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Frontiers of Information Technology & Electronic Engineering
ISSN 2095-9184 (print), ISSN 2095-9230 (online)
2015 Vol.16 No.2 P.135-151
Profiling and annotation combined method for multimedia application specific MPSoC performance estimation
Abstract: Accurate and fast performance estimation is necessary to drive design space exploration and thus support important design decisions. Current techniques are either time consuming or not accurate enough. In this paper, we solve these problems by presenting a hybrid method for multimedia multiprocessor system-on-chip (MPSoC) performance estimation. A general coverage analysis tool GNU gcov is employed to profile the execution statistics during the native simulation. To tackle the complexity and keep the analysis and simulation manageable, the orthogonalization of communication and computation parts is adopted. The estimation result of the computation part is annotated to a transaction accurate model for further analysis, by which a gradual refinement of MPSoC performance estimation is supported. The implementation and its experimental results prove the feasibility and efficiency of the proposed method.
Key words: MPSoC, Gradual refinement, Native simulation, Performance estimation, Profiling, Annotation, Gcov
创新：为面向多媒体应用的MPSoC性能估计提出一个从VA层到TA层的剖析和标注相结合流程，使性能估计可以被有效逐层完善。
方法：基于GNU gcov工具，在本机模拟过程中剖析给定应用程序代码执行的统计信息，并且支持实时性能分析，快速、准确估计VA模型的计算负载。基于VA模型得到的计算负载性能的结果标注，利用TA模型的SystemC时序精确级仿真得到通信延时结果，使TA模型性能估计更高效，完善整个MPSoC性能估计。
结论：研究一个剖析和标注技术相结合的MPSoC性能评估方法和流程。在VA层得到准确计算负载性能并标注给TA层；在TA层利用基于标注的仿真方法完善通信延时，使得性能估计更高效。通过M-JPEG和MEPG2两个典型视频多媒体应用实验，展示本文方法的高效、快速与准确。
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DOI:
10.1631/FITEE.1400239
CLC number:
TP36; TN47
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On-line Access:
2015-01-29
Received:
2014-07-05
Revision Accepted:
2014-10-22
Crosschecked:
2014-12-30