Article
Engineering, Mechanical
Kai Cheng, Zhenzhou Lu, Sinan Xiao, Xiaobo Zhang, Sergey Oladyshkin, Wolfgang Nowak
Summary: The paper proposes a fully decoupled simulation method for reliability-based design optimization using thermodynamic integration and parallel tempering. By treating design parameters as uniformly distributed random variables and using importance sampling, the method provides robust solutions for various nonlinear constraint problems.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Computer Science, Theory & Methods
Alix Marie d'Avigneau, Sumeetpal S. Singh, Lawrence M. Murray
Summary: Efficient MCMC algorithms are crucial in Bayesian inference, especially in the context of parallel tempering. This study addresses the issue of randomly varying local move completion times in multi-processor parallel tempering by imposing real-time deadlines on the parallel local moves and performing exchanges at these deadlines without any processor idling. The methodology of exchanges at real-time deadlines is shown to lead to significant performance enhancements without introducing bias, with potential applications in ABC algorithms for parameter estimation.
STATISTICS AND COMPUTING
(2021)
Article
Computer Science, Theory & Methods
Jonas Latz, Juan P. Madrigal-Cianci, Fabio Nobile, Raul Tempone
Summary: In this work, two generalizations of the Parallel Tempering algorithm are introduced, with state-dependent swapping rates inspired by a continuous time Infinite Swapping algorithm. The analysis of reversibility and ergodicity properties show that these generalized PT algorithms significantly improve sampling efficiency compared to more traditional sampling algorithms.
STATISTICS AND COMPUTING
(2021)
Article
Statistics & Probability
Saifuddin Syed, Alexandre Bouchard-Cote, George Deligiannidis, Arnaud Doucet
Summary: Parallel tempering (PT) methods are widely used for sampling complex high-dimensional probability distributions by relying on a set of interacting auxiliary chains to improve exploration of the state space. The comparison between reversible and non-reversible PT schemes reveals the dominance of the latter in both theoretical and empirical aspects, leading to the identification of optimal annealing schedules and iterative schemes for non-reversible PT. The proposed methodology is applicable to various scenarios where sampling from a distribution with respect to a reference distribution and computing the normalizing constant are required.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
(2022)
Article
Optics
Zepeng Wei, Aru Kong, Jingbo Hu, Ting Lei, Xiaocong Yuan
Summary: A single 2x8 arrayed waveguide grating (AWG) is proposed and demonstrated for the multiplexing of 2 linearly polarized (LP) modes at 4 wavelengths with an MDM device. This parallel AWG concept can be further extended to support more wavelengths and introduce more spatial modes for high-capacity data transmission.
Article
Environmental Sciences
Fang Chen, Ning Wang, Bo Yu, Yuchu Qin, Lei Wang
Summary: The growing volume of remote sensing images presents a challenge in processing large datasets with limited CPU memory. Utilizing distributed clusters with strong calculation power is an effective solution, although the use of big data platforms may be limited due to incomplete objects and large communication volumes. Implementing a distributed strategy based on Spark platform for image segmentation algorithms allows for faster execution time and high accuracy compared to traditional methods.
Article
Multidisciplinary Sciences
Zeeshan Memon Anjum, Dalila Mat Said, Mohammad Yusri Hassan, Zohaib Hussain Leghari, Gul Sahar
Summary: This article develops a parallel hybrid Arithmetic Optimization Algorithm and Salp Swarm Algorithm (AOASSA) for the optimal sizing and placement of DGs in the Radial Distribution Networks (RDNs). The proposed algorithm produces quality solutions and reduces power losses in the distribution networks.
Article
Computer Science, Information Systems
Ligeng Zou, Tingting He, Jianhua Dai
Summary: This paper proposes a new parallel algorithm for computing formal concepts. The algorithm tackles the issues of computation and workload distribution through two parallel phases, resulting in improved performance.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Mohammed Alweshah, Muder Almiani, Saleh Alkhalaileh, Sofian Kassaymeh, Essa Abdullah Hezzam, Waleed Alomoush
Summary: This article introduces a method that uses two metaheuristic algorithms to adjust the weights of a PNN classifier, improving classification accuracy through parallel search and communication of fitness values.
Article
Mathematics, Applied
Jaume Llibre, Victor F. Sirvent
Summary: New relationships between the topological entropy, homology, and periods of continuous self-maps on topological graphs are provided.
COMPUTATIONAL & APPLIED MATHEMATICS
(2021)
Article
Mathematics
Akram Belazi, Hector Migallon, Daniel Gonzalez-Sanchez, Jorge Gonzalez-Garcia, Antonio Jimeno-Morenilla, Jose-Luis Sanchez-Romero
Summary: This paper introduces an enhanced version of the sine cosine algorithm (ESCA algorithm) and designs several parallel algorithms to improve solution accuracy and convergence speed. Experimental results demonstrate the superiority of the proposed algorithm and its outstanding performance in engineering design problems. Additionally, the overall performance of the algorithm is statistically validated using non-parametric statistical tests.
Article
Computer Science, Theory & Methods
Zhihui Du, Sen Zhang, David A. Bader
Summary: This paper presents the Tunnel algorithm, the first large-scale parallel suffix array construction algorithm with a time complexity of O based on the PRAM model. The algorithm divides the problem into sub-problems, efficiently induces the order of suffixes with long common prefixes, and transforms a partially ordered suffix set into a total order relation. The Tunnel algorithm is scalable and suitable for large string analytics on parallel systems.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2023)
Article
Computer Science, Interdisciplinary Applications
C. S. Skene, M. F. Eggl, P. J. Schmid
Summary: Parallel-in-time methods using the Paraexp algorithm are developed to accelerate the direct-adjoint looping process for both linear and non-linear governing equations. Efficiency gains are observed in all cases, indicating the feasibility of using a Paraexp-based approach for direct-adjoint studies.
JOURNAL OF COMPUTATIONAL PHYSICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Keaton Coletti, Ryan C. Romeo, R. Benjamin Davis
Summary: This paper presents a novel Bayesian method for backcalculation of pavement properties using FWD data, which provides estimates and uncertainties for each property along with information about measurement error. The method achieves lower estimation errors compared to a state-of-the-art optimization algorithm. Confidence intervals are computed from simulated backcalculations to quantify uncertainty. A fully parallel transitional Markov chain Monte Carlo procedure is developed to cope with the computational expense of backcalculation, resulting in a significant reduction in computation time.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Mathematics, Applied
Zhengzheng Yan, Rongliang Chen, Chao Wang, Lei Xu, Jingzhi Li
Summary: This paper presents a parallel solver based on domain decomposition method to efficiently study the flow behavior around an automobile using existing supercomputer resources. The 3D unsteady incompressible Navier-Stokes equations are discretized on an unstructured tetrahedral grid by a stable P1-P1 finite element method in space, and the time discretization is done by employing an implicit second-order backward differentiation formula. The non-linear algebraic system is solved using the Newton-Krylov-Schwarz method with a restricted additive Schwarz right preconditioner for the parallel setting.
ADVANCES IN APPLIED MATHEMATICS AND MECHANICS
(2023)
Article
Physics, Particles & Fields
Masafumi Fukuma, Sotaro Sugishita, Naoya Umeda
JOURNAL OF HIGH ENERGY PHYSICS
(2015)
Article
Physics, Multidisciplinary
Masafumi Fukuma, Sotaro Sugishita, Naoya Umeda
PROGRESS OF THEORETICAL AND EXPERIMENTAL PHYSICS
(2016)
Article
Physics, Multidisciplinary
Masafumi Fukuma, Hikaru Kawai, Katsuta Sakai, Junji Yamamoto
PROGRESS OF THEORETICAL AND EXPERIMENTAL PHYSICS
(2016)
Article
Physics, Multidisciplinary
Masafumi Fukuma, Sotaro Sugishita, Naoya Umeda
PROGRESS OF THEORETICAL AND EXPERIMENTAL PHYSICS
(2016)
Article
Physics, Particles & Fields
Masafumi Fukuma, Nobuyuki Matsumoto, Naoya Umeda
JOURNAL OF HIGH ENERGY PHYSICS
(2017)
Article
Physics, Multidisciplinary
Yoshihiko Abe, Masafumi Fukuma
PROGRESS OF THEORETICAL AND EXPERIMENTAL PHYSICS
(2018)
Article
Astronomy & Astrophysics
Masafumi Fukuma, Sotaro Sugishita, Yuho Sakatani
Article
Astronomy & Astrophysics
Masafumi Fukuma, Sotaro Sugishita, Yuho Sakatani
Article
Physics, Fluids & Plasmas
Masafumi Fukuma, Yuho Sakatani
Article
Physics, Fluids & Plasmas
Masafumi Fukuma, Yuho Sakatani
Article
Physics, Particles & Fields
Masafumi Fukuma, Yuho Sakatani
JOURNAL OF HIGH ENERGY PHYSICS
(2012)
Article
Physics, Particles & Fields
Masafumi Fukuma, Nobuyuki Matsumoto, Naoya Umeda
JOURNAL OF HIGH ENERGY PHYSICS
(2018)
Article
Astronomy & Astrophysics
Masafumi Fukuma, Nobuyuki Matsumoto, Naoya Umeda
Proceedings Paper
Physics, Multidisciplinary
Tatsuo Azeyanagi, Masafumi Fukuma, Hikaru Kawai, Kentaroh Yoshida
6TH INTERNATIONAL SYMPOSIUM ON QUANTUM THEORY AND SYMMETRIES (QTS6)
(2013)