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Optimizing the architecture of distributed shared memory systems in real time applicatons 07

Optimizing the architecture of distributed shared memory sys...

international Conference on Computer Systems and Technologies and workshop for PhD Students in Computing, CompSysTech '07

作者： Peytchev, Evtim T. Khalil, Mohamed A. School of Computing and Informatics Nottingham Trent University Clifton Lane Nottingham NG11 8NS United Kingdom

ISBN: (纸本)9789549641509

The increasing demands of distributed and parallel applications require sufficiently high-performance distributed shared memory algorithms capable of providing the service almost steadily. Past and recent decades witnessed the introduction of number of algorithms and strategies aim at tuning and optimizing the performance of distributed systems and at extending the scalability of the systems. This paper presents a new strategy that adjoins an intermediate level of control to the system to scale up the performance via relieving the overhead at the main server. This strategy can be implemented at both setup- and run-time. The findings indicate that the performance of DSM systems can be improved significantly with this strategy. © 2007 ACM.

关键词： optimization

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Computational Optimal Control 1

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丛书名： international Series of Numerical Mathematics

1000年

作者： R. Bulirsch D. Kraft

ISBN: (数字)9783034884976

ISBN: (纸本)9783764350154;9783034896504

Resources should be used sparingly both from a point of view of economy and eco logy. Thus in controlling industrial, economical and social processes, optimization is the tool of choice. In this area of applied numerical analysis, the international FEDERATION OF AUTOMATIC CONTROL (IFAC) acts as a link between research groups in universities, national research laboratories and industry. For this pur pose, the technical committee Mathematics of Control of IFAC organizes biennial conferences with the objective of bringing together experts to exchange ideas, ex periences and future developments in control applications of optimization. There should be a genuine feedback loop between mathematicians, computer scientists, engineers and software developers. This loop should include the design, application and implementation of algorithms. The contributions of industrial practitioners are especially important. These proceedings contain selected papers from a workshop on CONTROL Ap PLICATIONS OF optimization, which took place at the Fachhochschule Miinchen in September 1992. The workshop was the ninth in a series of very successful bien nial meetings, starting with the Joint Automatic Control Conference in Denver in 1978 and followed by conferences in London, Oberpfaffenhofen, San Francisco, Ca pri, Tbilisi and Paris. The workshop was attended by ninety researchers from four continents. This volume represents the state of the art in the field, with emphasis on progress made since the publication of the proceedings of the Capri meeting, edited by G. di Pillo under the title 'Control applications of optimization and Nonlinear Programming'.

关键词： Control and Systems Theory Systems Theory, Control Calculus of Variations and Optimal Control optimization Economic Theory/Quantitative Economics/Mathematical Methods Math. applications in Chemistry Computational Intelligence

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Learning Based Approaches to Engine Mapping and Calibration optimization

Learning Based Approaches to Engine Mapping and Calibration ...

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optimization and Optimal Control in Automotive Systems: workshop organized by the Austrian Center of Competence in Mechatronics, ACCM 2013

作者： Filev, Dimitar Wang, Yan Kolmanovsky, Ilya Research and Advanced Engineering Ford Motor Company Dearborn MI United States Department of Aerospace Engineering The University of Michigan Ann Arbor MI United States

ISBN: (纸本)9783319053707

In this chapter we consider a class of optimization problems arising in the process of automotive engine mapping and calibration. Fast optimization algorithms applicable to high fidelity simulation models or experimental engines can reduce the time, effort and costs required for calibration. Our approach to these problems is based on iterations between local model identification and calibration parameter (set-points and actuator settings) improvements based on the learned surrogate model. Several approaches to algorithm implementation are considered. In the first approach, the surrogate model is defined in a linear incremental form and its identification reduces to Jacobian Learning. Then quadratic programming is applied to adjust the calibration parameters. In the second approach, we consider a predictor-corrector algorithm that estimates the change in the minimizer based on changing operating conditions before correcting it. Case studies are described that illustrate the applications of algorithms. © Springer international Publishing Switzerland 2014.

关键词： Calibration

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BLOCK algorithms WITH AUGMENTED RAYLEIGH-RITZ PROJECTIONS FOR LARGE-SCALE EIGENPAIR COMPUTATION

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Journal of Computational Mathematics 2019年第6期37卷 889-915页

作者： Haoyang Liu Zaiwen Wen Chao Yang Yin Zhang Beijing International Center for Mathematical Research Peking UniversityBeijing 100871China Computational Research Division Lawrence Berkeley National LaboratoryBerkeleyCAUSA Department of Computational and Applied Mathematics Rice UniversityHoustonUSA

Most iterative algorithms for eigenpair computation consist of two main steps:a subspace update(SU)step that generates bases for approximate eigenspaces,followed by a Rayleigh-Ritz(RR)projection step that extracts approximate *** far the predominant methodology for the SU step is based on Krylov subspaces that builds orthonormal bases piece by piece in a sequential *** this work,we investigate block methods in the SU step that allow a higher level of concurrency than what is reachable by Krylov subspace *** achieve a competitive speed,we propose an augmented Rayleigh-Ritz(ARR)*** this ARR procedure with a set of polynomial accelerators,as well as utilizing a few other techniques such as continuation and deflation,we construet a block algorithm designed to reduce the number of RR steps and elevate concurrency in the SU *** computational experiments are conducted in C on a representative set of test problems to evaluate the performance of two variants of our *** results,obtained on a many-core computer without explicit code parallelization,show that when computing a relatively large number of eigenpairs,the performance of our algorithms is competitive with that of several state-of-the-art eigensolvers.

关键词： Extreme eigenpairs Augmented Rayleigh-Ritz projection

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On a solution of fractional programs via D.C. optimization theory 8

On a solution of fractional programs via D.C. optimization t...

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8th international Conference on optimization and applications, OPTIMA 2017

作者： Gruzdeva, Tatiana V. Strekalovsky, Alexander S. Matrosov Institute for System Dynamics and Control Theory of SB RAS Lermontov str. 134 Irkutsk664033 Russia

This paper addresses the problems of fractional programming which data is given by d.c. functions. Such problems are, in general, nonconvex (with numerous local extrema). We develop an efficient global search method for fractional program based on two different approaches. The first approach develops the Dinkelbach's idea and uses a solution of an equation with the optimal value of an auxiliary d.c. optimization problem with a vector parameter. The second one deals with another auxiliary problem with nonconvex inequality constraints. Both auxiliary problems are d.c. optimization problems, which allows us to apply the Global optimization Theory and develop two corresponding global search algorithms. The algorithms have been substantiated and tested on an extended set of sum-of-ratios problems with up to 200 variables and 200 terms in the sum. Also we propose an algorithm for solving problems of fractional programming, which combines the two approaches. © Copyright by the paper's authors.

关键词： Global optimization

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Cloud-based Approach on Genetic Data Imputation Parameters' optimization 7

Cloud-based Approach on Genetic Data Imputation Parameters' ...

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7th international Conference on Informatics and Data-Driven Medicine, IDDM 2024

作者： Horun, Pavlo Strauss, Chirstine Lviv Polytechnic National University Kniazia Romana St. 5 Lviv79000 Ukraine University of Vienna Oskar Morgenstern Platz 1 Vienna1090 Austria

The imputation process for genetic data is cost and time-intensive, primarily due to the high complexity of the methods involved, and the substantial volume of data processed. A thorough performance evaluation of the imputation algorithms such as Beagle, AlphaPlantImpute, LinkImputeR, MACH and others shows that while some algorithms are highly accurate, they are often computationally expensive. Being widely used, they have multiple input parameters which impact the quality and accuracy of the imputation. Traditional machine learning techniques for parameter optimization like grid search and randomized search become inefficient in high-dimensional parameter spaces, leading to prohibitive computational costs, especially in large-scale applications. Our study proposes the cloud-based approach for input parameters optimization by using Bayesian optimization with consecutive Domain Reduction Transformer (DRT). Described algorithm and developed library allow users to find the optimal input parameters for the data imputation in a more flexible way. © 2024 CEUR-WS. All rights reserved.

关键词： Bayesian optimization Beagle bioinformatics 1 cloud technologies data imputation distributed calculations parameters optimization

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Artificial Intelligence: The 2013 WorldComp international Conference Proceedings

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2014年

作者： Hamid R Arabnia

ISBN: (纸本)9781601322470

Hamid R. Arabnia, David de la Fuente, Elena B. Kozerenko, Peter M. LaMonica, Raymond A. Liuzzi, Todd Waskiewicz, George Jandieri, Ashu M. G. Solo, Ivan Nunes da Silva, Fernando G. Tinetti, and Fadi Thabtah (Editors)Artificial Intelligence is a compendium of articles and papers that were presented at ICAI '13, an international conference that serves researchers, scholars, professionals, students, and academicians. Selected topics include agent technologies and applications, natural language processing and related methods, and fuzzy logic, etc. Selected Sessions and Topics for example: Agent Technologies and applications international workshop on Intelligent Linguistic Technologies - Ilintec'13 Natural Language Processing and Related Methods Knowledge Discovery and Learning Swarm optimization algorithms and applications Knowledge And Information Representation, Processing, Engineering, Acquisition Methods and applications Prediction and Forecasting Methods + Human Activity Discovery Fuzzy Logic and applications + Cognitive Science and Systems + Quantum Logic and Computing Heuristic Search + Information Retrieval + Pattern and Similarity Analysis Artificial Intelligence, algorithms, Novel applications and Concepts Evolutionary Systems, Genetic algorithms, Genetic Programming and applications applications of Advanced AI Techniques to Information Management For Solving Company-Related Problems Learning and applications - In Particular, as it Relates to Mapreduce and Phishing Detection Expert Systems for Intelligent Automation Purposes in Power Systems NLP, Machine Learning, Text Mining, OCR, Intelligent Systems, Fuzzy Logic, Learning and Decision Making Methods, Visualization, and applications Neural Networks, Databases, Cognition and Classification Methods, Clustering, Intelligent Systems, Machine Learning, AI applications and algorithms

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algorithms for Motion optimization on a Given Trajectory Taking into Account Weather Forecast and Constraints

Algorithms for Motion Optimization on a Given Trajectory Tak...

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17th IFAC Technical-Committee-on-Optimal-Control (TC 2.4) workshop on Control applications of optimization (CAO)

作者： Sotnikova, Margarita V. Veremey, Evgeny I. St Petersburg State Univ Dept Comp Applicat & Syst St Petersburg Russia

The paper is devoted to the problem of motion optimization of a ship on a given long trajectory with respect to weather forecast and additional constraints. This problem has practical meaning for long distances, where saving of fuel consumption and reducing travel time is of significant importance. A finite-dimensional formulation of the optimization problem is considered taking into account the mathematical model of ship motion, weather forecast, constraints and given cost functionals. The computational algorithms for calculation of travel time and fuel consumption are proposed. The main result is presented by the algorithm for optimizing the velocity distribution on a given trajectory. This algorithm is based on the representation of the route of motion on a fixed trajectory in two-dimensional space. The obtained results are demonstrated by illustrative examples. (C) 2018, IFAC (international Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

关键词： weather routing optimization transportation logistics safety marine system control

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Proceedings of the 19th international workshop on Software and Compilers for Embedded Systems, SCOPES 2016

Proceedings of the 19th International Workshop on Software a...

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19th international workshop on Software and Compilers for Embedded Systems, SCOPES 2016

ISBN: (纸本)9781450343206

The proceedings contain 26 papers. The topics discussed include: cross-layer reliability modeling and optimization: compiler and run-time system interactions;compiler-directed data locality optimization in MATLAB;scalable DFA compilation for high-performance regular-expression matching;a rule-based methodology for hardware configuration validation in embedded systems;in-place update in a dataflow synchronous language: a retiming-enabled language experiment;introducing MoC drivers for the integration of sensor-actuator behaviors in model-based design flows of embedded systems;cache-aware instruction SPM allocation for hard real-time systems;practical challenges of ILP-based SPM allocation optimizations;determining performance boundaries on high-level system specifications;compositional temporal analysis method for fixed priority pre-emptive scheduled modal stream processing applications;and machine learning approach to generate Pareto front for list-scheduling algorithms.

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A Band Selection Method for Hyperspectral Image Based on Binary Coded Hybrid Rice optimization Algorithm 11

A Band Selection Method for Hyperspectral Image Based on Bin...

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11th IEEE international Conference on Intelligent Data Acquisition and Advanced Computing Systems - Technology and applications (IDAACS)

作者： Ye, Zhiwei Liu, Shiqin Zong, Xinlu Shu, Zhe Xia, Xiaoyu Hubei Univ Technol Sch Comp Sci Wuhan Peoples R China

ISBN: (纸本)9781665426053

Hyperspectral image analysis is one of the most important topics in the field of remote sensing. As the band dimension of hyperspectral image increases, it may cause a curse of dimensionality. Band selection could choose a subset of bands that is the most effective for classification recognition to achieve dimensionality reduction. Furthermore, binary coding is more suitable for solving the band selection problem. Therefore, a band selection method for hyperspectral image based on binary coded hybrid rice optimization algorithm is proposed in the paper. The band selection problem is solved as a combinatorial optimization problem by defining an objective function based on the classification accuracy and the number of bands. The proposed method is compared with other nature-inspired algorithms on Indian Pines, Salinas, Kennedy Space Center, and Pavia University hyperspectral datasets. Experimental results demonstrate that the proposed method achieves satisfactory results in terms of performance and execution time for band selection.

关键词： hyperspectral image band selection hybrid rice optimization algorithm image processing

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