3 citations · 3 across the 6 of their papers we have counts for
6 papers
Same Data, Different Audiences: Using Personas to Scope a Supercomputing Job Queue Visualization
Connor Scully-Allison, Kevin Menear, Kristin Potter +3
Domain-specific visualizations sometimes focus on narrow, albeit important, tasks for one group of users. This focus limits the utility of a visualization to other groups working w…
A Tale of Two Models: Understanding Data Workers' Internal and External Representations of Complex Data
Connor Scully-Allison, Katy Williams, Stephanie Brink +2
Data workers may have a a different mental model of their data that the one reified in code. Understanding the organization of their data is necessary for analyzing data, be it thr…
Automated Programmatic Performance Analysis of Parallel Programs
Onur Cankur, Aditya Tomar, Daniel Nichols +3
Developing efficient parallel applications is critical to advancing scientific development but requires significant performance analysis and optimization. Performance analysis tool…
Traveler: Navigating Task Parallel Traces for Performance Analysis
Sayef Azad Sakin, Alex Bigelow, R. Tohid +7
Understanding the behavior of software in execution is a key step in identifying and fixing performance issues. This is especially important in high performance computing contexts…
Design Concerns for Integrated Scripting and Interactive Visualization in Notebook Environments
Connor Scully-Allison, Ian Lumsden, Katy Williams +6
Interactive visualization can support fluid exploration but is often limited to predetermined tasks. Scripting can support a vast range of queries but may be more cumbersome for fr…
Design and Evaluation of Scalable Representations of Communication in Gantt Charts for Large-scale Execution Traces
Connor Scully-Allison, Katherine E. Isaacs
Gantt charts are frequently used to explore execution traces of large-scale parallel programs found in high-performance computing (HPC). In these visualizations, each parallel proc…