从数据流规范生成序列化的多任务代码

Seongnam Kwon, S. Ha
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引用次数: 1

摘要

本文主要研究多任务嵌入式软件的开发过程,从系统规范到最终实现,包括设计空间探索(DSE)。在该框架中,采用数据流模型进行任务规范。多任务软件是为在DSE过程中对候选体系结构进行性能评估而生成的。由于最终实现也使用了相同的代码,因此非常希望使其具有可移植性和效率。本文提出了一种基于数据流规范的串行多任务代码生成技术,用于在任意目标处理器上运行无操作系统的多任务应用程序。正如前面的工作所报告的那样,代码序列化还减少了任务切换的运行时开销。通过将运行时调度器生成与任务代码生成分离,可以探索各种调度策略。DiVX应用实验证实了该技术的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Serialized multitasking code generation from dataflow specification
This paper is concerned about multitasking embedded software development from the system specification to the final implementation including design space exploration(DSE). In the proposed framework, dataflow model is used for task specification. Multitasking software is generated for the performance evaluation of architecture candidates during the DSE process. Since the same code is also used for the final implementation, it is highly desirable to make it portable and efficient. In this paper, we propose a serialized multitasking code generation technique from dataflow specification to run the multitasking application without OS on any target processor. The code serialization also reduces runtime overhead of task switching as previous works have reported. By separating run-time scheduler generation from task code generation, various scheduling policies can be explored. Experiments with DiVX application confirm the viability of the proposed technique.
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