Katherine E. Isaacs

According to our database, Katherine E. Isaacs authored at least 48 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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., September, 2024

Visual Exploratory Analysis for Designing Large-Scale Network-on-Chip Architectures: A Domain Expert-Led Design Study.

Shaoyu Wang, Hang Yan, Katherine E. Isaacs, Yifan Sun

IEEE Trans. Vis. Comput. Graph., April, 2024

A Literature-based Visualization Task Taxonomy for Gantt Charts.

Sayef Azad Sakin, Katherine E. Isaacs

CoRR, 2024

An Overview + Detail Layout for Visualizing Compound Graphs.

Chang Han, Justin Lieffers, Clayton Morrison, Katherine E. Isaacs

CoRR, 2024

A Deixis-Centered Approach for Documenting Remote Synchronous Communication around Data Visualizations.

Chang Han, Katherine E. Isaacs

CoRR, 2024

Automated Programmatic Performance Analysis of Parallel Programs.

Onur Cankur, Aditya Tomar, Daniel Nichols, Connor Scully-Allison, Katherine E. Isaacs, Abhinav Bhatele

CoRR, 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, Chris North

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

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

Proceedings of the 24th IEEE International Symposium on Cluster, 2024

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

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

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

Data Abstraction Elephants: The Initial Diversity of Data Representations and Mental Models.

Katy Williams, Alex Bigelow, Katherine E. Isaacs

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

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

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

Proceedings of the Working Conference on Software Visualization, 2022

Integrating Visualization (and Visualization Experts) with Performance Analysis.

Katherine E. Isaacs

Proceedings of the PERMAVOST@HPDC 2022: Proceedings of the 2nd Workshop on Performance EngineeRing, 2022

Halide Code Generation Framework in Phylanx.

R. Tohid, Shahrzad Shirzad, Christopher Taylor, Sayef Azad Sakin, Katherine E. Isaacs, Hartmut Kaiser

Proceedings of the Euro-Par 2022: Parallel Processing Workshops, 2022

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

Proceedings of the 18th IEEE International Conference on e-Science, 2022

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

Guidelines For Pursuing and Revealing Data Abstractions.

Alex Bigelow, Katy Williams, Katherine E. Isaacs

IEEE Trans. Vis. Comput. Graph., 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

Design and Evaluation of Scalable Representations of Communication in Gantt Charts for Large-scale Execution Traces.

Connor Scully-Allison, Katherine E. Isaacs

CoRR, 2021

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

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

Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 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

Proceedings of the IEEE/ACM International Workshop on HPC User Support Tools and Workshop on Programming and Performance Visualization Tools, 2020

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

Proceedings of the 9th IEEE/ACM Workshop on Python for High-Performance and Scientific Computing, 2020

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

Anteater: Interactive Visualization for Program Understanding.

Rebecca Faust, Katherine Isaacs, William Z. Bernstein, Michael Sharp, Carlos Scheidegger

CoRR, 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

Stress-Plus-X (SPX) Graph Layout.

Sabin Devkota, Abu Reyan Ahmed, Felice De Luca, Katherine E. Isaacs, Stephen G. Kobourov

Proceedings of the Graph Drawing and Network Visualization - 27th International Symposium, 2019

2018

Visualizing systems and software performance - Report on the GI-Dagstuhl seminar for young researchers, July 9-13, 2018.

Fabian Beck, Alexandre Bergel, Cor-Paul Bezemer, Katherine E. Isaacs

PeerJ Prepr., 2018

CFGExplorer: Designing a Visual Control Flow Analytics System around Basic Program Analysis Operations.

Sabin Devkota, Katherine E. Isaacs

Comput. Graph. Forum, 2018

Visualizing the Topology and Data Traffic of Multi-Dimensional Torus Interconnect Networks.

Shenghui Cheng, Wen Zhong, Katherine E. Isaacs, Klaus Mueller

IEEE Access, 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

Proceedings of the 4th International Workshop on Extreme Scale Programming Models and Middleware, 2018

A Classification of Infographics.

Helen C. Purchase, Katherine Isaacs, Thomas Bueti, Ben Hastings, Aadam Kassam, Allen Kim, Steffan van Hoesen

Proceedings of the Diagrammatic Representation and Inference, 2018

2017

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, Benjamin Gaska, Brandon Neth, Theo Sackos, Jon Stephens, Sarah Willer, Babak Yadegari

Proceedings of the Languages and Compilers for Parallel Computing, 2017

2016

Ordering Traces Logically to Identify Lateness in Message Passing Programs.

Katherine E. Isaacs, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann, Peer-Timo Bremer

IEEE Trans. Parallel Distributed Syst., 2016

2015

Recovering logical structure from Charm++ event traces.

Katherine E. Isaacs, Abhinav Bhatele, Jonathan Lifflander, David Böhme, Todd Gamblin, Martin Schulz, Bernd Hamann, Peer-Timo Bremer

Proceedings of the International Conference for High Performance Computing, 2015

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, Bernd Hamann

IEEE Trans. Vis. Comput. Graph., 2014

State of the Art of Performance Visualization.

Katherine E. Isaacs, Alfredo Giménez, Ilir Jusufi, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann, Peer-Timo Bremer

Proceedings of the 16th Eurographics Conference on Visualization, 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

Proceedings of the First Workshop on Visual Performance Analysis, 2014

Extracting logical structure and identifying stragglers in parallel execution traces.

Katherine E. Isaacs, Todd Gamblin, Abhinav Bhatele, Peer-Timo Bremer, Martin Schulz, Bernd Hamann

Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2014

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

Proceedings of the 21st International Conference on High Performance Computing, 2014

2013

There goes the neighborhood: performance degradation due to nearby jobs.

Abhinav Bhatele, Kathryn M. Mohror, Steve H. Langer, Katherine E. Isaacs

Proceedings of the International Conference for High Performance Computing, 2013

Performance Analysis Techniques for the Exascale Co-Design Process.

Martin Schulz, 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, Barry Rountree

Proceedings of the Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2013

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, Steve H. Langer, Peer-Timo Bremer, Valerio Pascucci

IEEE Trans. Vis. Comput. Graph., 2012

Abstract: Exploring Performance Data with Boxfish.

Katherine E. Isaacs, Aaditya G. Landge, Todd Gamblin, Peer-Timo Bremer, Valerio Pascucci, Bernd Hamann

Proceedings of the 2012 SC Companion: High Performance Computing, 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, Charles H. Still

Proceedings of the SC Conference on High Performance Computing Networking, 2012

Novel views of performance data to analyze large-scale adaptive applications.

Abhinav Bhatele, Todd Gamblin, Katherine E. Isaacs, Brian T. N. Gunney, Martin Schulz, Peer-Timo Bremer, Bernd Hamann

Proceedings of the SC Conference on High Performance Computing Networking, 2012

2011

Creating a Tool Set for Optimizing Topology-Aware Node Mappings.

Martin Schulz, Abhinav Bhatele, Peer-Timo Bremer, Todd Gamblin, Katherine E. Isaacs, Joshua A. Levine, Valerio Pascucci

Proceedings of the Tools for High Performance Computing 2011, 2011