Exploration of an adaptive NoC architecture on FPGA dedicated to multi and hysperspectral algorithm for art authentication

V. Fresse, Junyan Tan, F. Rousseau
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引用次数: 6

Abstract

This paper presents an adaptive communication architecture dedicated to multispectral and hyperspectral imaging algorithms for art authentication for embedded and portable systems. The communication architecture is a Network on Chip (NoC) architecture implemented on a FPGA (Field Programmable Gate Array). From several parameters extracted from the algorithm, an emulation platform is designed to explore performances of the communication architecture. This emulation architecture contains the NoC architecture associated to generator and receptor traffic blocks to simulate data transfers inside the NoC. Several traffic scenarios extracted from the algorithm are explored. Timing and resource performances are analyzed for several parameterizations of the architecture to identify the adapted architecture and their limitations.
一种用于艺术认证的多光谱和高光谱算法的FPGA自适应NoC架构的探索
本文提出了一种用于嵌入式和便携式系统艺术认证的多光谱和高光谱成像算法的自适应通信体系结构。通信体系结构是在FPGA(现场可编程门阵列)上实现的片上网络(NoC)体系结构。根据该算法提取的多个参数,设计了仿真平台,对通信体系结构的性能进行了研究。此仿真体系结构包含与生成器和接收器通信块关联的NoC体系结构,以模拟NoC内部的数据传输。研究了从该算法中提取的几种交通场景。对该体系结构的几个参数化进行了时间和资源性能分析,以确定适合的体系结构及其局限性。
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