Publication Type
Conference Poster
Version
publishedVersion
Publication Date
10-2021
Abstract
Soft errors have become one of the major concerns for HPC applications, as those errors can result in seriously corrupted outcomes, such as silent data corruptions (SDCs). Prior studies on error resilience have studied the robustness of HPC applications. However, it is still difficult for program developers to identify potential vulnerability to soft errors. In this paper, we present Visilence, a novel visualization tool to visually analyze error vulnerability based on the control-flow graph generated from HPC applications. Visilence efficiently visualizes the affected program states under injected errors and presents the visual analysis of the most vulnerable parts of an application. We demonstrate the effectiveness of Visilence through a case study.
Discipline
Databases and Information Systems | Graphics and Human Computer Interfaces
Research Areas
Data Science and Engineering
Publication
IEEE VIS 2021 Poster, Virtual Conference October 24
First Page
1
Last Page
1
Publisher
IEEE
City or Country
Virtual Conference
Citation
RUAN, Shaolun; WANG, Yong; and GUAN, Qiang.
Visilence: An interactive visualization tool for error resilience analysis. (2021). IEEE VIS 2021 Poster, Virtual Conference October 24. 1-1.
Available at: https://ink.library.smu.edu.sg/sis_research/6844
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://ieeevis.b-cdn.net/vis_2021/posters/v-vis-posters-1023-summary.pdf
Included in
Databases and Information Systems Commons, Graphics and Human Computer Interfaces Commons