Creating a Tool Set for Optimizing Topology-Aware Node Mappings. - Martin Schulz 001; Abhinav Bhatele; Peer-Timo Bremer; Todd Gamblin; Katherine E. Isaacs; Joshua A. Levine; Valerio Pascucci (Parallel Tools Workshop, 2011)

Novel views of performance data to analyze large-scale adaptive applications. - Abhinav Bhatele; Todd Gamblin; Katherine E. Isaacs; Brian T. N. Gunney; Martin Schulz 001; Peer-Timo Bremer; Bernd Hamann (SC, 2012)

Mapping applications with collectives over sub-communicators on torus networks. - Abhinav Bhatele; Todd Gamblin; Steve H. Langer; Peer-Timo Bremer; Erik W. Draeger; Bernd Hamann; Katherine E. Isaacs; Aaditya G. Landge; Joshua A. Levine; Valerio Pascucci; Martin Schulz 001; Charles H. Still (SC, 2012)

Abstract: Exploring Performance Data with Boxfish. - Katherine E. Isaacs; Aaditya G. Landge; Todd Gamblin; Peer-Timo Bremer; Valerio Pascucci; Bernd Hamann (SC Companion, 2012)

Visualizing Network Traffic to Understand the Performance of Massively Parallel Simulations. - Aaditya G. Landge; Joshua A. Levine; Abhinav Bhatele; Katherine E. Isaacs; Todd Gamblin; Martin Schulz 001; Steve H. Langer; Peer-Timo Bremer; Valerio Pascucci (IEEE Trans. Vis. Comput. Graph., 2012)

Performance Analysis Techniques for the Exascale Co-Design Process. - Martin Schulz 001; James F. Belak; Abhinav Bhatele; Peer-Timo Bremer; Greg Bronevetsky; Marc Casas; Todd Gamblin; Katherine E. Isaacs; Ignacio Laguna; Joshua A. Levine; Valerio Pascucci; David F. Richards; et al. (PARCO, 2013)

There goes the neighborhood: performance degradation due to nearby jobs. - Abhinav Bhatele; Kathryn M. Mohror; Steve H. Langer; Katherine E. Isaacs (SC, 2013)

Optimizing the performance of parallel applications on a 5D torus via task mapping. - Abhinav Bhatele; Nikhil Jain; Katherine E. Isaacs; Ronak Buch; Todd Gamblin; Steven H. Langer; Laxmikant V. Kalé (HiPC, 2014)

Extracting logical structure and identifying stragglers in parallel execution traces. - Katherine E. Isaacs; Todd Gamblin; Abhinav Bhatele; Peer-Timo Bremer; Martin Schulz 001; Bernd Hamann (PPoPP, 2014)

Visualizing the five-dimensional torus network of the IBM blue gene/Q. - Collin M. McCarthy; Katherine E. Isaacs; Abhinav Bhatele; Peer-Timo Bremer; Bernd Hamann (VPA@SC, 2014)

State of the Art of Performance Visualization. - Katherine E. Isaacs; Alfredo Giménez; Ilir Jusufi; Todd Gamblin; Abhinav Bhatele; Martin Schulz 001; Bernd Hamann; Peer-Timo Bremer (EuroVis (STARs), 2014)

Combing the Communication Hairball: Visualizing Parallel Execution Traces using Logical Time. - Katherine E. Isaacs; Peer-Timo Bremer; Ilir Jusufi; Todd Gamblin; Abhinav Bhatele; Martin Schulz 001; Bernd Hamann (IEEE Trans. Vis. Comput. Graph., 2014)

Recovering logical structure from Charm++ event traces. - Katherine E. Isaacs; Abhinav Bhatele; Jonathan Lifflander; David Böhme; Todd Gamblin; Martin Schulz 001; Bernd Hamann; Peer-Timo Bremer (SC, 2015)

Ordering Traces Logically to Identify Lateness in Message Passing Programs. - Katherine E. Isaacs; Todd Gamblin; Abhinav Bhatele; Martin Schulz 001; Bernd Hamann; Peer-Timo Bremer (IEEE Trans. Parallel Distributed Syst., 2016)

Language-Agnostic Optimization and Parallelization for Interpreted Languages. - Michelle Mills Strout; Saumya Debray; Kate Isaacs; Barbara Kreaseck; Julio Cárdenas-Rodríguez; Bonnie L. Hurwitz; Kat Volk; Sam Badger; Jesse Bartels; Ian J. Bertolacci; Sabin Devkota; Anthony Encinas; et al. (LCPC, 2017)

A Classification of Infographics. - Helen C. Purchase; Katherine Isaacs; Thomas Bueti; Ben Hastings; Aadam Kassam; Allen Kim; Steffan van Hoesen (Diagrams, 2018)

Asynchronous Execution of Python Code on Task-Based Runtime Systems. - R. Tohid; Bibek Wagle; Shahrzad Shirzad; Patrick Diehl; Adrian Serio; Alireza Kheirkhahan; Parsa Amini; Katy Williams; Kate Isaacs; Kevin A. Huck; Steven R. Brandt; Hartmut Kaiser (ESPM2@SC, 2018)

Visualizing the Topology and Data Traffic of Multi-Dimensional Torus Interconnect Networks. - Shenghui Cheng; Wen Zhong; Katherine E. Isaacs; Klaus Mueller 001 (IEEE Access, 2018)

CFGExplorer: Designing a Visual Control Flow Analytics System around Basic Program Analysis Operations. - Sabin Devkota; Katherine E. Isaacs (Comput. Graph. Forum, 2018)

Visualizing systems and software performance - Report on the GI-Dagstuhl seminar for young researchers, July 9-13, 2018. - Fabian Beck 001; Alexandre Bergel; Cor-Paul Bezemer; Katherine E. Isaacs (PeerJ Prepr., 2018)

Stress-Plus-X (SPX) Graph Layout. - Sabin Devkota; Abu Reyan Ahmed; Felice De Luca; Katherine E. Isaacs; Stephen G. Kobourov (GD, 2019)

Broadening Intellectual Diversity in Visualization Research Papers. - Bongshin Lee; Kate Isaacs; Danielle Albers Szafir; G. Elisabeta Marai; Cagatay Turkay; Melanie Tory; Sheelagh Carpendale; Alex Endert; Theresa-Marie Rhyne (IEEE Computer Graphics and Applications, 2019)

Anteater: Interactive Visualization for Program Understanding. - Rebecca Faust; Katherine Isaacs; William Z. Bernstein; Michael Sharp; Carlos Scheidegger (CoRR, 2019)

Preserving Command Line Workflow for a Package Management System Using ASCII DAG Visualization. - Katherine E. Isaacs; Todd Gamblin (IEEE Trans. Vis. Comput. Graph., 2019)

Distributed Asynchronous Array Computing with the JetLag Environment. - Steven R. Brandt; Bita Hasheminezhad; Nanmiao Wu; Sayef Azad Sakin; Alex R. Bigelow; Katherine E. Isaacs; Kevin A. Huck; Hartmut Kaiser (PyHPC@SC, 2020)

Usability and Performance Improvements in Hatchet. - Stephanie Brink; Ian Lumsden; Connor Scully-Allison; Katy Williams; Olga Pearce; Todd Gamblin; Michela Taufer; Katherine E. Isaacs; Abhinav Bhatele (HUST/ProTools@SC, 2020)

JetLag: An Interactive, Asynchronous Array Computing Environment. - Steven R. Brandt; Alex Bigelow; Sayef Azad Sakin; Katy Williams; Katherine E. Isaacs; Kevin A. Huck; Rod Tohid; Bibek Wagle; Shahrzad Shirzad; Hartmut Kaiser (PEARC, 2020)

Visualizing a Moving Target: A Design Study on Task Parallel Programs in the Presence of Evolving Data and Concerns. - Katy Williams; Alex Bigelow; Kate Isaacs (IEEE Trans. Vis. Comput. Graph., 2020)

Design and Evaluation of Scalable Representations of Communication in Gantt Charts for Large-scale Execution Traces. - Connor Scully-Allison; Katherine E. Isaacs (CoRR, 2021)

CFGConf: Supporting high level requirements for visualizing Control Flow Graphs. - Sabin Devkota; Matthew P. LeGendre; Adam Kunen; Pascal Aschwanden; Katherine E. Isaacs (CoRR, 2021)

Guidelines For Pursuing and Revealing Data Abstractions. - Alex Bigelow; Katy Williams; Katherine E. Isaacs (IEEE Trans. Vis. Comput. Graph., 2021)

CcNav: Understanding Compiler Optimizations in Binary Code. - Sabin Devkota; Pascal Aschwanden; Adam Kunen; Matthew P. LeGendre; Katherine E. Isaacs (IEEE Trans. Vis. Comput. Graph., 2021)

Enabling Call Path Querying in Hatchet to Identify Performance Bottlenecks in Scientific Applications. - Ian Lumsden; Jakob Lüttgau; Vanessa Lama; Connor Scully-Allison; Stephanie Brink; Katherine E. Isaacs; Olga Pearce; Michela Taufer (e-Science, 2022)

Halide Code Generation Framework in Phylanx. - R. Tohid; Shahrzad Shirzad; Christopher Taylor; Sayef Azad Sakin; Katherine E. Isaacs; Hartmut Kaiser (Euro-Par Workshops, 2022)

Integrating Visualization (and Visualization Experts) with Performance Analysis. - Katherine E. Isaacs (PERMAVOST@HPDC, 2022)

Domain-Centered Support for Layout, Tasks, and Specification for Control Flow Graph Visualization. - Sabin Devkota; Matthew P. LeGendre; Adam Kunen; Pascal Aschwanden; Katherine E. Isaacs (VISSOFT, 2022)

Designing an Interactive, Notebook-Embedded, Tree Visualization to Support Exploratory Performance Analysis. - Connor Scully-Allison; Ian Lumsden; Katy Williams; Jesse Bartels; Michela Taufer; Stephanie Brink; Abhinav Bhatele; Olga Pearce; Katherine E. Isaacs (CoRR, 2022)

Data Abstraction Elephants: The Initial Diversity of Data Representations and Mental Models. - Katy Williams; Alex Bigelow; Katherine E. Isaacs (CHI, 2023)

Thicket: Seeing the Performance Experiment Forest for the Individual Run Trees. - Stephanie Brink; Michael McKinsey; David Böhme; Connor Scully-Allison; Ian Lumsden; W. Daryl Hawkins; Treece Burgess; Vanessa Lama; Jakob Lüttgau; Katherine E. Isaacs; Michela Taufer; Olga Pearce (HPDC, 2023)

Traveler: Navigating Task Parallel Traces for Performance Analysis. - Sayef Azad Sakin; Alex Bigelow; R. Tohid; Connor Scully-Allison; Carlos Scheidegger; Steven R. Brandt; Christopher Taylor; Kevin A. Huck; Hartmut Kaiser; Katherine E. Isaacs (IEEE Trans. Vis. Comput. Graph., 2023)

An AI Driven Pipeline for 6G Enabled Digital Creatives Identification, Performance Monitoring and Attribution. - Varun Dutt; Lucas Galan; Faiyaz Doctor; Lina Barakat; Kate Isaacs; Demetris Hadjigeorgiou; Aldo Fumagalli (CCGridW, 2024)

Human-Notebook Interactions: The CHI of Computational Notebooks. - Jesse Harden; April Yi Wang; Rebecca Faust; Katherine E. Isaacs; Nurit Kirshenbaum; John E. Wenskovitch; Jian Zhao 010; Chris North 001 (CHI Extended Abstracts, 2024)

Looking into the Black Box: Monitoring Computer Architecture Simulations in Real-Time with AkitaRTM. - Ali Mosallaei; Katherine E. Isaacs; Yifan Sun 002 (MICRO, 2024)

Explainable Digital Creatives Performance Monitoring using Deep Feature Attribution. - Varun Dutt; Demetris Hadjigeorgiou; Lucas Galan; Faiyaz Doctor; Lina Barakat; Kate Isaacs (SOSE, 2024)

Evaluating Communication Pattern Representations in Execution Trace Gantt Charts. - Connor Scully-Allison; Katherine E. Isaacs (VISSOFT, 2024)

An Overview+Detail Layout for Visualizing Compound Graphs. - Chang Han; Justin Lieffers; Clayton Morrison; Katherine E. Isaacs (IEEE VIS, 2024)

A Literature-based Visualization Task Taxonomy for Gantt Charts. - Sayef Azad Sakin; Katherine E. Isaacs (IEEE VIS, 2024)

Automated Programmatic Performance Analysis of Parallel Programs. - Onur Cankur; Aditya Tomar; Daniel Nichols; Connor Scully-Allison; Katherine E. Isaacs; Abhinav Bhatele (CoRR, 2024)

Audience Reach of Scientific Data Visualizations in Planetarium-Screened Films. - Kalina Borkiewicz; Eric Jensen; Yiwen Miao; Stuart Levy; Jill P. Naiman; Jeff Carpenter; Katherine E. Isaacs (CoRR, 2024)

Visual Exploratory Analysis for Designing Large-Scale Network-on-Chip Architectures: A Domain Expert-Led Design Study. - Shaoyu Wang; Hang Yan 003; Katherine E. Isaacs; Yifan Sun 002 (IEEE Trans. Vis. Comput. Graph., 2024)

Design Concerns for Integrated Scripting and Interactive Visualization in Notebook Environments. - Connor Scully-Allison; Ian Lumsden; Katy Williams; Jesse Bartels; Michela Taufer; Stephanie Brink; Abhinav Bhatele; Olga Pearce; Katherine E. Isaacs (IEEE Trans. Vis. Comput. Graph., 2024)

A Tale of Two Models: Understanding Data Workers' Internal and External Representations of Complex Data. - Connor Scully-Allison; Katy Williams; Stephanie Brink; Olga Pearce; Katherine E. Isaacs (CoRR, 2025)

A Deixis-Centered Approach for Documenting Remote Synchronous Communication Around Data Visualizations. - Chang Han; Katherine E. Isaacs (IEEE Trans. Vis. Comput. Graph., 2025)

Same Data, Different Audiences: Using Personas to Scope a Supercomputing Job Queue Visualization. - Connor Scully-Allison; Kevin Menear; Kristin Potter; Andrew McNutt; Katherine E. Isaacs; Dmitry Duplyakin (CoRR, 2025)

Managing Data for Scalable and Interactive Event Sequence Visualization. - Sayef Azad Sakin; Katherine E. Isaacs (CoRR, 2025)