As the numerical simulations in the continuous casting mould is characterized as high cost of calculation, time-consuming and the traditional serial algorithm is hard to meet the demand of the modern industry, MPI-bas...
详细信息
As the numerical simulations in the continuous casting mould is characterized as high cost of calculation, time-consuming and the traditional serial algorithm is hard to meet the demand of the modern industry, MPI-based parallel algorithm is studied in this paper. The parallel algorithm of continuous casting simulation based on data-division and function-partition is given for SIMPLER algorithm. Through the result of the experiment on the Ziqiang 3000 high performance cluster computation environment, it is proved that the parallel algorithm has good parallel performance.
This paper presents a novel algorithm for EMC simulation of electronic package integration. This algorithm is based on hybridizing method of moments with analytical method, modal expansion technique. The entire electr...
详细信息
ISBN:
(纸本)9781424416998
This paper presents a novel algorithm for EMC simulation of electronic package integration. This algorithm is based on hybridizing method of moments with analytical method, modal expansion technique. The entire electronic package domain is divided into two networks: the signal distribution network and the power distribution network. The signal distribution network is simulated using the method of moments, where the equivalent RLCG (resistance, inductance, capacitance and conductance) parameters of the signal traces in the signal layers are extracted. The power distribution network is simulated by using the modal expansion technique, where the equivalent circuit of the power distribution network is obtained. It is straightforward to substitute all the extracted equivalent circuit parameters into a SPICE-like simulator to simultaneously perform the signal and power integrities analyses. With the proposed method, the system-level EMC modeling of the package can be performed efficiently. Numerical examples demonstrate that this approach is able to provide fast yet accurate simulation for signal and power integrities analysis of multilayered electronic packages. In order to further enhance the simulation efficiency, the parallel process of the proposed method is implemented in our institute's high performance computer.
Currently, the problem size that can be solved by the Method of Moments (MoM) is limited by the amount of RAM installed on the computer. To reduce number of unknowns for MoM, a higher order polynomial function is intr...
详细信息
ISBN:
(纸本)9781424420414
Currently, the problem size that can be solved by the Method of Moments (MoM) is limited by the amount of RAM installed on the computer. To reduce number of unknowns for MoM, a higher order polynomial function is introduced in this paper as the basis function. To further extend the capability of the MoM code, this paper also describes a newly developed out-of-core solver based on PLAPACK which breaks the memory constraint while maintaining the efficiency of in-core implementation. Results on a representative computer platform for a challenge electromagnetic problem show that the out-of-core solver introduced is an efficient way to deal with a large matrix equation. The implementation of these advancements creates a powerful tool for efficient computational electromagnetic solution of large and complex real world problems.
We developed a parallel computation method for the electromagnetic field analysis of rotating machines with the 3-D finite element method with prismatic edge elements. We clarified the usefulness of the method through...
详细信息
ISBN:
(纸本)9781467388634
We developed a parallel computation method for the electromagnetic field analysis of rotating machines with the 3-D finite element method with prismatic edge elements. We clarified the usefulness of the method through the dynamic characteristics analysis of an IPM motor.
The requirement of information security on a network has become highly challenging. Cryptography is a method to provide information confidentiality, authenticity and integrity. The cryptography overcomes several chall...
详细信息
ISBN:
(纸本)9781467396875
The requirement of information security on a network has become highly challenging. Cryptography is a method to provide information confidentiality, authenticity and integrity. The cryptography overcomes several challenges such as execution time, memory requirement, and computation power. However, we cannot get desired outcomes by using sequential computation. In this paper, we introduce parallel computation using multicore processors by parallelizing the execution of the algorithm in multiple cores. We analyze the effectiveness of the Advanced Encryption Standard (AES) algorithm on dual core processor by using OpenMP API to reduce the execution time. This process is validated using JAVA platform. Based on the results, it is confirmed that parallel computation reduced execution time as compared with sequential computation.
Hurricane Sandy in October 2012 is currently the second costliest tropical cyclone (TC) in the U. S. history, surpassed only by Hurricane Katrina (2005). This paper uses advanced data analysis methods and visualizatio...
详细信息
Hurricane Sandy in October 2012 is currently the second costliest tropical cyclone (TC) in the U. S. history, surpassed only by Hurricane Katrina (2005). This paper uses advanced data analysis methods and visualization technology to examine the role of multiscale processes in the initial formation and movement of Hurricane Sandy. To efficiently analyze high-resolution, global, and multiple-dimensional datasets, a parallel ensemble empirical mode decomposition (PEEMD) method is developed by implementing a multilevel parallelism into an ensemble EMD (EEMD). The augmentation resulted in a parallel speedup of 720 using 200 eight-core processors. Here, we discuss performance for the PEEMD in decomposing multiscale signals from data sets that represent: (i) idealized tropical waves and (ii) large-scale environmental flows associated with Hurricane Sandy (2012). Our results indicate that the PEEMD can efficiently reveal major wave characteristics such as wavelengths and periods within the data by sifting out the dominant (wave) components. Visualization tools have been developed to make four-dimensional (4D) visualizations of Sandy. The 4D visualizations help elucidate the following factors which led to the sinuous track of Sandy: (i) the initial steering impact of an upperlevel trough (appearing over the Northwestern Caribbean Sea and the Gulf of Mexico);(ii) the blocking impact of systems to the Northeast of Sandy;and (iii) interaction with a mid-latitude, upper-level trough that appeared at 130 degrees West longitude on October 23, moved to the east coast, and intensified from October 29-30 prior to Sandy's landfall. Both the PEEMD method and advanced visualization technology have been integrated with other modules in order to examine the statistical relationship between tropical waves and TC formation in a hurricane climate study.
Valence and conduction bands of carbon silicon cubic systems arefirst obtained by a process called linear combination of atomic orbitalsself-consistent field (LCAO-SCF), both at the Hartree-Fock (HF) and localdensity ...
详细信息
This paper presents the algorithmic performance of an algebraically partitioned Finite Element Tearing and Interconnection (FETI) method presented in a companion paper. A simple structural assembly topology is employe...
详细信息
作者:
Shin-Yeu LinShieh-Shing LinDepartment of Electrical and Control Engineering
National Chiao Tung University Hsinchu 30039 Taiwan. Shin-Yen Lin received the B.S. degree in electronic engineering from National Chiao Tung University
the M.S. degree in electrical engineering from the University of Texas at E1 Paso and the D.Sc. degree in systems science and mathematics from Washington University in St. Louis Missouri in 1975 1979 and 1983 respectively. From 1991 to the present he has been a Professor in the Department of Electrical and Control Engineering at National Chiao Tung University. His major research interests are Computational Intelligence Optimization Theory and Applications and Large-scale Power Systems.
In this paper, we propose a modified parallel block scaled gradient method for solving block additive unconstrained optimization problems of large distributed systems. Our method makes two major modifications to the t...
详细信息
In this paper, we propose a modified parallel block scaled gradient method for solving block additive unconstrained optimization problems of large distributed systems. Our method makes two major modifications to the typical parallel block scaled gradient method: First, we include a pre-processing step which reduces the computational time; second, we propose a decentralized Armijo-type step-size rule. This rule circumvents the difficulty of determining a step-size in a distributed computing environment and enables the proposed parallel algorithm to execute in a distributed computer network with a limited amount of data transfer. We have applied our method to the weighted-least-square problems of power system state estimation and demonstrated the convergence of our method by testing numerous examples on a PC network. The speedup ratio of the distributed version of our method tends to increase proportionally with the number of subsystems (or computers).
The FDTD method is a numerical technique that can be used to solve electromagnetic boundary value problems in the time domain. This method is excellent in computational efficiency, practicality, and simplicity. In rec...
详细信息
暂无评论