作者:
Hannebauer, MarkusPlanning and Optimization Laboratory
Research Institute for Computer Architecture and Software Technology (FIRST) GMD — German National Research Center for Information Technology eMail: hannebau@first.gmd.de
Several interesting practical problems in process control, planning and scheduling can be expressed and solved using the model of constraint satisfaction problems. At least four drawbacks of this classical model direc...
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Several interesting practical problems in process control, planning and scheduling can be expressed and solved using the model of constraint satisfaction problems. At least four drawbacks of this classical model directly relate to areas of distribution: complexity, scalability, privacy and robustness. Hence, research on distributed constraint satisfaction problems is a new direction in the area of multi-agent systems. A typical engineering task in distributed constraint satisfaction is the design of the distribution itself. A careful look at this task reveals that the design of distribution is critical to the quality and efficiency of the problem solving process and is itself an optimization problem. In this article we formalize different variants of this configuration problem and prove them to be all at least N P-complete. For solving these problems, we present two local operators, agent melting and agent splitting, that can be combined to allow for an autonomous and dynamic reconfiguration of the organizational structure of the problem-solving agents. We prove sequences of these operators to be sufficient for solving any given configuration problem. We also briefly describe what practical steps are necessary to exploit the rather theoretical result of the proof in realistic applications.
Presents a method for the analysis of time series from drifting or switching dynamics. In an extension to existing approaches that identify switches or drifts between stationary dynamical modes, the method allows one ...
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Presents a method for the analysis of time series from drifting or switching dynamics. In an extension to existing approaches that identify switches or drifts between stationary dynamical modes, the method allows one to analyze even continuously varying dynamics and can identify mixtures of more than two dynamical modes. The architecture is based on a mixture of self-organizing Nadaraya-Watson kernel estimators. The mixture model is trained by barrier optimization, a technique for constrained optimization problems. We apply the proposed method to artificially generated data and EEG recordings from the wake/sleep transition.
Handling the procedure interface in an HPF compiler is complex due to the many possible combinations of Fortran 90/HPF properties of an actual array argument and its associated dummy argument. This paper describes an ...
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HITERM is a decision support tool for the management of the accidental release of toxic substances. It consists of several interconnected (possibly remotely located) parts. The main server supervises the actions of th...
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HITERM is a decision support tool for the management of the accidental release of toxic substances. It consists of several interconnected (possibly remotely located) parts. The main server supervises the actions of the system. It contains a graphical user interface (GUI), including a geographical information system (GIS) and other databases. It is connected to mobile clients at the place of the accident to collect data and to inform about the situation and the recommended actions. On the other hand, the main server can start a model server to perform simulation of the pollution evolution. Decision support tools provide guidance to the user for the management of an evolving emergency situation. The underlying simulation system for the air domain is discussed in more detail and results of a simulation of a traffic accident in the Reuss Valley in Switzerland are shown.
A prototype of an environmental simulation and monitoring system for urban areas has been developed. This system provides state-of-the-art air and water pollution calculation and analysis tools. A distributed client-s...
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A prototype of an environmental simulation and monitoring system for urban areas has been developed. This system provides state-of-the-art air and water pollution calculation and analysis tools. A distributed client-server architecture based on the Internet has been chosen to allow authorities to run large models requiring HPC hardware on remote model servers. The main focus of this paper is the description of a model designed for the computation of the extra ozone production in urban areas and for short-term ozone forecast purposes. Within the framework of an integrated simulation and monitoring system, this model benefits from the easy exchange of modeled and monitored data. Automatic interfaces to monitoring nets allow an operational use of the model.
This paper presents a modeling approach based on deterministic and stochastic Petri nets (DSPN) for analyzing the performance of node architectures for MIMD multiprocessor systems with distributed memory. DSPN are a n...
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This paper presents a modeling approach based on deterministic and stochastic Petri nets (DSPN) for analyzing the performance of node architectures for MIMD multiprocessor systems with distributed memory. DSPN are a numerically solvable modeling formalism with a graphical representation. The modeling approach supports design decisions for node architectures by providing quantitative results concerning processor and memory utilization for several design alternatives. To illustrate the proposed approach, DSPN of two node architectures are presented and employed for a comparative performance study.
Recent investigations have shown that vehicular traffic is the main source for emissions leading to summer smog. A study of the impact of traffic emission on urban air quality requires a complex air-pollution simulati...
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Recent investigations have shown that vehicular traffic is the main source for emissions leading to summer smog. A study of the impact of traffic emission on urban air quality requires a complex air-pollution simulation system. This paper presents results of the development and application of an air-pollution simulation system at gmd FIRST which aims at supporting users in government administration and industry with forecasting and operative decision-making as well as short- to long-term regional planning. The components of the simulation system are parallelly implemented simulation models for meteorology, transport and air chemistry, data bases for model input and simulation results, as well as a graphic user interface for spatial data visualization. In order to study the influence of traffic emissions, a traffic-flow and a traffic-emission model have been added to the simulation system. Results presented are from two recent applications in the regions of Berlin/Brandenburg and Munich (Germany). Further applications are in preparation.
We present an approach to the intelligible communication of formal proofs. Observing a close correspondence between the activities of formal-proof development and program development, and using this as a guideline, we...
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Data-parallel applications are usually programmed in the SPMD paradigm by using a message passing system such as MPI or PVM. However programming by using message passing primitives is still tedious and error-prone. Th...
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ISBN:
(纸本)0818678763
Data-parallel applications are usually programmed in the SPMD paradigm by using a message passing system such as MPI or PVM. However programming by using message passing primitives is still tedious and error-prone. This paper presents an abstraction of message passing programming in C++ to relieve programmers of low-level considerations. The runtime overhead introduced by the abstraction is shown to be negligible.
Symbolic applications such as expert systems, theorem provers, and computer algebra exhibit dynamic, tree-structured behavior with respect to control and data structures. This is why it is difficult to parallelize a p...
Symbolic applications such as expert systems, theorem provers, and computer algebra exhibit dynamic, tree-structured behavior with respect to control and data structures. This is why it is difficult to parallelize a program and get it running efficiently on a parallel computer, especially one with distributed memory. This paper introduces a semi-automatic mapping environment providing a set of support tools, intended for application to large, real-life programs. Mapping can perform adaptive granularity control, dynamic load balancing, and scheduling on parallel programs with dynamic data and control behavior, providing a set of strategies for all components. A set of mapping rules are extracted, describing when which strategy is appropriate. The approach systematically selects and configures its strategies to suit the characteristics of the application and is thus superior to a universal heuristic. (C) 1996 Academic Press Limited
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