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Adaptive Simulated Annealer for high level synthesis design space exploration

机译:自适应模拟退火炉,用于高级综合设计空间探索

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This paper presents a microarchitectural design space exploration tool called cwbexplorer based on an Adaptive Simulated Annealer Exploration Algorithm (ASA-ExpA) for behavioral descriptions written in untimed C or SystemC. Cwbexplorer automatically generates a series of designs given a set of constraints (area and latency) from an untimed high level language description. A commercial high level synthesis tool (Cy- berWorkBench) is used to synthesize each new architecture. The ASA-ExpA searches the design space based on the results of the previous synthesis, the global cost function and the given constraints. The global cost function weights are adaptively modified during the exploration to adjust the objective to minimize area or latency. Experimental results show that cwbexplorer successfully searches the design space fast and efficiently finding the smallest and fastest designs for most benchmarks, incurring in small penalties (5% in area and 8% in latency) for larger benchmarks while reducing the total runtime by an average of 66% compared to a brute force approach.
机译:本文介绍了一种基于自适应模拟退火退火算法(ASA-ExpA)的微体系结构设计空间探索工具cwbexplorer,用于用非定时C或SystemC编写行为描述。在没有时间限制的高级语言描述的给定一组约束(区域和延迟)的情况下,Cwbexplorer会自动生成一系列设计。商业高级综合工具(Cyber​​WorkBench)用于综合每个新架构。 ASA-ExpA根据先前综合的结果,全局成本函数和给定的约束来搜索设计空间。在勘探过程中会自适应修改全局成本函数权重,以调整目标以最小化面积或延迟。实验结果表明,cwbexplorer成功地快速搜索了设计空间,并有效地找到了大多数基准测试的最小和最快的设计,对较大的基准测试产生了较小的罚款(面积为5%,延迟为8%),同时平均减少了总运行时间相比于暴力破解方法,这一比例为66%。

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