面向实时汽车软件的轻量级语义保持通信

Eugene Yip, Erjola Lalo, Gerald Lüttgen, A. Sailer
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引用次数: 2

摘要

汽车行业正面临着多核挑战,通过围绕逻辑执行时间(LET)模型设计软件,传统软件和现代软件必须正确有效地并行运行。虽然这样的设计提供了独立于平台和时间可预测的实现,但任务通信被假定为即时完成。因此,为了保持设计的数据流,在可能位于不同核心的LET任务之间实现及时的数据传输至关重要。在本文中,我们开发了一个轻量级的静态缓冲协议(SBP),它满足LET通信语义,并支持与多个信号写入器的基于信号的通信。我们对现实工业汽车基准的仿真评估表明,SBP的执行开销最多是传统点对点(PTP)通信方法的一半。此外,SBP需要的缓冲内存比PTP平均少60%。
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Lightweight Semantics-Preserving Communication for Real-Time Automotive Software
The automotive industry is confronting the multi-core challenge, where legacy and modern software must run correctly and efficiently in parallel, by designing their software around the Logical Execution Time (LET) model. While such designs offer implementations that are platform independent and time predictable, task communications are assumed to complete instantaneously. Thus, it is critical to implement timely data transfers between LET tasks, which may be on different cores, in order to preserve a design's data-flow. In this paper, we develop a lightweight Static Buffering Protocol (SBP) that satisfies the LET communication semantics and supports signal-based communication with multiple signal writers. Our simulation-based evaluation with realistic industrial automotive benchmarks shows that the execution overhead of SBP is at most half that of the traditional Point-To-Point (PTP) communication method. Moreover, SBP needs on average 60% less buffer memory than PTP.
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