Modeling constructs and kernel for parallel simulation of accuracy adaptive TLMs

摘要

We present a set of modeling constructs accompanied by a high performance simulation kernel for accuracy adaptive transaction level models. In contrast to traditional, fixed accuracy TLMs, accuracy of adaptive TLMs can be changed during simulation to the level which is most suitable for a given use case and scenario. Ad-hoc development of adaptive models can result in complex models, and the implementation detail of adaptivity mechanisms can obscure the actual logic of a model. To simplify and enable systematic development of adaptive models, we have identified several mechanisms which are applicable to a wide variety of models. The proposed constructs relieve the modeler from low level implementation details of those mechanisms. We have developed an efficient, light-weight simulation kernel optimized for the proposed constructs, which enables parallel simulation of large models on widely available, low-cost multi-core simulation hosts. The modeling constructs and the kernel have been evaluated using industrial benchmark applications.