Dovado: An Open-Source Design Space Exploration Framework

D. Paletti, Davide Conficconi, M. Santambrogio
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引用次数: 4

Abstract

Traditional hardware development exploits description languages such as VHDL and (System)Verilog to produce highly parametrizable RTL designs. Different parameter values yield different utilization-frequency trade-offs, and hand-tuning is not feasible with a non-trivial amount of parameters. Generally, the Computer-Aided Design (CAD) literature proposes approaches that mainly tackle automatic exploration without combining a design automation feature. Hence, this work proposes Dovado, an open-source CAD tool for design space exploration (DSE) tailored for FPGAs-based designs. Starting from VHDL/(System)Verilog, Dovado exploits Vivado and supports the hardware developer for an exact exploration of a given set of parameters or a DSE where it returns the non-dominated set of configuration points. In this work, we exploit a multi-objective integer formulation and Non-Dominated Sorting Genetic Algorithm (NSGA)-II for a fast DSE. Moreover, we propose an approximation model for the NSGA-II fitness function to decide whether Vivado or a Nadaraya-Watson model should estimate the optimization metrics.
Dovado:一个开源的设计空间探索框架
传统的硬件开发利用描述语言如VHDL和(System)Verilog来产生高度参数化的RTL设计。不同的参数值会产生不同的利用率-频率权衡,对于大量的参数,手动调优是不可行的。一般来说,计算机辅助设计(CAD)文献提出的方法主要是解决自动探索,而不结合设计自动化特征。因此,这项工作提出了Dovado,一个为基于fpga的设计量身定制的设计空间探索(DSE)的开源CAD工具。从VHDL/(系统)Verilog开始,Dovado利用Vivado并支持硬件开发人员对给定的一组参数或DSE进行精确的探索,其中它返回非主导配置点集。在这项工作中,我们利用多目标整数公式和非支配排序遗传算法(NSGA)-II来实现快速的DSE。此外,我们提出了NSGA-II适应度函数的近似模型,以决定是否应该使用Vivado或Nadaraya-Watson模型来估计优化指标。
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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