具有不可预测通信的复杂系统分布式仿真的系统TLM框架

J. Peeters, N. Ventroux, Tanguy Sassolas, L. Lacassagne
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引用次数: 14

摘要

越来越复杂的系统需要并行仿真引擎。在SystemC仿真的背景下,现有的方案要求对仿真系统中的通信进行预测。然而,这通常是不可预测的。为了处理不可预测的系统,本文提出了一种在不修改SystemC仿真引擎的情况下使用异步通信的并行化方法。仿真系统模型被分割并分布在不同的仿真引擎上,每个部分并行地进行评估。通过模拟系统的写独占内存访问策略,可以保持功能一致性,同时通过显式同步保证时间一致性。实验结果表明,在16个处理器上,速度提高了13倍。
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A systemc TLM framework for distributed simulation of complex systems with unpredictable communication
Increasingly complex systems need parallelized simulation engines. In the context of SystemC simulation, existing proposals require predicting communication in the simulated system. However, this is often unpredictable. In order to deal with unpredictable systems, this paper presents a parallelization approach using asynchronous communication without modification of the SystemC simulation engine. Simulated system model is cut up and distributed across separate simulation engines, each part being evaluated in parallel of others. Functional consistency is preserved thanks to the simulated system write exclusive memory access policy while temporal consistency is guaranteed using explicit synchronization. Experimental results show up a speed-up up to 13x on 16 processors.
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