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Utilizing object-oriented design to build advanced optimization strategies with generic implementation 6th

Utilizing object-oriented design to build advanced optimizat...

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6th AIAA/NASA/ISSMO Symposium on Multidisciplinary Analysis and optimization, 1996

作者： Eldred, M.S. Hart, W.E. Bohnhoff, W.J. Romero, V.J. Hutchinson, S.A. Salinger, A.G. Structural Dynamics Dept Mail Stop 0439 United Kingdom SMTS Algorithms and Discrete Math Dept Mail Stop 1110 United Kingdom SMTS Intelligent Systems Dept Mail Stop 1177 United Kingdom SMTS Thermal Sciences Dept Mail Stop 0835 United Kingdom SMTS Parallel Computational Sciences Dept Mail Stop 1111 United Kingdom Parallel Computational Sciences Dept Mail Stop 1111 United Kingdom

The benefits of applying optimization to computational models are well known, but their range of widespread application to date has been limited. This effort attempts to extend the disciplinary areas to which optimization algorithms may be readily applied through the development and application of advanced optimization strategies capable of handling the computational difficulties associated with complex simulation codes. Towards this goal, a flexible software framework is under continued development for the application of optimization techniques to broad classes of engineering applications, including those with high computational expense and nonsmooth, nonconvex design space features. Object-oriented software design with C++ has been employed as a tool in providing a flexible, extensible, and robust multidisciplinary toolkit that establishes the protocol for interfacing optimization with compulationally-intensive simulations. In this paper, demonstrations of advanced optimization strategies using the software are presented in the hybridization and parallel processing research areas. performance of the advanced strategies is compared with a benchmark nonlinear programming optimization. © 1996 by the American Institue of Aeronautics & Astronautics, Inc. All rights reserved.

关键词： C++ (programming language)

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Proceedings of the 1996 12th conference on Analysis and Computation

Proceedings of the 1996 12th Conference on Analysis and Comp...

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Proceedings of the 1996 12th conference on Analysis and Computation

The proceedings contains 49 papers. Topics discussed include applications of nonlinear analysis in structural design, structural system optimization, high performance computing, base isolated structures, computer models for life cycle of building projects, intelligent structures, semiactive and hybrid control of structures, concurrent engineering and application to structural engineering software, bridge analysis and design.

关键词： Structural analysis

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6th AIAA/NASA/ISSMO Symposium on Multidisciplinary Analysis and optimization, 1996

6th AIAA/NASA/ISSMO Symposium on Multidisciplinary Analysis ...

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6th AIAA/NASA/ISSMO Symposium on Multidisciplinary Analysis and optimization, 1996

The proceedings contain 204 papers. The special focus in this conference is on Multidisciplinary Analysis and optimization. The topics include: Wing design for a high-speed civil transport using a design of experiments methodology;a collocation method for aeroelastic optimization;multidisciplinary optimization on an advanced composite wing;conceptual design optimization of composite wings with aeroelastic and strength constraints;automatic differentiation in robust optimization;sequentially decomposed programming;tuning PID controllers using error-integral criteria and numerical optimization;optimization of a generic fighter wing incorporating active aeroelastic wing technology;aeroelastic analysis of modern complex wings;integrated solution for computational static aeroelastic problems;aeroservoelastic design and analysis by nonlinear optimization;an efficient procedure for cascade aeroelastic stability analysis using an euler time domain solver;application of hybrid optimization technique for improved aeroelastic performance of composite wings;total derivative-based coupling suspension for system reduction in complex design;implementation and performance issues in collaborative optimization;use of the collaborative optimization architecture for launch vehicle design;concurrent subspace optimization using gradient-enhanced neural network approximations;concurrent subspace optimization for mixed-variable coupled engineering systems;multi-level simulation and numerical optimization of complex engineering designs;bi-objective optimization of components packing using a genetic algorithm;improving genetic algorithm efficiency and reliability in the design and optimization of composite structures;genetic algorithm approaches for multiobjective design of rotor systems;parameter estimation of a human factors model using genetic algorithms and optimisation of aerodynamic and coupled aerodynamic-structural design using parallel genetic algorithms.

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optimization of custom MOS circuits by transistor sizing

Optimization of custom MOS circuits by transistor sizing

引用

Proceedings of the 1996 IEEE/ACM International conference on Computer-Aided Design

作者： Conn, Andrew R. Coulman, Paula K. Hating, Ruud A. Morrill, Gregory L. Visweswariah, Chandu IBM T. J. Watson Research Cent Yorktown Heights United States

optimization of a circuit by transistor sizing is often a slow, tedious and iterative manual process which relies on designer intuition. Circuit simulation is carried out in the inner loop of this tuning procedure. Automating the transistor sizing process is an important step towards being able to rapidly design high-performance, custom circuits. JiffyTune is a new circuit optimization tool that automates the tuning task. Delay, rise/fall time, area and power targets are accommodated. Each (weighted) target can be either a constraint or an objective function. Minimax optimization is supported. Transistors can be ratioed and similar structures grouped to ensure regular layouts. Bounds on transistor widths are supported. JiffyTune uses LANCELOT, a large-scale nonlinear optimization package with an augmented Lagrangian formulation. Simple bounds are handled explicitly and trust region methods are applied to minimize a composite objective function. In the inner loop of the optimization, the fast circuit simulator SPECS is used to evaluate the circuit. SPECS is unique in its ability to efficiently provide time-domain sensitivities, thereby enabling gradient-based optimization. Both the adjoint and direct methods of sensitivity computation have been implemented in SPECS. To assist the user, interfaces in the Cadence and SLED design systems have been constructed. These interfaces automate the specification of the optimization task, the running of the optimizer and the back-annotation of the results on to the circuit schematic. JiffyTune has been used to tune over 100 circuits for a custom, high-performance microprocessor that makes use of dynamic logic circuits. Circuits with over 250 tunable transistors have been successfully optimized. Automatic circuit tuning has been found to facilitate design re-use. The designers' focus shorts from solving the optimization problem to specifying it correctly and completely. This paper describes the algorithms of JiffyTune, the environ

关键词： Application specific integrated circuits

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3rd International Workshop on Applied Parallel Computing Industrial Computation and optimization, PARA 1996

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3rd International Workshop on Applied Parallel Computing in Industrial Problems and optimization, PARA 1996

ISBN: (纸本)3540620958

The proceedings contain 76 papers. The special focus in this conference is on Applied Parallel Computing Industrial Computation and optimization. The topics include: performance tuning IBM RS/6000 POWER2 systenls;digital image processing;use of parallel computations for account of options by a monte carlo method;wavelets and differential equations;from first princlples to industrial applications;parallel implementation of a schwarz domain decomposition algorithm;practical experience in the dangers of heterogeneous computing;coupling the advection and the chemical parts of large air pollution models;advanced optimizations for parallel irregular out-of-core programs;a software architecture for massively parallel input-output;spatial genetic algorithm and its parallel implementation;addressing algebra as a tool for parallel program development;optimizing the NAS BT application for the POWER CHALLENGEarray;providing access to high performance computing technologies;parallel object-oriented library of genetic algorithms;monitoring of performance of PVM applications on virtual network computer;a parallel version of the quasi-minimal residual method based on coupled two-term recurrences;a proposal for parallel sparse BLAS;parallel search-based methods in optimization;an hierarchical approach for performance analysis of scaLAPACK-based routines using the distributed linear algebra machine;scaLAPACK tutorial;bulk synchronous parallelisation of genetic programming;frontal software for the solution of sparse linear equations;parallel heuristics for bandwidth reduction of sparse matrices with IBM SP2 and cray T3D;parallel libraries on distributed memory architectures;parallel least squares estimates of 2-D spect image reconstructions on the SGI power challenge and the prospect for parallel computing in the oil industry.

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high speed video board as a case study for hardware-software co-design

High speed video board as a case study for hardware-software...

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IEEE International conference on Computer Design: VLSI in Computers and Processors, (ICCD)

作者： D. Herrmann E. Maas M. Trawny R. Ernst P. Ruffer M. Seitz S. Hasenzahl Tech. Univ. Braunschweig Germany Vechnische Universität Braunschweig Germany Broadcast Television Systems ICC Weiterstadt Germany

We present experiences with the hardware/software co-design of a high-performance video board using co-synthesis and high-level synthesis tools. Consisting of a multiprocessor DSP, a coprocessor, 4 local memory banks and interface and switching circuits, the board executes one of two professional studio algorithms with very different characteristics. This board could replace a much larger system currently in use. While the CAD tools allowed for a widely automated what-if analysis and were also used for most of the final design. The design process also highlighted some missing links in an optimizing co-design of high-performance systems. These missing links still prevent an efficient hardware/software optimization process. Flexibility requirements played an important role in the design process and had a massive impact on the target architecture, the hardware/software distribution, and the tool application.

关键词： Hardware software tools Process design high level synthesis Digital signal processing Coprocessors Switching circuits Design automation Design optimization Application software

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optimization of standard cell libraries for low power, high speed, or minimal area designs

Optimization of standard cell libraries for low power, high ...

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Custom Integrated Circuits conference (CICC)

作者： C. Fisher R. Blankenship J. Jensen T. Rossman K. Svilich Cascade Design Automation Corporation Bellevue WA USA

A methodology for optimization of device sizes in CMOS standard cell libraries is described. The libraries are generated by compilers that allow for design rule and device size parameterization. Device sizes are optimized to achieve a low power, high speed, or minimal layout area cell library. The device sizing algorithms have been exercised on more than 80 different processes from 25 silicon foundries. This paper describes the three sizing algorithms and presents cell performance data and results from standard cell designs implemented with the three cell libraries.

关键词： Design optimization MOS devices Power supplies software libraries Silicon Power dissipation Delay Capacitance MOSFETs Design automation

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Hardware/software partitioning of VHDL system specifications

Hardware/software partitioning of VHDL system specifications

引用

European Design Automation conference

作者： P. Eles Zebo Peng K. Kuchcinski A. Doboli Department of Computer and Information Science Linköping University Sweden Computer Science and Engineering Department Technical University of Timisoara Romania

This paper presents an approach far system level specification and hardware/software partitioning with VHDL. The implications of using VHDL as a specification language are discussed and a message passing mechanism is proposed for process interaction. We define the metric values for partitioning and develop a cost function that guides our heuristics towards performance optimization under hardware and software cost constraints. Experimental results are presented.

关键词： Hardware Partitioning algorithms Microprocessors Costs Communication system software Simulated annealing Specification languages high level synthesis Coprocessors Signal synthesis

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SPERT-II: a vector microprocessor system and its application to large problems in backpropagation training

SPERT-II: a vector microprocessor system and its application...

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International conference on Microelectronics for Neural Networks

作者： J. Wawrzynek K. Asanovic B. Kingsbury J. Beck D. Johnson N. Morgan Department of Electrical Engineering and Computer Sciences University of California Berkeley Berkeley CA USA International Computer Science Institute Berkeley CA USA

We report on the development of a high-performance system for neural network and other signal processing applications. We have designed and implemented a vector microprocessor and packaged it as an attached processor for a conventional workstation. We present performance comparisons with workstations on neural network backpropagation training. The SPERT-II system demonstrates roughly 15 times the performance of a mid-range workstation and five times the performance of a high-end workstation with extensive hand-optimization of both workstation versions.

关键词： Microprocessors Backpropagation Workstations Instruction sets Application software Neural networks Signal processing algorithms Hardware VLIW Computer architecture

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Fuzzy rule extraction by a genetic algorithm and constrained nonlinear optimization of membership functions

Fuzzy rule extraction by a genetic algorithm and constrained...

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IEEE International conference on Fuzzy Systems (FUZZ-IEEE)

作者： O. Nelles M. Fischer B. Muller Institute of Automatic Control Laboratory of Control Engineering and Process Automation Technical University of Darmstadt Darmstadt Germany

We propose a new method for fuzzy rule extraction from data by a genetic algorithm and a fine tuning of the extracted membership functions by a constrained nonlinear optimization. This approach is able to select the most significant rules out of a set of all possible ones, that is it learns the rule structure by itself. The genetic algorithm does not limit the kind of operator and the number and form of the membership functions for the inputs. However, in order to utilize linear optimization techniques, singletons and center of gravity defuzzification are used on the output side. Since each rule premise may include a conjunction of a variable number of inputs (between one and the input dimension), the "curse of dimensionality" can be overcome, that is the number of rules does not increase exponentially with the input dimension. This feature makes the proposed algorithm especially attractive for interpretation of high dimensional nonlinear mappings that are hard to visualize. The strategy followed by the nonlinear optimization of the fuzzy input membership functions focuses on a good interpretability rather than on best approximation performance. This will be demonstrated on a real world data example.

关键词： Genetic algorithms Constraint optimization Fuzzy systems Fuzzy control Data mining Convergence Neural networks Backpropagation Gaussian processes Automatic control

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