高级建模/高性能仿真环境设计

B. Zeigler, Doohwan Kim
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引用次数: 15

摘要

大规模并行平台的发展增加了高性能离散事件模拟的前景。并行编程的困难仍然存在,并且对构建离散事件模型以在此类平台上执行的高级支持的需求不断增加。我们提出了一个并行的基于devs(离散事件系统规范)的仿真环境,该环境可以在分布式内存多计算机系统上执行,并具有一类高分辨率、大规模生态系统模型的基准测试结果。该环境的底层是一个并行容器类库,用于隐藏消息传递技术的细节,同时为分层、模块化的DEVS模型提供高级抽象。在Thinking Machines CM-5上工作的c++实现表明,对高级建模支持的渴望不一定与持续的高性能不可调和。
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Design of High Level Modelling / High Performance Simulation Environments
Advances in massively parallel platforms are increasing the prospects for high performance discrete event simulation. Still the difficulty in parallel programming persists and there is increasing demand for high level support for building discrete event models to execute on such platforms. We present a parallel DEVS-based (Discrete Event System Specification) simulation environment that can execute on distributed memory multicomputer systems with benchmarking results of a class of high resolution, large scale ecosystem models. Underlying the environment is a parallel container class library for hiding the details of message passing technology while providing high level abstractions for hierarchical, modular DEVS models. The C++ implementation working on the Thinking Machines CM-5 demonstrates that the desire for high level modeling support need not be irreconcilable with sustained high performance.
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