Search Results - "parallel processing"

Corrections to “Fast and Precise: Parallel Processing of Vehicle Traffic Videos Using Big Data Analytics” by 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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Efficient evaluation of electrostatic potential with computerized optimized code by 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 by 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 by 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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Cloud Computing: Opportunities and Challenges by 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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Nested sampling with normalizing flows for gravitational-wave inference by 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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3D Nanolithography via Holographic Multi‐Focus Metalens (Laser Photonics Rev. 18(11)/2024) by 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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Heterogeneous parallelization and acceleration of molecular dynamics simulations in GROMACS by 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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polychord: next-generation nested sampling by 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 by 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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Accelerated causal Green's function molecular dynamics by 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 by 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 by 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 by 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 by 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 by 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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Fast semistochastic heat-bath configuration interaction by Li, Junhao, Otten, Matthew, Holmes, Adam A, Sharma, Sandeep, Umrigar, C J

“…This paper presents in detail our fast semistochastic heat-bath configuration interaction (SHCI) method for solving the many-body Schrödinger equation. We…”
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Automated systolic array architecture synthesis for high throughput CNN inference on FPGAs by Xuechao Wei, Yu, Cody Hao, Peng Zhang, Youxiang Chen, Yuxin Wang, Han Hu, Yun Liang, Cong, Jason

“…Convolutional neural networks (CNNs) have been widely applied in many deep learning applications. In recent years, the FPGA implementation for CNNs has…”
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Information-Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving by Williams, Grady, Drews, Paul, Goldfain, Brian, Rehg, James M., Theodorou, Evangelos A.

“…We present an information-theoretic approach to stochastic optimal control problems that can be used to derive general sampling-based optimization schemes…”
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