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Multi-GPU implementation of the lattice Boltzmann method

COMPUTERS & MAthEMATICS WIth APPLICATIONS 2013年第2期65卷 252-261页

作者： Obrecht, Christian Kuznik, Frederic Tourancheau, Bernard Roux, Jean-Jacques Univ Lyon Ctr Therm Lyon UMR5008 CNRSINSA Lyon Lyon France UCB Lyon 1 Lab Informat Parallelisme UMR 5668 CNRSENS LyonINRIA Lyon France

the lattice Boltzmann method (LBM) is an increasingly popular approach for solving fluid flows in a wide range of applications. the LBM yields regular, data-parallel computations;hence, it is especially well fitted to massively parallel hardware such as graphics processing units (GPU). Up to now, though, single-GPU implementations of the LBM are of moderate practical interest since the on-board memory of GPU-based computing devices is too scarce for large scale simulations. In this paper, we present a multi-GPU LBM solver based on the well-known D3Q19 MRT model. Using appropriate hardware, we managed to run our program on six Tesla C1060 computing devices in parallel. We observed up to 2.15 x 10(9) node updates per second for the lid-driven cubic cavity test case. It is worth mentioning that such a performance is comparable to the one obtained with large high performance clusters or massively parallel supercomputers. Our solver enabled us to perform high resolution simulations for large Reynolds numbers without facing numerical instabilities. though, we could observe symmetry breaking effects for long-extended simulations of unsteady flows. We describe the different levels of precision we implemented, showing that these effects are due to round off errors, and we discuss their relative impact on performance. (C) 2011 Elsevier Ltd. All rights reserved.

关键词： GPU programming CUDA Lattice Boltzmann method theLMA project

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Assessment of the source code static analysis effectiveness for security requirements implementation into software developing process

Assessment of the source code static analysis effectiveness ...

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IEEE international Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications

作者： Oksana V. Pomorova Dmytro O. Ivanchyshyn System Programming Department Khmelnytskyi National University Khmelnitsky Ukraine

the article focuses on the problem of software security assurance. the place of source code security analysis in the software lifecycle was considered. Results of common tools for C and C++ source code static analysis... 详细信息

关键词： Software Security Software measurement Model checking Phase measurement

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Gradient-Based Artificial Bee Colony for Damping Controllers Design

Gradient-Based Artificial Bee Colony for Damping Controllers...

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IEEE international Power Engineering and Optimization conference

作者： Mahdiyeh Eslami Hussain Shareef Azah Mohamed Mohammad Khajehzadeh Department of Electrical Electronic and Systems Engineering National University of Malaysia Department of Civil Engineering Anar Branch Islamic Azad University

ISBN: (纸本)9781467350723

A novel optimization algorithm by combining the artificial bee colony (ABC) algorithm and the sequential quadratic programming (SQP), that is the gradient based ABC algorithm, is presented to resolve the problems of global optimization and inter-area oscillations damping in power system. the proposed algorithm merges the global exploration ability of the artificial bee colony to converge quickly to a near optimum resolution, and the correct local exploitation capacity of the sequential quadratic programming to accelerate the search process and discover a correct solution. To show the feasibility and efficiency of the new method, numerical result is investigated on the New England system by tuning a power system stabilizer and a controller for the static VAR compensator. the proposed gradient based ABC algorithm is compared with ABC. the simulations studies demonstrate that the proposed algorithm based designed damping controllers perform better than controller designed by ABC.

关键词： Controllers activity based costing bee colonies Search process sequential quadratic programming Bee absorption of shock Power system stability New England Optimization algorithms Global optimization power systems

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MOPSO Approach for FACTS Device Installation in Power System

MOPSO Approach for FACTS Device Installation in Power System

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IEEE international Power Engineering and Optimization conference

作者： S. A. Jumaat I. Musirin M. M. Othman H. Mokhlis Fac. of Electrical and Electronics Eng. Universiti Tun Hussein Onn Malaysia Faculty of Electrical Engineering Universiti Teknologi MARA Malaysia Department of Electrical Engineering Faculty of Eng. University of Malaya

ISBN: (纸本)9781467350723

this paper presents an approach to sigma multi-objective optimization particle swarm (σ-MOPSO) technique for optimal allocation of Flexible AC Transmission System (FACTS) devices. For this study, Static Var Compensator (SVC) is selected as a compensation device. Proposal σ-MOPSO technique has been implemented to minimize the transmission losses and the cost of investment in the system. Simulations performed on standard IEEE RTS 30-bus and IEEE 118-bus RTS. Results are compared with those obtained from the programming of multi-objective evolutionary technique (MOEP) in order to highlight its advantages.

关键词： flexible AC transmission systems power systems Propagation losses Static VAr compensators optimal allocation programming systems simulation compensating device INSTITUTE OF ELECTRICAL AND ELECTRONIC ENGINEERS Investments

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A contribution to the reentrant flow-shop scheduling problem

A contribution to the reentrant flow-shop scheduling problem

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7th IFAC conference on Manufacturing Modelling, Management, and Control, MIM 2013

作者： Hinze, Richard Sackmann, Dirk Buscher, Udo Aust, Gerhard TU Dresden 01069 Dresden Germany Merseburg University of Applied Sciences 06217 Merseburg Germany

ISBN: (纸本)9783902823359

this paper considers a flow-shop scheduling problem which is characterized by reentrants and aims on the minimization of makespan. Reentrants are events of a repeated processing of a specific job on a machine, which can occur due to, e.g., quality reasons. In the following, we focus on missing operations which did not receive adequate attention in the literature so far. After describing different types of reentrants, a specific level formulation is given in order to cope with processing times equal to zero in an appropriate way. Finally, we perform first computational tests with different problem sizes and compare our results with an already existing formulation with respect to solution quality and computation times. Our main results are as follows: (i) it turns out that our formulation is well suitable when zero processing times occur, as we derive better objective values for makespan;(ii) however, longer computation times have to be accepted compared to traditional formulations;(iii) the computation times are mainly influenced by the total number of jobs. © IFAC.

关键词： Integer programming

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Task scheduling to extend platform useful life using prognostics

Task scheduling to extend platform useful life using prognos...

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7th IFAC conference on Manufacturing Modelling, Management, and Control, MIM 2013

作者： Nicod, Jean-Marc Obrecht, Léo Varnier, Christophe FEMTO-ST Institute CNRS/UFC ENSMM/UTBM BESANCON France

ISBN: (纸本)9783902823359

In this paper, we aim at maximizing the useful life of a heterogeneous distributed platform which has to deliver a given production. the machines perform independent tasks and may be configured with different profiles (one nominal mode and several degraded ones). Depending on the profile, a machine reaches a given throughput. At each time the sum of the machine throughputs that are currently running determines the global throughput. Moreover, each machine is supposed to be monitored and a prognostic module gives its remaining useful life depending on both its past and future usage (profile). the objective is to configure the platform so as to reach the demand as long as possible. We propose to discretize the time into periods and to choose a configuration for each period. We propose an Integer Linear programming (ILP) model to find such configurations for a fixed time horizon. Due to the number of variables and constraints in the ILP, the largest horizon can be computed for small instances of the problem. For larger ones, we propose polynomial time heuristics to maximize the useful life. Exhaustive simulations show that the heuristic solutions are close to the optimal (5% in average) in the case where the optimal horizon can be computed. For other platforms with a very large number of machines, simulations assess the efficiency of our heuristics. the distance to the theoretical maximal value is about 8% in average. © IFAC.

关键词： Integer programming

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Loss Minimization of Distribution System with Photovoltaic Injection Using Swarm Evolutionary programming

Loss Minimization of Distribution System with Photovoltaic I...

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IEEE international Power Engineering and Optimization conference

作者： N. Ameir Ahmad Ismail Musirin S. I. Sulaiman Centre for Electrical Power Engineering Universiti Teknologi Mara

ISBN: (纸本)9781467350723

this paper presents the study of an optimization technique that is developed to locate the optimal location and the size (power rating) of Distributed Generation (DG) for its installation to a distribution system. the type of the chosen DG is photovoltaic (PV). In this study, the author proposes the new technique called Swarm Evolutionary (SEP) technique where the concept of applying and substituting the concept of Particle Swarm Optimization (PSO) in some part of Evolutionary programming (EP) is applied on IEEE 69 radial bus distribution system. the result is then compared with the result from classic EP and Artificial Immune System (AIS). the objective is to minimize overall system power loss and improving voltage profile. the proposed optimization technique is developed under MATLAB programming. Test results indicate that Swarm EP technique can reduce the total system loss and improve the voltage profile better than EP and AIS for the distribution system under various loading conditions.

关键词： dispensing system ESSENTIAL POWER power loss European Parliament evolutionary algorithm dike swarms system loss Particle swarm optimization ACCEPTABLE INTAKE FOR SUBCHRONIC EXPOSURE PHOTOVOLTAIC VOLTAGE

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COTS embedded Internet platform and Blimp UAV for educational purposes

COTS embedded Internet platform and Blimp UAV for educationa...

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international conference on Signal Processing and Communication Systems, ICSPCS

作者： Matthew D'Souza Adam Postula Konstanty Bialkowski Mark Schulz School of Information Technology and Electrical Engineering The University of Queensland. Brisbane Australia Centre for Education Innovation and Technology The University of Queensland Brisbane Australia

Easy, available and inexpensive modules like digital radio or modems and sensors allow the practical understanding of communication technology. We present a Commercial off the Shelf (COTS) Internet platform for teaching digital and wireless communications. Our experience showed that teaching embedded systems by building a realistic system is most convincing for students as it shows theory applied and engages students better then a more theoretical approach. We created an Internet platform development environment and a Blimp UAV that introduced wireless and digital communication systems, realtime OS and embedded networking concepts.

关键词： Wireless communication Embedded systems Internet Education Digital communication Sensors programming

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Multi-GPU implementation of the lattice Boltzmann method

Multi-GPU implementation of the lattice Boltzmann method

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7th international conference for Mesoscopic Methods in Engineering and Science (ICMMES)

关键词： GPU programming CUDA Lattice Boltzmann method theLMA project

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PSS-LL Based Power System Stability Enhancement Using IPSO Approach

PSS-LL Based Power System Stability Enhancement Using IPSO A...

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IEEE international Power Engineering and Optimization conference

作者： N. A. Mohamed Kamari I. Musirin M. M. Othman Z. A. Hamid Universiti Teknologi Mara

ISBN: (纸本)9781467350723

this paper introduced a new swarm based optimization technique for tuning Power System Stabilizer (PSS) that attached to a synchronous generator in a single machine infinite bus (SMIB) system. PSS which is installed with Lead-Lag (LL) controller is introduced to elevate the damping capability of the generator in the low frequency mode. For tuning three PSS-LL parameters, a new Particle Swarm Optimization (PSO) technique called Iteration PSO (IPSO) is proposed. In this method, a new iteration best index is implemented into conventional PSO in order to enhance the quality of the solution. Based on eigenvalues and damping ratio results, it is confirmed that the proposed technique is more efficient than conventional PSO in improving the angle stability of the system. Comparison between IPSO, PSO and Evolutionary programming (EP) optimization techniques showed that the proposed computation approach give better solution and faster computation time.

关键词： Transient Stability Damping Ratio Damping Factor Evolutionary programming Iteration Particle Swarm Optimization

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