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Proceedings of the Nordic Signal Processing Symposium (NORSIG)

作者： D. Heric B. Potocnik Faculty of Laboratory of Electrical Engineering and Computer Science System Software Laboratory University of Maribor Maribor Slovenia

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Algorithmic-Parameter optimization of a parallelized split-step fourier transform using a modified BSP cost model 04

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Proceedings of the Second international conference on Parallel and Distributed Processing and Applications

作者： Elankovan Sundararajan Malin Premaratne Shanika Karunasekera Aaron Harwood Department of Computer Science and Software Engineering The University of Melbourne Carlton Victoria Australia Advanced Computing and Simulation Laboratory Department for Electrical and Computer System Engineering Monash University Clayton Victoria Australia

ISBN: (纸本)9783540241287

Adaptive algorithms are increasingly acknowledged in leading parallel and distributed research. In the past, algorithms were manually tuned to be executed efficiently on a particular architecture. However, interest has shifted towards algorithms that can adapt themselves to the computational resources. A cost model representing the behavior of the system (i.e. system parameters) and the algorithm (i.e algorithm parameters) plays an important role in adaptive parallel algorithms. In this paper, we contribute a computational model based on Bulk Synchronous Parallel processing that predicts performance of a parallelized split-step Fourier transform. We extracted the system parameters of a cluster (upon which our algorithm was executed) and showed the use of an algorithmic parameter in the model that exhibits optimal behavior. Our model can thus be used for the purpose of self-adaption.

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Algorithmic-parameter optimization of a parallelized split-step Fourier transform using a modified BSP cost model

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2004年 3358卷 233-244页

作者： Sundararajan, Elankovan Premaratne, Malin Karunasekera, Shanika Harwood, Aaron Department of Computer Science and Software Engineering University of Melbourne ICT Building 111 Barry Street Carlton Vic. 3053 Australia Advanced Computing and Simulation Laboratory Department for Electrical and Computer System Engineering Monash University Clayton Vic. 3800 Australia

关键词： Adaptive algorithms

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Self-adapting, self-optimizing runtime management of Grid applications using PRAGMA

Self-adapting, self-optimizing runtime management of Grid ap...

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International Parallel and Distributed Processing Symposium, IPDPS 2003

作者： Zhu, H. Parashar, M. Yang, J. Zhang, Y. Rao, S. Hariri, S. Applied Software System Laboratory Dept. of Electrical and Computer Engineering Rutgers State University of New Jersey PiscatawayNJ08854 United States High Performance Distributed Computing Dept. of Electrical and Computer Engineering University of Arizona TucsonAZ85721 United States

ISBN: (纸本)0769519261

The emergence of the computational Grid and the potential for seamless aggregation, integration and interactions has made it possible to conceive a new generation of realistic, scientific and engineering simulations of complex physical phenomena. The inherently heterogeneous and dynamic nature of these application and the Grid presents significant runtime management challenges. In this paper we extend the PRAGMA framework to enable self adapting, self optimizing runtime management of dynamically adaptive applications. Specifically, we present the design, prototype implementation and initial evaluation of policies and mechanisms that enable PRAGMA to autonomically manage, adapt and optimize structured adaptive mesh refinement applications (SAMR) based on current system and application state and predictive models for system behavior and application performance. We use the 3-D adaptive Richtmyer-Meshkov compressible fluid dynamics application and Beowulf clusters at Rutgers University, University of Arizona, and NERSC to develop our performance models, and define and evaluate our adaptation policies. In our prototype, the predictive performance models capture computational and communicational loads and, along with current system state, adjust processors capacities at runtime to enable the application to adapt and optimize its performance. © 2003 IEEE.

关键词： Three dimensional computer graphics

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Architecture of the virtual training system for buoyancy control 03

Architecture of the virtual training system for buoyancy con...

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9th EUROGRAPHICS Workshop on Virtual Environments, EGVE 2003

作者： Korošec, Dean Slavinec, Mitja Bernad, Dani Kolarič, Primož Prnaver, Katja University of Maribor Faculty of Electrical Engineering and Computer Science System Software Laboratory Slovenia University of Maribor Faculty of Education Department of Physics Slovenia Regional Development Agency Mura Murska Sobota Slovenia

ISBN: (纸本)1581136862

In this paper we present the structure of the simulator which would allow diving beginners to experience the effect of buoyancy control mechanisms before actually entering the *** believe such training would be less stressful and safer for all participants, but it should also reduce the time in water needed to manage basic practical diving skills. Central design requirements for the system were: realistic modelling of diving physics, various options of man-machine interface and possibility of immersion. With future studies we plan to clarify to what extent the immersive VR interfaces are able to further improve the diving training experience. © 2003 The Eurographics Association.

关键词： E-learning

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Self-adapting, self-optimizing runtime management of Grid applications using PRAGMA

Self-adapting, self-optimizing runtime management of Grid ap...

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： H. Zhu M. Parashar J. Yang Y. Zhang S. Rao S. Hariri The Applied Software System Laboratory Department of Electrical and Computer Engineering Rutgers State University of New Jersey Piscataway NJ USA High Performance Distributed Computing Department of Electrical and Computer Engineering University of Arizona Tucson Tucson AZ USA

关键词： Runtime Disaster management Computational modeling Prototypes Predictive models Grid computing Physics computing Mesh generation Design engineering Design optimization

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Pragma: An infrastructure for runtime management of grid applications 16

Pragma: An infrastructure for runtime management of grid app...

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16th International Parallel and Distributed Processing Symposium, IPDPS 2002

作者： Parashar, M. Hariri, S. Applied Software System Laboratory Rutgers the State University of New Jersey PiscatawayNJ08854 United States Dept. of Electrical and Computer Engineering University of Arizona TucsonAZ85721 United States

ISBN: (纸本)0769515738

This paper presents an overview of Pragma, an adaptive runtime infrastructure capable of reactively and proactively managing and optimizing application execution using current system and application state, predictive models for system behavior and application performance, and an agent based control network. The overarching motivation for this research is to enable the next generation of very largescale dynamically adaptive scientific and engineering simulations on widely distributed and highly heterogeneous and dynamic execution environments such as the computational "grid". Pragma combines 4 key components: system characterization and abstraction component, application characterization component, active network control, and policybase. The design of Pragma is driven by three astrophysical simulations chosen to be representative of a wide variety of important simulations and to expose many of the problems presently encountered (and currently unsolved) by computational physicists. The design, prototype implementation, and preliminary evaluations of Pragma components are presented. © 2002 IEEE.

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Pragma: an infrastructure for runtime management of grid applications

Pragma: an infrastructure for runtime management of grid app...

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International Symposium on Parallel and Distributed Processing (IPDPS)

作者： M. Parashar S. Hariri The Applied Software System Laboratory Rutgers State University of New Jersey Piscataway NJ USA Department of Electrical and Computer Engineering University of Arizona Tucson Tucson AZ USA

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An autonomous pollution detectant system for safety-and security services 6

An autonomous pollution detectant system for safety-and secu...

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6th International Conference on Optimization of electrical and Electronic Equipments, OPTIM 1998

作者： Arndt, Markus Sowa, Norman Holzhausen, Klaus-Peter University of Applied Sciences of Bochum Department of Electrical Engineering Laboratory of Artifical Intelligence Computer Graphics and System Software Lennershofstraße 140 BochumD-44801 Germany

ISBN: (纸本)9739851126

Service Robotics today requires developing a variety of robotic payload systems all installable on a common mobile robotic base. Kiss-lab (Labor fur Kiinstli-che Intelligenz, Graphische Datenverarbeitung und Sys~ temsoftware of the University of Applied Sciences Bochum), developed a number of such payload systems being operative on a RWI B21 mobile robot base unit. They serve a prototype and technology demonstrator for a future family of service robots. The described payload robot serves the purpose of pollutant detection. The technical concept and construction are described. Results testing the prototype are also given. Mobile pollutant detection systems' performance depend on a number of factors including but not restricted to the selection and performance of sensors, the appropriate strategy of using locomotion in order to identify the source of emission and/or the gas concentration in certain areas. The project was successful but should initiate more research in the defined problem areas. © 1998 Institute of electrical and Electronics Engineers Inc. All rights reserved.

关键词： Mobile robots

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Analysis of superimposed signals using time-scale phase representation

Analysis of superimposed signals using time-scale phase repr...

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IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis

作者： A. Sostaric D. Zazula System Software Laboratory Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia

In this paper we address the decomposition problem of electromyographic signals (EMG) and we present a new idea for the decomposition approach introducing the time-scale phase representation. Considering the nature of EMG signals, a special set of nonorthogonal conjugated basis functions is used to perform the time-scale analysis. Mapping the modified signal phase into the time-scale phase plane is applied. Its minimization leads towards a very good time localization of individual superimposed signal components.

关键词： Signal analysis Electromyography Muscles Shape Wavelet analysis Frequency domain analysis system software Laboratories computer science Performance analysis

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