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

共 2030 条记录，以下是271-280 订阅

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Leveraging high Level Synthesis for the Design of Hardware Accelerators for Model Predictive Control 6

Leveraging High Level Synthesis for the Design of Hardware A...

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6th Argentine conference on Electronics (CAE)

作者： Cortes, Alfonso Aguero, Juan C. Silva, Cesar Carvajal, Gonzalo Univ Tecn Federico Santa Maria Dept Elect Valparaiso Chile

ISBN: (纸本)9798350305081

This work explores the benefits of using the high-Level Synthesis paradigm for the rapid design of FPGA-based accelerators for Model Predictive Control following a top-down design strategy. Starting from a software implementation of the operations in the control loop, we focus on leveraging typical hardware directives for parallelizing the execution of computationally demanding linear algebra operations involved in optimization algorithms, to achieve low-latency real-time operation while retaining numerical accuracy of the software counterparts with reduced design effort. The performed analysis and evaluations provide insights into the performance-cost tradeoffs when optimizing the Alternating Direction Method of Multipliers algorithm. We also derive general guidelines for tuning application-specific algorithms and deploying cost-effective FPGA accelerators to fulfill requirements for control timing intervals with relatively low coding effort.

关键词： Field Programmable Gate Array high Level Synthesis Model Predictive Control

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A nonlinear multi-agent system designed for swarm intelligence: the logistic MAS

A nonlinear multi-agent system designed for swarm intelligen...

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1st IEEE International conference on Self-Adaptive and Self-Organizing Systems (SASO 2007)

作者： Charrier, Rodolphe Bourjot, Christine Charpillet, Francois Nancy Univ LORIA Nancy France

ISBN: (纸本)9780769529066

Ant algorithms and flocking algorithms are the two main programming paradigms in swarm intelligence. They are built on stochastic models, widely used in optimization problems. However though this modeling leads to high-performance algorithms, some mechanisms, like the symmetry break in ant decision, are still not well understood at the local ant level. Moreover there is currently no modeling approach which joins the two paradigms. This paper proposes an entirely novel approach to the mathematical foundations of swarm algorithms: contrary to the current stochastic approaches, we show that an alternative deterministic model exists, which has its origin in deterministic chaos theory. We establish a reactive multi-agent system, based on logistic nonlinear decision maps, and designed according to the influence-reaction scheme. The rewriting of the decision functions leads to a new way of understanding the swarm phenomena in terms of state synchronization, and enables the analysis of their convergence behavior through bifurcation diagrams. We apply our approach on two concrete examples of each algorithm class, in order to demonstrate its general applicability.

关键词： Multi agent systems

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New Algorithm for Solving nonlinear Equations Roots

New Algorithm for Solving Nonlinear Equations Roots

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9th International conference on Intelligent Computing (ICIC)

作者： Guo, Delong Zhou, Yongquan Luo, Xiaobin Qiannan Normal Coll Natl Dept Maths Duyun Peoples R China Guangxi Univ Natl Nanning China Coll Informat Sci & engn Nanning Peoples R China

ISBN: (纸本)9783642394799;9783642394782

Traditional optimization algorithm is widely used solving nonlinear equations numerical solution problem, it is not only slow convergence speed but also easy to fall into local optimal solution and solution low precision. Adaptive membrane computing optimization algorithm is important achievement performance improvement, Firstly, the high-dimensional space split, each subspace is a basic membrane, evolutionary strategy algorithm based on basic membrane area is used to improve the local search ability and convergence speed. Basic membrane area will be local optimum timing is transmitted to the surface membrane. Particle swarm optimization (PSO) has global search ability is used surface membrane area. through simulation the paper can comparatively analyze the performance of different algorithms.

关键词： membrane computing evolutionary strategy global optimization regional

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nonlinear Multivariate optimization of Production Systems Using a Mechanistic Model

Nonlinear Multivariate Optimization of Production Systems Us...

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SPE Annual Technical conference and Exhibition, Proceedings-Mile high Meeting of the Minds

作者： Del Río-H, J. Camacho-V, R. Robles, A. González-T, F. Santamaría, N. IMP Pemex Mexico UNAM Mexico

This work presents results on the optimization of production systems performance for oil and gas reservoirs. Genetic and Polytope algorithms are used for the nonlinear optimization problem considering appropriate values of several variables like tubing string and wellhead choke diameters, separator pressure and surface pipeline diameter. The model considers several components and different methods to evaluate the pressure drop in each component. The sensitivity of each component of the system can be evaluated. This model includes a mechanistic model to predict the pressure drop due to multiphase flow for any tubing angle with upward and downward flow. The method of splines is used to eliminate the presence of pressure gradient discontinuities in flow pattern boundaries. This property of the model allows us to use optimization algorithms in an efficient manner. Several examples are presented to illustrate the methodology proposed in this work.

关键词： Oil well production

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GAME-THEORETIC RATE-DISTORTION-COMPLEXITY optimization FOR HEVC

GAME-THEORETIC RATE-DISTORTION-COMPLEXITY OPTIMIZATION FOR H...

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20th IEEE International conference on Image Processing (ICIP)

作者： Ukhanova, Anna Milani, Simone Forchhammer, Soren Tech Univ Denmark DTU Foton DK-2800 Lyngby Denmark Politecn Milan Dipartimento Elettron & Informaz I-20133 Milan Italy

ISBN: (纸本)9781479923410

This paper presents an algorithm for rate-distortion-complexity optimization for the emerging high Efficiency Video Coding (HEVC) standard, whose high computational requirements urge the need for low-complexity optimization algorithms. optimization approaches need to specify different complexity profiles in order to tailor the computational load to the different hardware and power-supply resources of devices. In this work, we focus on optimizing the quantization parameter and partition depth in HEVC via a game-theoretic approach. The proposed rate control strategy alone provides 0.2 dB improvement compared to the approach implemented in HEVC reference software, while rate-distortion-complexity optimization allows very accurate complexity control providing at the same time rate-distortion performance close to the optimal one.

关键词： Rate-distortion optimization complexity rate control HEVC game theory

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high-level system synthesis and optimization of dataflow programs for MPSoCs 50

High-level system synthesis and optimization of dataflow pro...

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50th Asilomar conference on Signals, Systems, and Computers (ASILOMARSSC)

作者： Bezati, E. Brunet, S. Casale Mattavelli, M. Janneck, J. W. Ecole Polytech Fed Lausanne EPFL SCI STI MM Lausanne Switzerland Lund Univ Dept Comp Sci Lund Sweden

ISBN: (纸本)9781538639542

The growing complexity of digital signal processing applications make a compelling case the use of high-level design and synthesis methodologies for the implementation on reconfigurable and embedded devices. Past research has shown that raising the level of abstraction of design stages does not necessarily gives penalties in terms of performance or resources. Dataflow programs provide behavioral descriptions capable of expressing both sequential and parallel algorithms and enable natural design abstractions, modularity, and portability. In this paper, a tool implementing dataflow programs onto embedded heterogeneous platforms by means of high-level synthesis, software synthesis and interface synthesis is presented for MPSoCs platfroms.

关键词： Computer architecture software Complexity theory Hardware optimization Parallel processing Hardware design languages Computer Architecture Complexity theory PARALLEL PROCESSING (COMPUTERS) Computer hardware Hardware design languages computer software data flow multiprocessor system on chip Digital signal processing synthesis level of abstraction

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GPU-Based Acceleration of the Rao optimization algorithms: Application to the Solution of Large Systems of nonlinear Equations 24th

GPU-Based Acceleration of the Rao Optimization Algorithms:...

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24th International conference on Intelligent Data Engineering and Automated Learning, IDEAL 2023

作者： Silva, Bruno Lopes, Luiz Guerreiro Doctoral Program in Informatics Engineering University of Madeira Madeira Is. Funchal Portugal Regional Secretariat for Education Science and Technology Regional Government of Madeira Funchal Portugal Faculty of Exact Sciences and Engineering University of Madeira Madeira Is. Funchal9020-105 Portugal

ISBN: (纸本)9783031482311

In this paper, parallel GPU-based versions of the three Rao metaphor-less optimization algorithms are proposed and used to solve large-scale nonlinear equation systems, which are hard to solve with traditional numerical methods, particularly as the size of the systems get bigger. The parallel implementations of the Rao algorithms were performed in Julia and tested on a high-performance GeForce RTX 3090 GPU with 10 496 CUDA cores and 24 GB of GDDR6X VRAM using a set of challenging scalable systems of nonlinear equations. The computational experiments carried out demonstrated the efficiency of the proposed GPU-accelerated versions of the Rao optimization algorithms, with average speedups ranging from 57.10 × to 315.12 × for the set of test problems considered in this study. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Graphics processing unit

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software Tool for FPGA Based MIMO Radar Applications

Software Tool for FPGA Based MIMO Radar Applications

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47th Asilomar conference on Signals, Systems, and Computers

作者： Jarrah, Amin Jamali, Mohsin M. Univ Toledo Dept Elect Engn & Comp Sci Toledo OH 43606 USA

ISBN: (纸本)9781479923908

Direct Data Domain (D-3) algorithm is very useful in Space-Time Adaptive Processing (STAP) algorithms to mitigate the effects of multipath and interference. However, the computation of D-3 is computationally intensive. A software tool is developed that is capable of auto-generating a fully optimized VHDL representation of D-3 with many user input parameters without having to write a single line of VHDL code. It will provide feedback on various performance parameters such as occupied slices, maximum frequency, and dynamic range performance. So, the designer can focus on the overall SoC performance and make adjustments to the D-3 as necessary. Many optimization techniques are used to improve throughput and latency.

关键词： Direct Data Domain (D-3) FPGA high level synthesis tools Interference cancellation VHDL

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Direct Search Simulated Annealing for nonlinear Global optimization of Rayleigh Waves

Direct Search Simulated Annealing for Nonlinear Global Optim...

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8th International conference on Intelligent Computing (ICIC)

作者： Lv, Xiaochun Gu, Hanming China Univ Geosci Inst Geophys & Geomat Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)9783642315756

nonlinear global optimization of Rayleigh wave dispersion curves not only undergoes computational difficulties associated with being easily entrapped in local minima for most local-search methods but also suffers from the high computational cost for most global optimization methods due to its multi-modality and its high nonlinearity. In order to effectively overcome the above described difficulties, we proposed a new Rayleigh wave dispersion curve inversion scheme based on Direct Search Simulated annealing (DSSA), an efficient and robust algorithm which hybridized direct search methods, as local search methods, and simulated annealing, as a meta-heuristic method. The performance of the proposed procedure is tested on a four-layer synthetic earth model and a real-world example. Results from both synthetic and real field data demonstrate that DSSA applied to nonlinear inversion of Rayleigh waves should be considered good not only in terms of computation time but also in terms of accuracy due to its global and fast convergence in the final stage of exploration.

关键词： nonlinear Global optimization Simulated annealing Genetic algorithms Artificial neural network Rayleigh waves

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Incremental SDN-Enabled Switch Deployment for Hybrid software-Defined Networks 26

Incremental SDN-Enabled Switch Deployment for Hybrid Softwar...

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26th International conference on Computer Communication and Networks (ICCCN)

作者： Huang, Meitian Liang, Weifa Australian Natl Univ Res Sch Comp Sci Canberra ACT 2601 Australia

ISBN: (纸本)9781509029914

software-defined networking (SDN) is a promising technique that has reshaped the landscape of network management. By providing simplified, cost-effective management, SDN has been envisioned as the next-generation network paradigm. However, due to economic, organizational, and technical challenges, replacing all conventional switches in current operational networks by SDN-enabled switches is impractical in the short term. It thus is desirable to deploy SDN-enabled switches into existing networks incrementally, and such a network consisting of SDN-enabled switches and conventional switches is referred to as a hybrid SDN network. The incremental deployment of SDN-enabled switches is challenging because the number of conventional switches that can be replaced is typically limited, due to budget constraints or operational network stability concerns, yet the impact of the deployment should be maximized In this paper, we deal with the SDN-enabled switch placement problem with the aim to maximize system performance, given K switches to be replaced, for which we first propose heuristics by replacing conventional switches one by one iteratively. We then devise scalable algorithms that replace multiple switches, instead of a single switch, in each iteration. We finally evaluate the performance of the proposed algorithms based on real and synthetic network topologies. Experimental results demonstrate that the proposed algorithms are promising and exhibiting high scalability.

关键词： software-defined networking hybrid networks conventional networks performance optimization

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