Towards code generation from design models for embedded systems on heterogeneous CPU-GPU platforms

Federico Ciccozzi
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引用次数: 4

Abstract

The complexity of modern embedded systems is ever increasing and the selection of target platforms is shifting from homogeneous to more heterogeneous and powerful configurations. In our previous works, we exploited the power of model-driven techniques to deal with such complexity by enabling the automatic generation of full-fledged functional code from UML models enriched with ALF action code. Nevertheless, the scope was bounded to CPU-based platforms. In this work we propose a preliminary definition of the means to build upon the current code generator to enable the generation of code targeting heterogeneous platforms, more specifically conceiving mixed CPU-GPU configurations. The aim is to minimise the effort of the user in modelling platform-related information by embedding the greatest feasible amount of it into the transformation process.
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基于异构CPU-GPU平台的嵌入式系统设计模型的代码生成
现代嵌入式系统的复杂性不断增加,目标平台的选择也从同构的配置转向更异构和更强大的配置。在我们之前的工作中,我们利用了模型驱动技术的强大功能来处理这种复杂性,通过启用从富含ALF操作代码的UML模型中自动生成成熟的功能代码。然而,范围仅限于基于cpu的平台。在这项工作中,我们提出了一个初步的方法定义,以构建当前的代码生成器,从而能够生成针对异构平台的代码,更具体地说,是构想混合的CPU-GPU配置。其目的是通过将最大可行量的信息嵌入到转换过程中,最大限度地减少用户在建模平台相关信息方面的工作量。
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