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Trace-Driven Performance Estimation of multi-core platforms

机译:跟踪驱动的多核平台性能评估

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In hardware/software co-design for a multi-core platform, a crucial role is played by fast and accurate early performance estimation. One type of such estimation that is as fast as native simulation, cycle-approximate and applicable to both software and custom hardware is Transaction Level Model (TLM) Estimation that depends on TLM simulation. For every platform selection and mapping, however, the entire platform must be simulated. The simulation overhead is reduced by Trace-driven estimation but such estimation is not applicable to custom hardware and often requires Cycle Accurate Models (CAMs), which may not available for the whole platform. In this paper, we present Trace-Driven Performance Estimation (TDPE) of multi-core designs. TDPE is a trace-driven estimation but applicable to both software and hardware and requires no CAM. Since TDPE includes a mere single functional simulation, it is orders of magnitude faster than TLM Estimation. TLM Estimation is cycle-approximate by considering the data path of each Processing Element (PE), memory hierarchy, RTOS scheduling and overheads, bus arbitration and overhead. TDPE takes all of them into account so is as accurate as TLM Estimation.
机译:在用于多核平台的硬件/软件协同设计中,快速准确的早期性能评估起着至关重要的作用。与本地模拟一样快,周期近似并且适用于软件和自定义硬件的这种估计的一种类型是依赖于TLM模拟的事务级别模型(TLM)估计。但是,对于每个平台选择和映射,都必须模拟整个平台。跟踪驱动的估计减少了仿真开销,但这种估计不适用于定制硬件,并且通常需要周期精确模型(CAM),这可能不适用于整个平台。在本文中,我们提出了多核设计的跟踪驱动性能估计(TDPE)。 TDPE是跟踪驱动的估计,但适用于软件和硬件,并且不需要CAM。由于TDPE仅包含单个功能仿真,因此它比TLM估计快几个数量级。通过考虑每个处理元素(PE)的数据路径,内存层次结构,RTOS调度和开销,总线仲裁和开销,TLM估计是近似于周期的。 TDPE考虑了所有这些因素,因此与TLM估计一样准确。

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