Software performance estimation strategies in a system-level design tool
CODES '00 Proceedings of the eighth international workshop on Hardware/software codesign
Reliable estimation of execution time of embedded software
Proceedings of the conference on Design, automation and test in Europe
An assembly-level execution-time model for pipelined architectures
Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design
A multiobjective optimization model for exploring multiprocessor mappings of process networks
Proceedings of the 1st IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Flexible and Formal Modeling of Microprocessors with Application to Retargetable Simulation
DATE '03 Proceedings of the conference on Design, Automation and Test in Europe - Volume 1
A Systematic Approach to Exploring Embedded System Architectures at Multiple Abstraction Levels
IEEE Transactions on Computers
Modeling application performance by convolving machine signatures with application profiles
WWC '01 Proceedings of the Workload Characterization, 2001. WWC-4. 2001 IEEE International Workshop
A framework for system-level modeling and simulation of embedded systems architectures
EURASIP Journal on Embedded Systems
Performance modeling using Monte Carlo simulation
IEEE Computer Architecture Letters
IEEE Transactions on Evolutionary Computation
Collecting signatures to model latency tolerance in high-level simulations of microthreaded cores
Proceedings of the 2012 Workshop on Rapid Simulation and Performance Evaluation: Methods and Tools
Transactions on High-Performance Embedded Architectures and Compilers IV
A comparative evaluation of multi-objective exploration algorithms for high-level design
ACM Transactions on Design Automation of Electronic Systems (TODAES)
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The Sesame system-level simulation framework targets efficient design space exploration of embedded multimedia systems. Even despite Sesame's efficiency, it would fail to explore large parts of the design space simply because system-level simulation is too slow for this. Therefore, Sesame uses analytical performance models to provide steering to the system-level simulation, guiding it toward promising system architectures and thus pruning the design space. In this paper, we present a mechanism to calibrate these analytical models with the aim to deliver trustworthy estimates. Moreover, we also present some initial evaluation results with respect to the accuracy of our calibration mechanism using a case study with a Motion-JPEG encoder.