NoC架构作为个性化和精准医学生物发现的推动者

P. Bogdan, Turbo Majumder, A. Ramanathan, Yuankun Xue
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引用次数: 3

摘要

本文概述了个性化和精准医疗(PPM)中的主要计算问题,并提出了基于片上网络(NoC)的多核平台在这一过程中的推动者的令人信服的案例。我们确定了设计和优化基于noc的PPM解决方案所面临的一系列挑战。为了捕捉信息物理感知和处理的特征,我们提出了一种新的基于应用-架构交互的动态异构超图描述的计算模型。从这些前提出发,我们总结了NoC设计方法的一些含义,提出了一些基于NoC的解决方案,以应对一些挑战,并概述了一些悬而未决的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NoC Architectures as Enablers of Biological Discovery for Personalized and Precision Medicine
This paper overviews the main computational issues in personalized and precision medicine (PPM), and present a cogent case for network-on-chip (NoC)-based multicore platforms as enablers in the process. We identify a series of challenges for the design and optimization of NoC-based solutions for PPM. To capture the characteristics of the cyber-physical sensing and processing, we propose a new computational model built on a dynamical heterogeneous hyper-graph description of application-to-architecture interactions. Starting from these premises, we summarize a few implications on NoC design methodologies, present some NoC-based solutions that deal with some of the challenges, and outline a few open problems.
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