Mester, Dávid, Rolik, Zoltán, Samu, Gyula, Csontos, József, Csóka, József, Szabó, P Bernát, Gyevi-Nagy, László, Hégely, Bence, Ladjánszki, István, Szegedy, Lóránt, Ladóczki, Bence, Petrov, Klára, Farkas, Máté, Mezei, Pál D, Ganyecz, Ádám

“… MRCC is a package of ab initio and density functional quantum chemistry programs for accurate electronic structure calculations. The suite has efficient …”
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Nature-inspired optimization algorithms von Yang, Xin-She

“… Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization.The book's unified …”
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Accelerated causal Green's function molecular dynamics von Coluci, V.R., Dantas, S.O., Tewary, V.K.

“… A Green's function formalism has been applied to solve the equations of motion in classical molecular dynamics simulations. This formalism enables larger time …”
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Scheduling-Guided Automatic Processing of Massive Hyperspectral Image Classification on Cloud Computing Architectures von Wu, Zebin, Sun, Jin, Zhang, Yi, Zhu, Yaoqin, Li, Jun, Plaza, Antonio, Benediktsson, Jon Atli, Wei, Zhihui

“… The large data volume and high algorithm complexity of hyperspectral image (HSI) problems have posed big challenges for efficient classification of massive HSI …”
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Large-Scale Photonic Ising Machine by Spatial Light Modulation von Pierangeli, D., Marcucci, G., Conti, C.

“… Quantum and classical physics can be used for mathematical computations that are hard to tackle by conventional electronics. Very recently, optical Ising …”
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SchNetPack: A Deep Learning Toolbox For Atomistic Systems von Schütt, K T, Kessel, P, Gastegger, M, Nicoli, K A, Tkatchenko, A, Müller, K-R

“… SchNetPack is a toolbox for the development and application of deep neural networks that predict potential energy surfaces and other quantum-chemical …”
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Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems von Jagtap, Ameya D., Kharazmi, Ehsan, Karniadakis, George Em

“… We propose a conservative physics-informed neural network (cPINN) on discrete domains for nonlinear conservation laws. Here, the term discrete domain …”
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Hardware implementation of memristor-based artificial neural networks von Aguirre, Fernando, Sebastian, Abu, Le Gallo, Manuel, Song, Wenhao, Wang, Tong, Yang, J. Joshua, Lu, Wei, Chang, Meng-Fan, Ielmini, Daniele, Yang, Yuchao, Mehonic, Adnan, Kenyon, Anthony, Villena, Marco A., Roldán, Juan B., Wu, Yuting, Hsu, Hung-Hsi, Raghavan, Nagarajan, Suñé, Jordi, Miranda, Enrique, Eltawil, Ahmed, Setti, Gianluca, Smagulova, Kamilya, Salama, Khaled N., Krestinskaya, Olga, Yan, Xiaobing, Ang, Kah-Wee, Jain, Samarth, Li, Sifan, Alharbi, Osamah, Pazos, Sebastian, Lanza, Mario

“… Artificial Intelligence (AI) is currently experiencing a bloom driven by deep learning (DL) techniques, which rely on networks of connected simple computing …”
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