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A hybrid design space exploration approach for a coarse-grained reconfigurable accelerator

机译:粗粒度可重构加速器的混合设计空间探索方法

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摘要

Multitude parameters involved in the design process of a reconfigurable accelerator which is exploited in embedded systems brings about a remarkable complexity and large design space. One effective technique is design space exploration which is capable to find a right balance between the different design parameters. Quantitative design approach is an alternative which uses the data collected from applications; however it is time consuming and highly depends on designer observations and analyses and might not conclude to an optimal design. In this paper, a hybrid approach is introduced which uses an analytical approach to explore the design space for a reconfigurable accelerator and determine a wise design point based on the quantitative data collected from the targeted applications. It also provides flexibility for applying new design constraints as well as new applications characteristics. Furthermore, this approach is a methodological approach which reduces the design time and results in a design which satisfies the design goals. Experimental results show the efficacy of the hybrid approach.
机译:嵌入式系统中利用的可重配置加速器设计过程中涉及的众多参数带来了显着的复杂性和巨大的设计空间。一种有效的技术是设计空间探索,它能够在不同的设计参数之间找到合适的平衡。定量设计方法是使用从应用程序收集的数据的替代方法。但是,这很耗时,并且高度取决于设计人员的观察和分析,因此可能无法得出最佳设计。本文介绍了一种混合方法,该方法使用一种分析方法来探索可重构加速器的设计空间,并基于从目标应用程序收集的定量数据确定明智的设计点。它还为应用新的设计约束以及新的应用特性提供了灵活性。此外,该方法是一种方法学方法,该方法学方法减少了设计时间并导致满足设计目标的设计。实验结果表明了混合方法的有效性。

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