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Trace-Driven Performance Estimation of multi-core platforms

机译:多核平台的追踪性能估计

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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:在硬件/软件协同设计中为多核平台,通过快速和准确的早期性能估算来发挥至关重要的作用。一种诸如本机模拟,周期近似和适用于软件和定制硬件的一种类型的估计是事务级模型(TLM)估计,其取决于TLM模拟。但是,对于每个平台选择和映射,必须模拟整个平台。通过跟踪驱动估计减少了仿真开销,但这种估计不适用于定制硬件,并且通常需要周期准确的模型(CAM),这可能不适用于整个平台。在本文中,我们呈现了多核设计的跟踪性能估计(TDPE)。 TDPE是一种跟踪驱动的估计,但适用于软件和硬件,不需要凸轮。由于TDPE仅包括单一功能模拟,因此它是比TLM估计快的数量级。 TLM估计是通过考虑每个处理元素(PE),存储层级,RTOS调度和开销,总线仲裁和开销的数据路径来循环近似。 TDPE将所有这些都考虑在内,因此是TLM估计的准确性。

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