使用动态部分重配置减少在线带宽

2016 IEEE 24th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM) Pub Date : 2016-05-01 DOI:10.1109/FCCM.2016.49

Seyyed Mahdi Najmabadi, Zhe Wang, Y. Baroud, S. Simon

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引用次数: 3

摘要

在自定义计算机上对I/ o数据流进行在线压缩将提高计算系统的有效网络带宽以及存储带宽和容量。提出了一种用于在线压缩的自适应动态部分可重构结构。由于该结构对动态环境的适应性，将为在线压缩带来新的可能性。本研究将网络流量和输入数据分布视为两种动态行为。架构提供的改进程度取决于数据分布、带宽和可用资源。我们的分析表明，与非自适应方法相比，压缩比提高了20%。

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Online Bandwidth Reduction Using Dynamic Partial Reconfiguration

Online compression of I/O-data streams in Custom Computing Machines will enhance the effective network band-width of computing systems as well as storage bandwidth and capacity. In this paper a self-adaptive dynamic partial reconfigurable architecture for online compression is proposed. The proposed architecture will bring new possibilities in online compression due to its adaptivity to dynamic environments. In this study, network traffic, and input data distribution are considered as two dynamic behaviors. The degree of improvement provided by the architecture depends on data distribution, bandwidth, and available resources. Our analysis shows an improvement of up to 20% in compression ratios in comparison to non-adaptive approaches.

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2016 IEEE 24th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM)

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