Structural changes, i.e. the creation and deletion of components, and the change of interactions are salient features of adaptive systems. To model and specify these systems, variable structure models are required, i....
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Structural changes, i.e. the creation and deletion of components, and the change of interactions are salient features of adaptive systems. To model and specify these systems, variable structure models are required, i.e. models that entail in their own description the possibility to change their structure. To execute these models, a simulator with a clear semantic of intertwining structural and non-structural changes is required. In JAMES (Java-based agent modeling environment for simulation), different simulator components, e.g., for paced, unpaced, sequential, and parallel simulation, support the continuous use of models and simulation from specification to testing and a composition of the simulation engine on demand. Two types of simulator components for variable structure models are developed and integrated into the simulation layer; the implications are discussed.
The authors review the space mapping (SM) and the SM-based surrogate (modeling) concepts and their applications in engineering modeling and design optimization. The aim of SM is to achieve a satisfactory solution with...
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The authors review the space mapping (SM) and the SM-based surrogate (modeling) concepts and their applications in engineering modeling and design optimization. The aim of SM is to achieve a satisfactory solution with a minimal number of computationally expensive "fine" model evaluations. SM procedures iteratively update and optimize surrogates based on a fast physically-based "coarse" model. Also review the original, aggressive and implicit SM (ISM) techniques. A "cheese-cutting" problem illustrates the ISM concept. Significant recent practical applications are reviewed.
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 ha...
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.
The genetic elitism and double string coding were used to solve the optical component problem. For the first time, two constraints were applied where both were combined together using a merging function. The results s...
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The genetic elitism and double string coding were used to solve the optical component problem. For the first time, two constraints were applied where both were combined together using a merging function. The results show that the algorithm maintains feasibility of the constraints while it converges to the steady state value.
We present a novel approach to visualize time-varying matrices. This approach is based on combining multidimensional scaling and the reorderable matrix method. An adapted version of multidimensional scaling which allo...
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We present a novel approach to visualize time-varying matrices. This approach is based on combining multidimensional scaling and the reorderable matrix method. An adapted version of multidimensional scaling which allows the construction of similarity plots for columns/rows of time-varying matrices is proposed. In addition, we have extended the reorderable matrix method to allow the visual exploration of time-varying matrix data in a tabular form for being able to verify the results of MDS and possibly discover new patterns in data. The benefits of our approach are illustrated by showing visualizations of sensitivity matrices generated during simulations of metabolic network models.
Unified Parallel C (UPC) is a programming model for shared-memory parallel computing on shared- and distributed-memory systems. The Berkeley UPC software, which operates on top of their Global Addressing Space Network...
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Unified Parallel C (UPC) is a programming model for shared-memory parallel computing on shared- and distributed-memory systems. The Berkeley UPC software, which operates on top of their Global Addressing Space Networking (GASNet) communication system, is a portable, high-performance implementation of UPC for large-scale clusters. The Scalable Coherent Interface (SCI), a torus-based system-area network (SAN), is known for its ability to provide very low latency transfers as well as its direct support for both shared-memory and message-passing communications. High-speed clusters constructed around SCI promise to he a potent platform for large-scale UPC applications. This work introduces the design of the core API for the new SCI conduit for GASNet and UPC, which is based on active messages (AM). Latency and bandwidth data were collected and are compared with raw SCI results and with other existing GASNet conduits. The outcome shows that the new GASNet SCI conduit is able to provide promising performance in support of UPC applications.
RapidIO is an emerging standard for switched interconnection of processors and boards in embedded systems. We use discrete-event simulation to evaluate and prototype RapidIO-based systems with respect to their perform...
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RapidIO is an emerging standard for switched interconnection of processors and boards in embedded systems. We use discrete-event simulation to evaluate and prototype RapidIO-based systems with respect to their performance in an environment targeted towards space-based radar applications. This application class makes an ideal test case for a RapidIO feasibility study due to high system throughput requirements and real-time processing constraints. Our results show that a baseline RapidIO system is well suited to space-based radar, providing significant improvements over typical bus-based architectures. Our results also show that extensions to the RapidIO protocol such as cut-through routing and transmitter-controlled flow-control would provide minimal performance improvements for the applications under study.
Aircraft networks are used to service mission-critical avionics systems as well as cabin systems such as in-flight entertainment. These networks require that the switches used offer line-rate switching as well as boun...
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Aircraft networks are used to service mission-critical avionics systems as well as cabin systems such as in-flight entertainment. These networks require that the switches used offer line-rate switching as well as bounded latency and jitter. Gigabit Ethernet offers an interesting replacement to traditional proprietary networks because of its high performance and low cost. We develop a framework for analyzing the abilities of Gigabit Ethernet switches to provide probabilistic guarantees for reliably low latency using quality of service (QoS) controls. From the perspective of control capabilities, management complexity, and implementation success we compare the strengths and weaknesses of three modern Ethernet switches. These switches exhibit a broad range of configuration options and are representative of the different levels of QoS implementation available today. We use the performance metrics of latency, jitter, and packet loss to characterize the success of a service policy. The results from a variety of network, load, and traffic scenarios are presented in terms of these metrics. Through the results, we are able to gain insight into the individual switch implementations of QoS.
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 ha...
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Full three dimensional Particle‐in‐Cell (PIC) simulations are performed in order to investigate effects of field‐aligned (parallel) ion flow shears on low‐frequency plasma instabilities. It is shown that the paral...
Full three dimensional Particle‐in‐Cell (PIC) simulations are performed in order to investigate effects of field‐aligned (parallel) ion flow shears on low‐frequency plasma instabilities. It is shown that the parallel ion flow velocity shear can induce the ion‐acoustic instability, even when the ion flow velocity is so small that the instability can not take place. simulation results are consistent with the analysis based on the local theory.
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