Distributed discrete-event simulation
ACM Computing Surveys (CSUR)
Dynamic communication models in embedded system co-simulation
DAC '97 Proceedings of the 34th annual Design Automation Conference
Parallel and distributed simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Complete Computer System Simulation: The SimOS Approach
IEEE Parallel & Distributed Technology: Systems & Technology
SystemC Kernel Extensions For Heterogenous System Modeling: A Framework for Multi-MoC Modeling & Simulation
Transaction-Level Modeling with Systemc: Tlm Concepts and Applications for Embedded Systems
Transaction-Level Modeling with Systemc: Tlm Concepts and Applications for Embedded Systems
Fast and accurate transaction level models using result oriented modeling
Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design
Introducing preemptive scheduling in abstract RTOS models using result oriented modeling
Proceedings of the conference on Design, automation and test in Europe
Source-level timing annotation and simulation for a heterogeneous multiprocessor
Proceedings of the conference on Design, automation and test in Europe
Accuracy-adaptive simulation of transaction level models
Proceedings of the conference on Design, automation and test in Europe
A conservative approach to systemc parallelization
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
Multi-Accuracy Power and Performance Transaction-Level Modeling
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
HLA-based simulation environment for distributed SystemC simulation
Proceedings of the 4th International ICST Conference on Simulation Tools and Techniques
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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.