分析芯片上的数据密集型网络

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC) Pub Date : 2022-12-01 DOI:10.1109/UCC56403.2022.00034

Junwei Zhang, T. G. Robertazzi

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引用次数: 0

摘要

提出了一种新的框架[2][3]，用于在片上网络(NoC)上寻找有效的数据密集型流分布。在[3]中，作者讨论了虚拟直通交换，并在一种新的交换机制——改进的存储转发交换机制中扩展了流矩阵和分析。我们将探讨与之前的数据负载均匀分布场景相比的各种工作负载分布应用程序。新的算法导致一个有效的makespan和显著节省使用的核心数量。

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Analyzing Data Intensive Networks on Chips

A novel framework [2] [3] is proposed to find efficient data-intensive flow distributions on Networks on Chip (NoC). In [3], the authors discussed the virtual cut-through switching, and we extend the flow matrix and analysis in a new switching mechanism, a modified store-and-forward switching mechanism. We explore the various workload distribution applications compared to the previous data load evenly distribution scenario. The new algorithms lead to an efficient makespan and a significant saving in the number of cores used.

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来源期刊

2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC)

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