Kate Isaacs
@kisaacs.bsky.social
Assoc. Prof. Kahlert School of Computing & SCI Institute, The University of Utah. Data Visualization. HPC. She/Her. https://kisaacs.github.io
Some neat data visualizations in the posters too. This ACM SRC poster describes iSeeMore from VirginiaTech, a kinetic sculpture for visualizing parallel algorithms, in this case LLM computations. Hope to some day see it in person!
November 20, 2024 at 3:21 PM
Some neat data visualizations in the posters too. This ACM SRC poster describes iSeeMore from VirginiaTech, a kinetic sculpture for visualizing parallel algorithms, in this case LLM computations. Hope to some day see it in person!
Phuong Cao at NCSA visualizes 15 seconds of TCP connections drawn by Gephi (29k-ish nodes). The online version shows different cyber attacks: sc24.conference-program.com/presentation...
So many questions to ask of this data! Graph drawings get messy quick, but curiosity always has us looking!
So many questions to ask of this data! Graph drawings get messy quick, but curiosity always has us looking!
November 20, 2024 at 3:02 PM
Phuong Cao at NCSA visualizes 15 seconds of TCP connections drawn by Gephi (29k-ish nodes). The online version shows different cyber attacks: sc24.conference-program.com/presentation...
So many questions to ask of this data! Graph drawings get messy quick, but curiosity always has us looking!
So many questions to ask of this data! Graph drawings get messy quick, but curiosity always has us looking!
The day after I have multiple low-stakes small-group activities.
October 28, 2024 at 12:06 AM
The day after I have multiple low-stakes small-group activities.
Reposted by Kate Isaacs
Here is the ARXIV link to the paper if anyone is interested in reading it in full. arxiv.org/abs/2205.04557 Also, please reach out to me if you have any questions about the work, I’d love to chat.
Design Concerns for Integrated Scripting and Interactive Visualization in Notebook Environments
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 free-form exploration....
arxiv.org
October 20, 2024 at 5:09 PM
Here is the ARXIV link to the paper if anyone is interested in reading it in full. arxiv.org/abs/2205.04557 Also, please reach out to me if you have any questions about the work, I’d love to chat.
Come see Yifan talk about it in the "Applications: Industry, Computing, and Medicine", first paper in the last session of the day!
...or, check out the paper "Visual Exploratory Analysis for Designing Large-Scale Network-on-Chip Architectures: A Domain Expert-Led Design Study"
...or, check out the paper "Visual Exploratory Analysis for Designing Large-Scale Network-on-Chip Architectures: A Domain Expert-Led Design Study"
tinyurl.com
October 17, 2024 at 2:56 AM
Come see Yifan talk about it in the "Applications: Industry, Computing, and Medicine", first paper in the last session of the day!
...or, check out the paper "Visual Exploratory Analysis for Designing Large-Scale Network-on-Chip Architectures: A Domain Expert-Led Design Study"
...or, check out the paper "Visual Exploratory Analysis for Designing Large-Scale Network-on-Chip Architectures: A Domain Expert-Led Design Study"
My collaborators were tempted to skip design process steps, leading to some interventions. Yifan's sincere championing of vis, tools, & design kept these fruitful and pleasant. :)
Furthermore, designing domain-side gave us a fluid data collection to vis implementation loop!
Furthermore, designing domain-side gave us a fluid data collection to vis implementation loop!
October 17, 2024 at 2:43 AM
My collaborators were tempted to skip design process steps, leading to some interventions. Yifan's sincere championing of vis, tools, & design kept these fruitful and pleasant. :)
Furthermore, designing domain-side gave us a fluid data collection to vis implementation loop!
Furthermore, designing domain-side gave us a fluid data collection to vis implementation loop!
Our full collection of tasks and queries is described in the paper linked below.
We assembled these to help us with both selecting visual designs for large scale Gantt charts but also for data management concerns that come with drawing them!
arxiv.org/abs/2408.04050
We assembled these to help us with both selecting visual designs for large scale Gantt charts but also for data management concerns that come with drawing them!
arxiv.org/abs/2408.04050
A Literature-based Visualization Task Taxonomy for Gantt Charts
Gantt charts are a widely-used idiom for visualizing temporal discrete event sequence data where dependencies exist between events. They are popular in domains such as manufacturing and computing for ...
arxiv.org
October 17, 2024 at 2:19 AM
Our full collection of tasks and queries is described in the paper linked below.
We assembled these to help us with both selecting visual designs for large scale Gantt charts but also for data management concerns that come with drawing them!
arxiv.org/abs/2408.04050
We assembled these to help us with both selecting visual designs for large scale Gantt charts but also for data management concerns that come with drawing them!
arxiv.org/abs/2408.04050
While the example above is small, in computing and manufacturing contexts, Gantt chart data might have billions of events.
We collect supported tasks, how they are implemented in vis designs, and what queries need to be optimized to support them. This heat map shows prevalence in the literature:
We collect supported tasks, how they are implemented in vis designs, and what queries need to be optimized to support them. This heat map shows prevalence in the literature:
October 17, 2024 at 2:18 AM
While the example above is small, in computing and manufacturing contexts, Gantt chart data might have billions of events.
We collect supported tasks, how they are implemented in vis designs, and what queries need to be optimized to support them. This heat map shows prevalence in the literature:
We collect supported tasks, how they are implemented in vis designs, and what queries need to be optimized to support them. This heat map shows prevalence in the literature: