Adaptive Simulated Annealer for high level synthesis design space exploration

B. C. Schafer, T. Takenaka, K. Wakabayashi
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引用次数: 57

Abstract

This paper presents a microarchitectural design space exploration tool called cwbexplorer based on an Adpative 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 (CyberWorkBench) 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.
面向高层次综合设计空间探索的自适应模拟退火
本文提出了一种基于自适应模拟退火探索算法(ASA-ExpA)的微架构设计空间探索工具cwbeexplorer,用于用非定时C或SystemC编写的行为描述。cwbeexplorer根据不定时的高级语言描述,在给定一组约束条件(面积和延迟)的情况下自动生成一系列设计。商业高级综合工具(CyberWorkBench)用于综合每个新体系结构。ASA-ExpA基于前面综合的结果、全局成本函数和给定约束搜索设计空间。在探索过程中,自适应地修改全局代价函数权重,以调整目标以最小化面积或延迟。实验结果表明,cwbeexplorer成功地快速有效地搜索设计空间,为大多数基准测试找到最小和最快的设计,对于较大的基准测试产生较小的惩罚(面积5%和延迟8%),同时与蛮力方法相比,总运行时间平均减少66%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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