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A component selection methodology for IP reuse in the design of power-aware SoCs based on requirements similarity

机译:基于需求相似性的电源感知SoC设计中IP重用的组件选择方法

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To counter today's rising complexity in System-on-Chip (SoC) design intellectual property (IP) cores are reused. In libraries often many different pre-designed components are available and selecting suitable IP is difficult and laborious. Power consumption is a key constraint in mobile devices, where SoCs are often used. Therefore, it is important to consider power when selecting components for reuse in the current SoC design. This paper introduces our approach to support component search and selection. Initially, a repository and container for IP is presented. Onto our repository the novel component selection methodology is applied. It considers constraints and properties of IP. Then it performs a similarity analysis between system and component requirements. The result is a ranking of the best-suited components for reuse in the current system under design. To demonstrate our approach a case study is performed on a SoC. With our methodology ranking of components matching the system requirements and constraints is generated. Our work is part of the SIMBA1 project which focuses on simulation-based requirements testing of power-aware SoCs.
机译:为了应对当今日益增长的片上系统(SoC)设计的复杂性,重新使用了知识产权(IP)内核。在图书馆中,通常会有许多不同的预先设计的组件可用,并且选择合适的IP既困难又费力。功耗是经常使用SoC的移动设备中的关键约束。因此,在选择要在当前SoC设计中重复使用的组件时,必须考虑功耗。本文介绍了我们支持组件搜索和选择的方法。最初,介绍了IP的存储库和容器。在我们的资源库中,采用了新颖的组件选择方法。它考虑了IP的约束和属性。然后,它执行系统和组件需求之间的相似性分析。结果是对最适合在设计中的当前系统中重用的组件进行排名。为了演示我们的方法,在SoC上进行了案例研究。通过我们的方法学,可以生成与系统要求和约束相匹配的组件排名。我们的工作是SIMBA 1 项目的一部分,该项目专注于基于仿真的功耗感知SoC需求测试。

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