Genetic Algorithm based Engine for Domain-Specific Reconfigurable Arrays

Wing On Fung, T. Arslan, S. Khawam
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引用次数: 5

Abstract

Domain-specific reconfigurable arrays have shown to provide an efficient trade-off between flexibility of FPGA and performance of ASIC circuit. Nonetheless, the design of these heterogeneous arrays is a labour intensive process. Furthermore, the manual creation of the array architecture could not have been fully optimised, hence limiting their performance. This paper presents a placement technique for mapping logic elements into heterogeneous reconfigurable arrays. At its core, it implements a genetic algorithm, which was used to reduce the span of all the interconnections as well as critical delay. It therefore minimises the amount of routing resource required in the architecture. The algorithm was tested on two arrays implementing DCT and speech coding. The resulting architecture achieves optimal close to that of an expert designer in a fraction of the time
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基于遗传算法的领域可重构阵列引擎
特定领域的可重构阵列在FPGA的灵活性和ASIC电路的性能之间提供了一种有效的权衡。尽管如此,这些异构阵列的设计是一个劳动密集型的过程。此外,阵列架构的手动创建无法完全优化,因此限制了它们的性能。本文提出了一种将逻辑元素映射到异构可重构阵列的放置技术。该算法的核心是实现遗传算法,该算法用于减少所有互连的跨度和临界延迟。因此,它最大限度地减少了体系结构中所需的路由资源。该算法在两个实现DCT和语音编码的阵列上进行了测试。最终的架构在很短的时间内达到了接近专家设计师的最佳效果
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