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An ESL Approach for Energy Consumption Analysis of Cache Memories in SoC Platforms

机译:用于SoC平台中缓存内存能耗分析的ESL方法

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The design of complex circuits as SoCs presents two great challenges to designers. One is the speeding up of system functionality modeling and the second is the implementation of the system in an architecture that meets performance and power consumption requirements. Thus, developing new high-level specification mechanisms for the reduction of the design effort with automatic architecture exploration is a necessity. This paper proposes an Electronic-System-Level (ESL) approach for system modeling and cache energy consumption analysis of SoCs called PCacheEnergyAnalyzer. It uses as entry a high-level UML-2.0 profile model of the system and it generates a simulation model of a multicore platform that can be analyzed for cache tuning. PCacheEnergyAnalyzer performs static/dynamic energy consumption analysis of caches on platforms that may have different processors. Architecture exploration is achieved by letting designers choose different processors for platform generation and different mechanisms for cache optimization. PCacheEnergyAnalyzer has been validated with several applications of Mibench, Mediabench, and PowerStone benchmarks, and results show that it provides analysis with reduced simulation effort.
机译:作为SoC的复杂电路设计给设计人员带来了两个巨大挑战。一是加快系统功能建模,二是在满足性能和功耗要求的体系结构中实施系统。因此,有必要开发新的高级规范机制,以减少自动体系结构探索的设计工作量。本文提出了一种电子系统级(ESL)方法,用于SoC的系统建模和缓存能耗分析,称为PCacheEnergyAnalyzer。它使用系统的高级UML-2.0配置文件模型作为入口,并生成多核平台的仿真模型,可以对该模型进行分析以进行缓存调整。 PCacheEnergyAnalyzer对可能具有不同处理器的平台上的缓存执行静态/动态能耗分析。通过让设计人员选择用于平台生成的不同处理器和用于缓存优化的不同机制来实现架构探索。 PCacheEnergyAnalyzer已通过Mibench,Mediabench和PowerStone基准测试的多个应用程序进行了验证,结果表明,该方法可提供减少了仿真工作的分析。

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