Visual Exploratory Analysis for Designing Large-Scale Network-on-Chip Architectures: A Domain Expert-Led Design Study
Visual Exploratory Analysis for Designing Large-Scale Network-on-Chip Architectures: A Domain Expert-Led Design Study
复制标题
设计大规模片上网络架构的可视化探索性分析:领域专家主导的设计研究
DOI:
10.1109/tvcg.2023.3337173
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发表时间:
2024
影响因子:
5.2
通讯作者:
Sun, Yifan
中科院分区:
文献类型:
--
作者:
Wang, Shaoyu;Yan, Hang;Isaacs, Katherine E.;Sun, Yifan
Visualization design studies bring together visualization researchers and domain experts to address yet unsolved data analysis challenges stemming from the needs of the domain experts. Typically, the visualization researchers lead the design study process and implementation of any visualization solutions. This setup leverages the visualization researchers’ knowledge of methodology, design, and programming, but the availability to synchronize with the domain experts can hamper the design process. We consider an alternative setup where the domain experts take the lead in the design study, supported by the visualization experts. In this study, the domain experts are computer architecture experts who simulate and analyze novel computer chip designs. These chips rely on a Network-on-Chip (NOC) to connect components. The experts want to understand how the chip designs perform and what in the design led to their performance. To aid this analysis, we develop Vis4Mesh, a visualization system that provides spatial, temporal, and architectural context to simulated NOC behavior. Integration with an existing computer architecture visualization tool enables architects to perform deep-dives into specific architecture component behavior. We validate Vis4Mesh through a case study and a user study with computer architecture researchers. We reflect on our design and process, discussing advantages, disadvantages, and guidance for engaging in a domain expert-led design studies.
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DOI:
--
发表时间:
2021
期刊:
ACM/IEEE International Symposium on Networks-on-Chips
影响因子:
--
作者:
J. Joseph;M. S. Baloğlu;Yue Pan;R. Leupers;Lennart Bamberg
通讯作者:
Lennart Bamberg
影响因子:
2
作者:
Zhiqiang Chen;Rangyu Deng;Kun Zeng;Xiaoqiang Ni;Hongwei Zhou
通讯作者:
Hongwei Zhou
DOI:
10.1109/tvcg.2019.2934285
发表时间:
2019
影响因子:
5.2
作者:
Williams, Katy;Bigelow, Alex;Isaacs, Katherine E.
通讯作者:
Isaacs, Katherine E.
DOI:
--
发表时间:
2014
期刊:
2014 First Workshop on Visual Performance Analysis
影响因子:
--
作者:
Collin M. McCarthy;Katherine E. Isaacs;A. Bhatele;P. Bremer;B. Hamann
通讯作者:
B. Hamann
DOI:
--
发表时间:
2001
期刊:
Proceedings 42nd IEEE Symposium on Foundations of Computer Science
影响因子:
--
作者:
R. A. Haynes;Patricia J. Crossno;E. Russell
通讯作者:
E. Russell