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Efficient composition of scenario-based hardware specifications

机译:高效组成的基于场景的硬件规格

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Complex hardware systems can be designed by breaking down their behaviour into high-level descriptions of constituent scenarios and then composing these scenarios into an efficient hardware implementation using a form of high-level synthesis. There are a few existing methodologies for such scenario-based specification and synthesis, and in this study, the authors focus on highly concurrent systems, whose scenarios are typically described using explicit concurrency models such as partial orders. They propose a new algorithm for the composition of partial order scenarios. Unlike previously published methods, the proposed algorithm supports composition constraints, which allow the designer to restrict certain aspects of the composition in order to reuse legacy intellectual property (IP). Furthermore, the authors implementation is more scalable and can cope with specifications comprising hundreds of scenarios at the cost of only $simeq 5percnt $similar or equal to 5% of area overhead compared to optimal solutions obtained by the exhaustive search. The proposed algorithm is implemented in an open-source electronic design automation (EDA) tool, validated on a set of benchmarks, and compared to the state-of-the-art behavioural composition approaches and to other existing methodologies that make use of behavioural synthesis.
机译:复杂的硬件系统可以通过将其行为分解为组成方案的高级描述,然后使用一种高级合成形式将这些方案构图成高效的硬件实现。基于方案的规范和综合存在一些现有方法,并且在本研究中,作者侧重于高度并发系统,其场景通常使用诸如部分订单等显式并发模型来描述。他们为部分顺序情景的组成提出了一种新的算法。与先前发表的方法不同,该算法支持构图约束,允许设计人员限制组合物的某些方面以重复使用遗产知识产权(IP)。此外,作者的实现更可扩展,可以应对包括数百个场景的规范,其成本仅为$ SIMEQ 5 PERCNT $类似或等于5%的区域开销,而与通过详尽的搜索获得的最佳解决方案相比。该算法在开源电子设计自动化(EDA)工具中实现,验证了一组基准,并与最先进的行为组成方法和用于使用行为合成的其他现有方法进行比较。

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