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 optimiza...
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The proceedings contains 49 papers. Topics discussed include applications of nonlinear analysis in structural design, structural system optimization, highperformance computing, base isolated structures, computer mode...
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The proceedings contains 49 papers. Topics discussed include applications of nonlinear analysis in structural design, structural system optimization, highperformance 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.
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 experiment...
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 nonlinearoptimization;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.
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. Au...
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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 nonlinearoptimization 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
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;digi...
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 highperformance 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.
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 ...
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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/softwareoptimization 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.
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 optim...
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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.
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 ...
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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 performanceoptimization under hardware and software cost constraints. Experimental results are presented.
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 ...
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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.
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 nonlinearoptimization. This approach is able to select the m...
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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 nonlinearoptimization. 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 nonlinearoptimization 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.
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