An Embedded Processor for Metabolic Networks Optimization

V. Conti, S. Vitabile, C. Militello, Barbara Lanza, F. Sorbello
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引用次数: 2

Abstract

In recent years biological processes modelling and simulation have become two key issues in analyzing complex cellular systems. The computational requirements suggest to investigate alternative solutions to the common supercomputers and clusters in order to optimize and overcome computational bottleneck. The goal of this work is the design and the realization of an embedded processor for metabolic networks optimization in order to examine their behaviour and robustness under malfunctions of one or more nodes. The embedded processor has been prototyped on the Celoxica RC203E board, equipped with programmable FPGA technologies. A case studied outlining the E. Coli bacteria metabolic network is also presented.
用于代谢网络优化的嵌入式处理器
近年来,生物过程建模和模拟已成为分析复杂细胞系统的两个关键问题。计算需求建议研究通用超级计算机和集群的替代解决方案,以优化和克服计算瓶颈。这项工作的目标是设计和实现一个用于代谢网络优化的嵌入式处理器,以检查它们在一个或多个节点故障下的行为和鲁棒性。嵌入式处理器已经在Celoxica RC203E板上进行了原型设计,配备了可编程的FPGA技术。一个案例研究概述大肠杆菌的代谢网络也提出。
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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