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optimization of reconfigurable multi-core system-on-chips for multi-standard applications

INTERNATIONAL JOURNAL OF KNOWLEDGE-BASED AND INTELLIGENT ENGINEERING SYSTEMS 2011年第2期15卷 89-98页

作者： Ahmadinia, Ali Fernandez-Canque, Hernando Glasgow Caledonian Univ Sch Engn & Comp Glasgow Lanark Scotland

Today there is an increasing need for high performance chips that can provide very low power consumption, yet can operate over a number of application domains. For example chips operating a number of telecommunication standards depending on which country the device is in or playing a video format depending on different player formats, etc. For this reason, there is an urgent need for a design tool which aids design engineers to design such complex system on chip devices rapidly in order to satisfy the fast time to market demand. This paper presents a new framework to enable the design of flexible systems by incorporating different range of reconfigurability in an embedded platform within an SoC design automatically. The SoC design automation involves identifying the best architectural features for the SoC platform, the configuration setting of reconfigurable cores, the type of interconnection schemes, their associated parameters such as data bandwidth, and placement of embedded cores in the communication infrastructures. For this optimization problem, a two-stage multi-objective optimization algorithm is presented. A multi-standard wireless telecommunication protocol is used to demonstrate our optimized designs in terms of area, power and performance.

关键词： Complex systems Core samples embedded platform Computer chips CARRIER SYSTEM design tools telecommunication standards optimization algorithms system-on-chip core Computer-Aided Design HIGH-PERFORMANCE Communications infrastructure

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Single- and Multievent optimization in Combined Sewer Flow and Water Quality Model Calibration

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JOURNAL OF ENVIRONMENTAL ENGINEERING-ASCE 2011年第7期137卷 551-558页

作者： Gamerith, Valentin Gruber, Guenter Muschalla, Dirk Graz Univ Technol Inst Urban Water Management & Landscape Water Eng A-8010 Graz Austria Univ Laval Quebec City PQ G1V 0A6 Canada

Over the last three decades, storm-water quality modeling has been used increasingly commonly to describe the general system behavior and assess the pollution loads transferred in and spilled out of combined sewer systems. The calibration of quality models is, in most cases, based on conventionally obtained calibration data, e.g., by automated sampling. Long-term high-resolution online measurement data are available for the Graz West catchment (Graz, Austria), allowing an assessment of the full dynamics of discharge and pollution concentrations. This paper focuses on the application and comparison of single-event and two different multievent optimization schemes for sewer-water quality model calibration. While both single- and multievent optimization lead to satisfying results for the calibration events in discharge calibration, it is shown that validation events are better reproduced by using multievent calibration. Single- and multievent autocalibration of pollution concentration is based on the best dataset obtained from the discharge calibration. As for discharge, the pollutographs are reproduced satisfactorily, and multievent calibration is more stable. In all cases, the two multievent approaches performed equally well. DOI: 10.1061/(ASCE)EE.1943-7870.0000356. (C) 2011 American Society of Civil Engineers.

关键词： Calibration Combined sewers Hydraulic models optimization algorithms Monitoring Water pollution

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Breaking the Speed and Scalability Barriers for Graph Exploration on Distributed-memory Machines 12

Breaking the Speed and Scalability Barriers for Graph Explor...

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ACM/IEEE International Conference for High Performance Computing, Networking, Storage, and Analysis

作者： Fabio Checconi Fabrizio Petrini Jeremiah Willcock Andrew Lumsdaine Anamitra Roy Choudhury Yogish Sabharwal IBM TJ Watson Yorktown Heights NY 10598 CREST Indiana University Bloomington IN 47405 IBM India Research New Delhi DL 110070 India

ISBN: (纸本)9781467308052

In this paper, we describe the challenges involved in designing a family of highly-efficient Breadth-First Search (BFS) algorithms and in optimizing these algorithms on the latest two generations of Blue Gene machines, Blue Gene/P and Blue Gene/Q. With our recent winning Graph 500 submissions in November 2010, June 2011, and November 2011, we have achieved unprecedented scalability results in both space and size. On Blue Gene/P, we have been able to parallelize a scale 38 problem with 2~(38) vertices and 2~(42) edges on 131,072 processing cores. Using only four racks of an experimental configuration of Blue Gene/Q, we have achieved a processing rate of 254 billion edges per second on 65,536 processing cores. This paper describes the algorithmic design and the main classes of optimizations that we have used to achieve these results.

关键词： Distributed-memory Machines BFS Blue Gene machines BUNDESAMT FUER STRAHLENSCHUTZ speed Scalability color blue distributed memory machine machinery Line graph optimization algorithms

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Level set based structural topology optimization for minimizing frequency response

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JOURNAL OF SOUND AND VIBRATION 2011年第24期330卷 5820-5834页

作者： Shu, Lei Wang, Michael Yu Fang, Zongde Ma, Zhengdong Wei, Peng Northwestern Polytech Univ Dept Mech & Automat Engn Xian 710072 Shaanxi Peoples R China Chinese Univ Hong Kong Dept Mech & Automat Engn Shatin Hong Kong Peoples R China Univ Michigan Dept Mech Engn Ann Arbor MI 48109 USA S China Univ Technol Sch Civil Engn & Transportat Guangzhou Guangdong Peoples R China

For the purpose of structure vibration reduction, a structural topology optimization for minimizing frequency response is proposed based on the level set method. The objective of the present study is to minimize the frequency response at the specified points or surfaces on the structure with an excitation frequency or a frequency range, subject to the given amount of the material over the admissible design domain. The sensitivity analysis with respect to the structural boundaries is carried out, while the Extended finite element method (X-FEM) is employed for solving the state equation and the adjoint equation. The optimal structure with smooth boundaries is obtained by the level set evolution with advection velocity, derived from the sensitivity analysis and the optimization algorithm. A number of numerical examples, in the frameworks of two-dimension (2D) and three-dimension (3D), are presented to demonstrate the feasibility and effectiveness of the proposed approach. (C) 2011 Elsevier Ltd. All rights reserved.

关键词： optimization algorithms equations of state Smooth boundaries Topology optimization excitation frequency Sensitivity analysis Frameworks Level set frequency response

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Joint Topology Control and Routing Assignment for Wireless Mesh with Directional Antennas

Joint Topology Control and Routing Assignment for Wireless M...

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IEEE Global Communications Conference

作者： Wangkit Wong Xun Chen Fei Long S. H. Gary Chan Department of Computer Science and Engineering The Hong Kong University of Science and Technology

ISBN: (纸本)9781467309202

Using directional antennas in wireless mesh networks (termed DMesh in this paper) is attractive due to its longer coverage range and spatial separation between transmissions of the same channel. However, the connectivity in a DMesh is much lower than its omni-directional counterpart. This makes topology control (through beaming) a critical problem in DMesh. Because topology control coupled with routing decision, their joint optimization is critical to achieve the best performance. In this paper, we consider a multimedia DMesh with a certain traffic demand at each mesh router. We first formulate the joint topology control and routing assignment as an optimization problem and show that it is NP-hard. To address the problem, we propose a novel and efficient heuristic called TORA (Joint Topology Control and Routing Assignment), an ant-colony optimization algorithm which seeks to jointly optimize topology and routing for DMesh. Simulation results based on NS3 show that TORA performs substantially better in terms of loss rate, delay and throughput as compared with a recent scheme.

关键词： topology control Directive antennas Wireless mesh networks Travel demand Joints Joints Network routing spatial separation Noonan syndrome 3 optimization algorithms optimum performance

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A parallel processor for distributed genetic algorithm with redundant binary number

A parallel processor for distributed genetic algorithm with ...

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International Conference on New Trends in Information and Service Science, NISS

作者： Tomohiro Kamimura Akinori Kanasugi Department of Electronics Tokyo Denki University Tokyo Japan

ISBN: (纸本)9781467308762

Genetic algorithm (GA) is one of optimization algorithm based on an idea for evolution of life. GA can be applied various combination optimization problem. This paper proposes a parallel processor for distributed genetic algorithm (DGA) with redundant binary number. Since a redundant binary number has redundancy, solution expression becomes variegated. For this reason, it is expected the algorithm easily find the optimized solution, and the error rates decrease. Since DGA is a parallel algorithm, the performance can be improved by using a specified parallel processor. The effectiveness of the proposed processor was confirmed by some simulations and experiments using FPGA circuit board.

关键词： Component Parallel processor Distributed GA Redundant binary number concurrent processor Binary digits Error analysis Genetic Algorithm (GA) Redundant optimization algorithms

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A NEW HYBRID EVOLUTIONARY optimization ALGORITHM FOR DISTRIBUTION FEEDER RECONFIGURATION

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APPLIED ARTIFICIAL INTELLIGENCE 2011年第10期25卷 951-971页

作者： Niknam, Taher Zare, Mohsen Aghaei, Jamshid Farsani, Ehsan Azad Islamic Azad Univ Sci & Environm Branch Tehran Iran Shiraz Univ Technol Dept Elect & Elect Engn Shiraz Iran

This article extends a hybrid evolutionary algorithm to cope with the feeder reconfiguration problem in distribution networks. The proposed method combines the Self-Adaptive Modified Particle Swarm optimization (SAMPSO) with Modified Shuffled Frog Leaping Algorithm (MSFLA) to proceed toward the global solution. As with other population-based algorithms, PSO has parameters which should be tuned to have a suitable performance. Thus, a self-adaptive framework is proposed to adjust the parameters dynamically. In SAMPSO, the PSO learning factors are considered to be the new control variables and are changed in the evolutionary process. To enhance the quality of the solutions, the SAMPSO is combined with MSFLA and a new hybrid algorithm is proposed to minimize the electrical energy losses of the distribution system by feeder reconfiguration. The effectiveness of the proposed method is demonstrated through two test systems.

关键词： Test systems energy losses Feeders self-adaptive Power grids HYBRID algorithms control variable Reconfiguration optimization algorithms dispensing system evolutionary algorithm parametric subharmonic oscillator

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A Distributed Anytime Algorithm for Maximizing Occupant Comfort

A Distributed Anytime Algorithm for Maximizing Occupant Comf...

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American Control Conference

作者： Arvind U. Raghunathan Sudha Krishnamurthy Mitsubishi Electric Research Labs. United Technologies Research Center

ISBN: (纸本)9781457710957

We propose a distributed, anytime optimization algorithm to maximize the thermal comfort of building occupants. We consider the building as a set of areas consisting of zones, which are coupled by the capacity of the HVAC equipment as well as the energy and mass balance relations that govern the building dynamics. The resulting non-convex, large-dimensional, constrained optimization formulation is decomposed into area-level subproblems that are solved by distributed agents. At each timestep, the agents cooperate to converge to an equilibrium solution that determines the optimal values of the building operational variables, such as temperature and rate of air flow, that maximizes the total comfort. Our experimental results show that the distributed algorithm (i) is more scalable than the centralized optimization algorithm;(ii) produces a locally optimal solution that is comparable to that resulting from the centralized approach;and (iii) yields a feasible solution even if pre-empted before equilibrium is attained.

关键词： air flow Buildings hvac equipment COMFORT optimal solution distributed algorithms Distribute optimization algorithms THERMAL COMFORT Agents

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Design Automation of Valve Gate Locations and Open Timing for Injection Molding of an Automotive Instrument Panel

Design Automation of Valve Gate Locations and Open Timing fo...

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IEEE International Conference on Automation Science and Engineering

作者： C.-H. Park B.-G. Pyo D.-H. Choi PIDOTECH Inc. VMTech Co. Ltd. Department of Mechanical Engineering Hanyang University

ISBN: (纸本)9781467304290

Valve gate locations and open timing for injection molding of an automotive instrument panel is to be determined to minimize the cavity pressure. To achieve design automation for obtaining the solution of this design problem, we first integrated MAPS-3D, a commercial injection molding analysis tool, to PIAnO, a commercial process integration and design optimization (PIDO) tool, using the file parsing technique. Then, we automated an iterative analysis and design procedure using a batch run capability provided by PIAnO. To obtain the optimal design solution, we employed a metamodel-based design optimization method combining an experimental design, a metamodel and an optimization algorithm available in PIAnO. Using the proposed design automation approach, the cavity pressure was found to decrease by 34.2% compared to the initial one, which clearly shows the validity of the proposed approach.

关键词： Computer-Aided Design Injection molding Instrument panels Optimal design VALVE GATE design problems PIANO CAVITY PRESSURE automotive engineering cavity design process optimization algorithms gates

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Coordination Strategy for Harmonic Compensation using Multiple Distributed Resources

Coordination Strategy for Harmonic Compensation using Multip...

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IEEE Power and Energy Society General Meeting

作者： Hyun-Koo Kang Il-Yop Chung Seung-Il Moon School of Electrical Eng 301-Dong Seoul National University Seoul 151-742 S. Korea School of Electrical Engineering Kookmin University Seoul Korea

ISBN: (纸本)9781467327275

Nowadays, due to the development of power electronic technology, nonlinear electronic loads using power electronic circuits are widespread in power grids. The loads can consume more reliable and high-quality power through the power conversion circuits. However, the power grids can suffer significant harmonic currents caused by these power electronic circuits. This paper proposes a new harmonic compensation method of utilizing multiple power inverters that integrate distributed resources (DRs) to a microgrid. Therefore, harmonic problems can be solved without installing additional power filters to the grids. To coordinate multiple various DGs such as small distributed generators (DGs) and battery energy storage systems (BESSs), the proposed method considers multiple objectives in terms of energy cost, generation margins of DGs and energy margins of BESSs. The optimization algorithm is constructed based on fuzzy multi-objective optimization model so that the proposed method assigns the additional output power of each DR that is needed for harmonic elimination. Simulations of the suggested coordination strategy for harmonic compensation using multiple DRs are conducted in the microgrid including two inverter-based DGs and one BESS to verify the performance of the proposed method.

关键词： Harmonic compensation Power system harmonics Multiple distributed resources control Multi-objective optimization. harmonic compensation Power grids Output power distributed energy resources Electronic circuits MICRO-GRID Electric circuits Energy sources Power conversion optimization algorithms Power (Psychology) DR

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