Accuracy-adaptive simulation of transaction level models
Proceedings of the conference on Design, automation and test in Europe
A high abstraction, high accuracy power estimation model for networks-on-chip
Proceedings of the 22nd Annual Symposium on Integrated Circuits and System Design: Chip on the Dunes
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
AOP-based high-level power estimation in SystemC
Proceedings of the 20th symposium on Great lakes symposium on VLSI
Modeling constructs and kernel for parallel simulation of accuracy adaptive TLMs
Proceedings of the Conference on Design, Automation and Test in Europe
A multi-model engine for high-level power estimation accuracy optimization
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Automatic generation of high-speed accurate TLM models for out-of-order pipelined bus
ACM Transactions on Embedded Computing Systems (TECS) - Special Section on ESTIMedia'10
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This paper introduces a modeling and simulation technique that extends transaction-level modeling (TLM) to support multi-accuracy models and power estimation. This approach provides different combinations of power and performance models, and the switching of model accuracy during simulation, allowing the designer to trade off between simulation accuracy and speed at runtime. This is particularly useful during the exploration phase of a design, when the designer changes the features or the parameters of the design, trying to satisfy its constraints. Usually, only limited portions of a system are affected by a single parameter change, and therefore, it is possible to fast-simulate uninteresting sections of the application. In particular, we show how to extend the TLM and modify the SystemC kernel to support multi-accuracy features. The proposed methodology has been tested on several benchmarks, among which is an MPEG4 encoder, showing that simulation speed can be increased of one order of magnitude. On the same benchmarks, we also show how it is possible to choose the optimal performance simulation accuracy for a given power model, maximizing simulation speed for the desired accuracy.