In previous papers, we have described a reduction model for computing near-perfect state information (NPSI) in support of adaptive synchronization in a parallel discrete event simulation (S. Srinivasan et al., 1995; 1...
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In previous papers, we have described a reduction model for computing near-perfect state information (NPSI) in support of adaptive synchronization in a parallel discrete event simulation (S. Srinivasan et al., 1995; 1995). We report on an implementation of this model on a popular high performance computing platform-a network of workstations-without the use of special purpose hardware. The specific platform is a set of Pentium Pro PCs, interconnected by Myrinet-a Gbps network. We describe the reduction model and its use in our Elastic Time Algorithm. We summarize our design, described in an earlier paper and focus on the details of the implementation of this design. We present performance results that indicate that NPSI is feasible for simulations with medium to large event granularity.
Data staging is an important data management problem for a distributed heterogeneous networking environment, where each data storage location and intermediate node may have specific data available, storage limitations...
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Data staging is an important data management problem for a distributed heterogeneous networking environment, where each data storage location and intermediate node may have specific data available, storage limitations, and communication links. Sites in the network request data items and each item is associated with a specific deadline and priority. It is assumed that not all requests can be satisfied by their deadline. The work concentrates on solving a basic version of the data staging problem in which all parameter values for the communication system and the data request information represent the best known information collected so far and stay fixed throughout the scheduling process. A mathematical model for the basic data staging problem is introduced. Then, a multiple-source shortest-path algorithm based heuristic for finding a suboptimal schedule of the communication steps for data staging is presented. A simulation study is provided, which evaluates the performance of the proposed heuristic. The results show the advantages of the proposed heuristic over two random based scheduling techniques. This research, based on the simplified static model, serves as a necessary step toward solving the more realistic and complicated version of the data staging problem involving dynamic scheduling, fault tolerance, and determining where to stage data.
The paper presents an overview of the PARASOL interface and its potential impact on facilitating transfer of technology from the academic researchers to the industrial end users. The PARASOL project aims at developing...
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The paper presents an overview of the PARASOL interface and its potential impact on facilitating transfer of technology from the academic researchers to the industrial end users. The PARASOL project aims at developing scalable direct and iterative solvers and testing them on real problems with respect to applicability and robustness in the industrial applications such as linear structural analysis (MSC/NASTRAN and SESAM), simulation of nonlinear forming and deformation processes (ARC3D and INDEED), and modeling of incompressible viscous flow (POLYFLOW).
Mastering increasing complexity of civil airborne equipment systems needs new architectural concepts mainly based on modular design, generic resources and multiplexed communication buses. These new architectures, such...
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Mastering increasing complexity of civil airborne equipment systems needs new architectural concepts mainly based on modular design, generic resources and multiplexed communication buses. These new architectures, such as Integrated Modular Avionics (IMA) architecture, rely on the definition of standardized hardware and software. However, the development of an IMA architecture requires new tools enabling platform designer, applications developer and system integrator to describe and evaluate different implementation choices. This paper, identifies and characterizes different levels of needed models in order to catch essential information for performance evaluation of avionics applications integrated in IMA. Four model levels are proposed: application model, architectural model, execution model and allocation model. These different modeling levels allow the generation of a simulation model of avionics systems allocated on an IMA platform.
Data distribution management (DDM) is concerned with the problem of efficiently distributing state information among the entities in a distributedsimulation. While heavily studied in the DIS community for training ap...
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Data distribution management (DDM) is concerned with the problem of efficiently distributing state information among the entities in a distributedsimulation. While heavily studied in the DIS community for training applications using real time synchronization, this problem has received considerably less attention for logical time simulations, and little performance data has appeared in this regard. The paper is concerned with evaluating the performance of a logical time synchronized DDM mechanism. A DDM algorithm based on the services specified in the DoD High Level Architecture (HLA) using routing spaces is described, as well as its implementation on a network of workstations environment. Performance measurements indicate that the time overhead to provide correct logical time synchronization of the DDM mechanisms is small, relative to network communication overheads, suggesting that logical time synchronized DDM mechanisms can perform as efficiently as real time synchronized mechanisms in networked workstation environments.
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