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检索条件"任意字段=Conference on High Performance Algorithms and Software for Nonlinear Optimization"

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How to Optimize the Cryptographic Symmetric Primitives on Loongson-2E Microprocessor

How to Optimize the Cryptographic Symmetric Primitives on Lo...

引用

22nd International Workshops on Advanced Information Networking and Applications

作者： Liu, Yong Chen, Zhong Chen, Yu Peking Univ Sch Elect Engn & Comp Sci Beijing 100871 Peoples R China

ISBN: (纸本)9781424442331

The Loongson project is the first attempt to design high performance general purpose microprocessors in China. It implements a four-issue general purpose RISC microprocessor based on 64-bit MIPS instruction set. Loongson-2E is the latest version of the project. high performance is an important design criterion for Ctyptographic symmetric primitives (include block ciphers and hash functions). This is the first paper which discusses how to optimize AES-128, SHA-256, SHA-512 and Whirlpool algorithms on Loongson-2E. Our programs are, to our best knowledge, the fastest implementations on Loongson-2E. This paper also proposed several new instructions for speedup symmetric primitives and a parallel hash function mode.

关键词： Cryptography Microprocessors Registers Application software Switches Computer architecture Parallel processing Processor scheduling Dynamic scheduling Design optimization

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Robust optimization by ε-Ranking on high Dimensional Objective Spaces

Robust Optimization by ε-Ranking on High Dimensional Object...

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7th International conference on Simulated Evolution and Learning

作者： Aguirre, Hernan Tanaka, Kiyoshi Fiber Nanotech Young Researcher Empowerment Progr 4-17-1 Wakasato Nagano 3808553 Japan Shinshu Univ Fac Engn Nagano 3808553 Japan

ISBN: (纸本)9783540896937

This work proposes a method to fine grain the ranking of solutions after they have been ranked by Pareto dominance, aiming to improve the performance of evolutionary algorithms oil many objective's optimization problems. The re-ranking method uses a randomized sampling procedure to choose, from sets of equally ranked solutions, those solutions that, will be given selective advantage,. The sampling procedure favors a good distribution of the, sampled solutions based on dominance regions wider than conventional Pareto dominance. We enhance, NSGA-II with the proposed method and test its performance on with up to M = 10 objectives. Experimental result's show that, convergence and diversity of the solutions found call improve remarkably oil 3 <= M <= 10 objectives problems.

关键词： optimization

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Design and Implementation of a Videotext Extractor on Dual-core Platform

Design and Implementation of a Videotext Extractor on Dual-c...

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3rd IEEE Asia-Pacific Service Computing conference (APSCC 2008)

作者： Fang, Chih-Lun Tsai, Tsung-Han Kuo, Ren-Chih Natl Cent Univ Dept Elect Engn Taipei Taiwan

ISBN: (纸本)9781424440993

Many videotexts exist in TV programs. Some videotexts provide valuable information. Thus, an efficient design to extract these videotexts is requested. Existing videotext extractors work on the PC platform and they are difficult to achieve real-time extraction and integration. Therefore, this work designs a videotext extractor on a dual-core platform. A distributed design framework for a dual-core platform is proposed. The extraction task is dispatched to the ARM and the DSP. The ARM core executes capture, display, control, and extraction threads. The DSP core performs algorithms. The ARM and the DSP communicate by buffers and solid channels. On the DSP side, some techniques are manipulated to optimize the videotext extractor. They include software pipeline, internal memory, adjusted program, assembly optimization, and DMA. To achieve high performance, two transferred schemes of DMA are proposed. This system is implemented on the TI Davinci DM6446 platform. All input videos are 720 x 480 with 30 fps captured from real-time DVB-T system. The simulation result shows that this extractor can process the large-size frames, and all the videotext can be extracted. With this novel architecture, the extraction speed can be enhanced to 23 frames per second.

关键词： dual-core design videotext extraction dsp optimization

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Fast intra prediction mode decision for H.264/AVC based on edge direction detection

Fast intra prediction mode decision for H.264/AVC based on e...

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5th International conference on Visual Information Engineering, VIE 2008

作者： Shi, Jijun Shi, Yunhui Yin, Baocai Beijing Key Laboratory of Multimedia and Intelligent Software Technology College of Computer Science and Technology Beijing University of Technology Beijing 100124 China

ISBN: (纸本)9780863419140

The rate-distortion optimization (RDO) technique is employed in H.264/AVC intra frame coding to achieve the best rate-distortion performance. But the computational complexity is very high because it encodes the current block by exhaustively searching all possible modes to select the best one. To reduce the computational complexity we propose a new fast algorithm based on edge direction detection (EDD) to reduce the number of candidate modes for further RDO calculation. The proposed algorithm can accurately detect the edge direction of different blocks to reduce the number of candidate modes for further RDO calculation. The simulation results show that the proposed algorithm contributes to the bit-rate reduction compared to that of previous algorithms and saves around 62% of the encoding time with negligible PSNR degradation. ©2008 The Institution of Engineering and Technology.

关键词： Computational complexity

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performance Analysis of Data Replication in Grid Delivery Networks

Performance Analysis of Data Replication in Grid Delivery Ne...

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International conference on Complex, Intelligent and software Intensive Systems, CISIS

作者： A. E. Baert V. Boudet A. Jean-Marie LIRMM CNRS Université de Montpellier Montpellier France

In this paper, we examine the data replication problem in a particular grid delivery network (GDN). In this system, the data are divided into fixed size blocks which must be replicated on hosts to decrease the total download time. We propose a probabilistic model to optimize the average download time of requests based on the hosts availability and the document size distribution. The objective function induced by this model is a nonlinear integer problem. It can be solved in real values by Lagrangian optimization. We prove that in a particular case, this problem can be reduced to a knapsack problem. We propose approximation algorithms and validate them using simulations with varying characteristics.

关键词： Floors Servers Approximation methods Approximation algorithms optimization Probabilistic logic Equations

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Low-thrust trajectory optimization tool to assess options for near-earth asteroid deflection

Low-thrust trajectory optimization tool to assess options fo...

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作者： Stahl, Benjamin A. Braun, Robert D. Georgia Institute of Technology Atlanta GA 30332 United States Guggenheim School of Aerospace Engineering Georgia Institute of Technology United States Department of Space Technology Guggenheim School of Aerospace Engineering Georgia Institute of Technology United States

ISBN: (纸本)9781563479458

In the past decade, the scientific community has become more interested in Near Earth Objects (NEOs) and the threat they pose to existence of life on this planet. The recent trend in NEO deflection technique research has been toward "slow push" techniques in order to absolve the need for sending nuclear weapons into space. A software tool was developed to assist in design and performance testing of various low-thrust deflection methods. The tool features an n-body high fidelity long term orbit propagator that allows for deflection mechanism forces to be directly applied through the equations of motion. The propagator utilizes DE405 ephemeris data for the acting bodies and was validated through comparison with JPL's HORIZONS database. A hybrid optimization algorithm featuring a genetic algorithm global search and a conjugate direction local search was also developed to optimize the thrust direction versus time for a given deflection technique. The optimizer is applicable for many different missions and objectives, and is tested with several missions designed to maximize NEO close approach miss distance. Copyright © 2008 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.

关键词： Genetic algorithms

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A comparison study on particle swarm and Evolutionary Particle Swarm optimization using capacitor placement problem

A comparison study on particle swarm and Evolutionary Partic...

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National Proceedings Power and Energy conference (PECon)

作者： Naing Win Oo Department of Electrical/Communication Engineering & Computing Curtin University of Technology Miri Malaysia

This paper reports the comparison study of particle swarm optimization (PSO) and evolutionary particle swarm optimization (EPSO) algorithms and their application to the optimal capacitor placement in radial power distribution system. Using JAVA language, software programs have been developed with PSO and 2 variant EPSO algorithms. The comparison study is then carried-out on the various versions of EPSO and PSO algorithms to analyze the performance of each algorithm in solving the capacitor placement problem. A power distribution system from Melaka, Malaysia has been used in this study. The results clearly indicate that EPSO is superior to PSO in finding the optimal solution and handling more complex, nonlinear objective functions due to its self-adaptability. However, EPSO is more computationally intense, requiring more computational time per iteration.

关键词： Particle swarm optimization Capacitors Power distribution DC generators Artificial intelligence Power system economics Power generation economics Power engineering and energy Distributed computing Power engineering computing

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Development of a New optimization Algorithm Based on Artificial Immune System and Its Application

Development of a New Optimization Algorithm Based on Artific...

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International conference on Information Technology (ICIT)

作者： Satyasai Jagannath Nanda Ganapati Panda Babita Majhi Prakash Tha Department of Electronics and Communication Engineering National Institute of Technology Rourkela India Department of Electronics and Communication Engineering KIIT University Bhubaneswar India

In resent years, research has taken an interest in design of approximation algorithms due to the requirement of these algorithms for solving many problems of science and engineering like system modeling, identification of plants, controller design, fault detection, computer security, prediction of data sets etc. The area of Artificial Immune System (AIS) is emerging as an active and attractive field involving models, techniques and applications of greater diversity. In this paper a new optimization algorithm based on AIS is developed. The proposed algorithm has been suitably applied to develop practical applications like design of a new model for efficient approximation of nonlinear functions and identification of nonlinear systems in noisy environments. Simulation study of few benchmark function approximation and system identification problems are carried out to show superior performance of the proposed model over the standard methods in terms of response matching, accuracy of identification and convergence speed achieved.

关键词： Artificial immune systems Algorithm design and analysis Function approximation Approximation algorithms Application software Data engineering Design engineering Systems engineering and theory Modeling Fault diagnosis

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Particle Swarm optimization via successive optimization in its parameter space

Particle Swarm Optimization via successive optimization in i...

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IEEE International conference on Systems, Man and Cybernetics

作者： Chen Qian Keiichiro Yasuda Department of Electrical and Electronic Engineering Tokyo Metropolitan University Hachioji Tokyo Japan

In this paper, we propose a new particle swarm optimization (PSO), which is based on successive optimization in its parameter space, in order to overcome the difficulty for applying PSO to complex and high dimensional nonlinear optimization problems. The proposed PSO consists of two types of optimization procedures; optimization in its decision variable space and optimization in its parameter space. Some numerical simulations using 6 types of typical benchmark problems verify the performance of the proposed PSO.

关键词： Particle swarm optimization optimization methods Algorithm design and analysis Numerical simulation Genetic algorithms Simulated annealing Genetic engineering Design engineering Stochastic processes Animals

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performance optimization algorithm for DDR interface

Performance optimization algorithm for DDR interface

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IET Irish Signals and Systems conference (ISSC 2008)

作者： Pawel Ostropolski Patrick Fleming Shannon Design Centre Intel Shannon Company

ISBN: (纸本)9780863419317

While the demand for memory capacity and performance continues to increase, current DDR memory implementations start to encounter limitations. At high data rates of 533MT/s and above, it becomes increasingly difficult to support different combinations of DDR raw card types on the same platform due to the possible variations in load. This paper outlines a method of maximizing the DDR bus performance by utilizing hardware circuitry in the memory controller in connection with software algorithms to adjust the DDR transaction timing relationships based on the populated memory configuration. The algorithm also compensate for the effects of ageing over the lifetime of the part. The techniques used in this work are related to DDR-2 but could also be applicable to DDR-3 and future technologies.

关键词： DDR2 Bus Turnaround Time DDR2 Memory Controller software algorithms Future technologies memory capacity Data transfer rates memory configuration Aging algorithms

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