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Toolchain-based approach to handling variability in embedded multiprocessor system on chips

机译:基于工具链的嵌入式多处理器片上系统中的可变性处理方法

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Manufacturing variability is an increasingly significant problem. Silicon devices that are designed to be identical will display widely ranging characteristics after manufacture. Power use, supported clock frequencies and lifespan may all vary considerably. This is of particular concern for embedded systems because of their extensive use of complex system-on-chip (SoC)-based architectures. If this variability is not tolerated by the software, then manufacturing yields are reduced and devices are not used efficiently. This study discusses a novel approach to the integration of variability-mitigation techniques that uses model-driven engineering to explicitly consider variability as part of the development process. Developers can build systems that are much more resilient to variability effects, allowing systems to have higher yields, lower costs and greater reliability. The approach uses code generation and code transformation to simplify design-space exploration and reduce time-to-market. The approach is illustrated with an example of audio processing on a complex multiprocessor SoC with simulated variability, and it is shown to be increasingly effective as system variability becomes more significant.
机译:制造可变性是一个日益重要的问题。设计为相同的硅器件在制造后将显示出广泛的特性。功耗,支持的时钟频率和使用寿命可能都存在很大差异。由于嵌入式系统广泛使用了基于复杂片上系统(SoC)的体系结构,因此这对于嵌入式系统尤为重要。如果软件不容许这种可变性,则会降低生产良率,并且无法有效使用设备。这项研究讨论了一种整合可变性缓解技术的新颖方法,该方法使用模型驱动的工程来明确地将可变性视为开发过程的一部分。开发人员可以构建对可变性影响更具弹性的系统,从而使系统具有更高的产量,更低的成本和更高的可靠性。该方法使用代码生成和代码转换来简化设计空间探索并缩短产品上市时间。以具有模拟可变性的复杂多处理器SoC上的音频处理为例说明了该方法,并且随着系统可变性变得越来越重要,该方法也越来越有效。

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