A Visual Analytics Framework for Analyzing Parallel and Distributed Computing Applications
| Autor: | Misbah Mubarak, Jianping Kelvin Li, Caitlin Ross, Kwan-Liu Ma, Suraj P. Kesavan, Takanori Fujiwara, Christopher D. Carothers, Robert Ross |
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| Rok vydání: | 2019 |
| Předmět: |
Visual analytics
business.industry Computer science media_common.quotation_subject Performance tuning 020207 software engineering 02 engineering and technology Machine learning computer.software_genre Telecommunications network Information visualization Debugging 020204 information systems 0202 electrical engineering electronic engineering information engineering Data analysis Unsupervised learning Artificial intelligence Time series business computer media_common |
| Zdroj: | 2019 IEEE Visualization in Data Science (VDS). |
| Popis: | To optimize the performance and efficiency of HPC applications, programmers and analysts often need to collect various performance metrics for each computer at different time points as well as the communication data between the computers. This results in a complex dataset that consists of multivariate time-series and communication network data, which makes debugging and performance tuning of HPC applications challenging. Automated analytical methods based on statistical analysis and unsupervised learning are often insufficient to support such tasks without the background knowledge from the application programmers. To better explore and analyze a wide spectrum of HPC datasets, effective visual data analytics techniques are needed. In this paper, we present a visual analytics framework for analyzing HPC datasets produced by parallel discrete-event simulations (PDES). Our framework leverages automated time-series analysis methods and effective visualizations to analyze both multivariate time-series and communication network data. Through several case studies for analyzing the performance of PDES, we show that our visual analytics techniques and system can be effective in reasoning multiple performance metrics, temporal behaviors of the simulation, and the communication patterns. |
| Databáze: | OpenAIRE |
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