Integrating Visualization (and Visualization Experts) with Performance Analysis

Katherine E. Isaacs
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Abstract

Identifying and understanding poor performance is an increasingly difficult task due to the growing complexity and scale of target applications and systems. Visualization is an important tool for exploratory and comprehension-centered goals, leading to development of visualizations and visual tools from both the performance analysis and visualization communities. However, there are several obstacles to wide-spread adoption of these visual tools and techniques, such as scale and ease-of-use. Furthermore, the challenge of visualizing such large and complex data often takes precedence over the other challenges that must be solved to get these tools into the hands of users. Addressing these issues requires making trade-offs which in turn require a firm understanding of performance analysts' needs and workflows. Through several projects in performance visualization, I discuss observed barriers to designing and deploying performance visualization solutions as well as the perspective of visualization-focused experts in working in the performance analysis space. I then propose directions focusing on these gaps between the visual design and integration into performance analysis workflows.
集成可视化(和可视化专家)与性能分析
由于目标应用程序和系统的复杂性和规模的增加,识别和理解不良性能是一项越来越困难的任务。可视化是实现以探索性和综合性为中心的目标的重要工具,导致了性能分析和可视化社区的可视化和可视化工具的开发。然而,这些可视化工具和技术的广泛采用存在一些障碍,例如规模和易用性。此外,将如此庞大而复杂的数据可视化的挑战往往优先于将这些工具交付给用户所必须解决的其他挑战。解决这些问题需要做出权衡,这反过来又需要对性能分析师的需求和工作流程有一个坚定的理解。通过性能可视化中的几个项目,我讨论了在设计和部署性能可视化解决方案时观察到的障碍,以及在性能分析领域工作的专注于可视化的专家的观点。然后,我提出了关注可视化设计和集成到性能分析工作流之间的这些差距的方向。
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