用自动生成的软件性能模型快速探索多媒体片上系统

C. M. Kirchsteiger, H. Schweitzer, C. Trummer, C. Steger, R. Weiss, M. Pistauer
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引用次数: 3

摘要

在当今多媒体片上系统(SoC)设计的设计空间探索中,快速评估大量不同类型的处理器是一个挑战。我们的方法解决了这个限制,该方法起源于SIMBA1项目。它根据所选的处理器类型自动生成软件代码的Sys- temC性能模型。生成的性能模型由带有SystemC等待语句注释的原始软件c代码组成,以考虑目标处理器上的执行时间。这些等待语句由目标交叉编译器的汇编代码和处理器数据表自动确定,并考虑内存访问和管道效果。在我们的实验中,我们自动生成了ARM和TI处理器的性能模型。这只需要目标交叉编译器和处理器数据表,并且广泛适用于各种处理器类型。我们表明,我们的模型可以很容易地用于比较这些平台上的软件性能。我们还证明了这些模型可以顺利地集成到现有的多媒体SoC中,以实现快速的软件驱动架构探索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rapid exploration of multimedia system-on-chips with automatically generated software performance models
A challenge in the design space exploration of todays' multimedia system-on-chip (SoC) designs is to rapidly evaluate the large number of different processor types. This limitation is resolved by our methodology, originated from the SIMBA1 project. It automatically generates a Sys- temC performance model of the software code with respect to the chosen processor type. The generated performance model consists of the original software C-code annotated with SystemC wait statements to consider the execution time on the target processor. These wait statements are automatically determined by the target cross-compiler's assembler code and the processor datasheet and consider also memory accesses and pipeline effects. In our experiments we automatically generate both a performance model of an ARM and a TI processor. This only requires the target cross-compiler and the processor datasheet and is widely applicable to various processor types. We show that our models can be used easily to compare the software performance on these platforms. We also demonstrate that the models can be smoothly integrated into an existing multimedia SoC for a rapid software-driven architecture exploration.
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