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Performance Improvement of Hardware/Software Architecture for Real-Time Bio Application Using MPSoC

机译:使用MPSoC的实时生物应用的硬件/软件体系结构的性能改进

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In biomedical applications, the awareness in chip architectures with high performance has extended a lot of attention in market and research. A remarkable problematic situation for biomedical engineers is to monitor and analyze heart diseases, which is considered as the main reason or Electrocardiography (ECG), which plays vital role in heart medicines. Since examination of ECG meets computational tasks particularly in real time, in order to analyze the 12 lead signals in parallel with increase in sampling frequencies. Additional contest is the examination of large amounts of data to develop the times of recordings. Currently, doctors use 12-lead ECG paper information for monitoring of the eyeball, which could extremely harm analysis accuracy. In conventional work, the researchers introduced the multi-processor system-on-chip architectures to focus on the parallelization of the ECG evaluation kernel. Similar to that of conventional work in this work Hardware-Software (HW/SW) Multi-Processor System-on-Chip (MPSoC) is introduced in this proposed work. The conventional architecture is complex, which results in the performance degradation. The major focus of this method initiates its design methodology from the specifications of 12-lead ECG application to the ultimate HW/SW architecture. In this proposed work the computational complexity is very much reduced, which results the performance improvement is achieved.
机译:在生物医学应用中,高性能芯片架构的意识已在市场和研究中引起了广泛关注。对于生物医学工程师来说,一个显着的问题情况是监视和分析心脏病,这被认为是心电图(ECG)的主要原因,而ECG在心脏医学中起着至关重要的作用。由于对ECG的检查特别是实时地满足了计算任务,因此为了与采样频率的增加并行地分析12个导联信号。另一个竞赛是检查大量数据以开发记录时间。当前,医生使用12导联心电图纸信息监控眼球,这可能会极大地损害分析准确性。在常规工作中,研究人员介绍了多处理器片上系统架构,以专注于ECG评估内核的并行化。与这项工作中的常规工作类似,在这项拟议工作中引入了硬件-软件(HW / SW)多处理器片上系统(MPSoC)。常规架构很复杂,导致性能下降。这种方法的主要重点是从12导联心电图应用规范到最终的硬件/软件架构,启动其设计方法。在这项拟议的工作中,大大降低了计算复杂度,从而提高了性能。

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