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Katherine E. Isaacs

Katherine Isaacs – Kate Isaacs

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affiliation: University of Utah, USA
affiliation (former): University of Arizona, AZ, USA

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2020 – today

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2024
[j13]
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Shaoyu Wang, Hang Yan, Katherine E. Isaacs, Yifan Sun:
Visual Exploratory Analysis for Designing Large-Scale Network-on-Chip Architectures: A Domain Expert-Led Design Study. IEEE Trans. Vis. Comput. Graph. 30(4): 1970-1983 (2024)
[j12]
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Connor Scully-Allison, Ian Lumsden, Katy Williams, Jesse Bartels, Michela Taufer, Stephanie Brink, Abhinav Bhatele, Olga Pearce, Katherine E. Isaacs:
Design Concerns for Integrated Scripting and Interactive Visualization in Notebook Environments. IEEE Trans. Vis. Comput. Graph. 30(9): 6572-6585 (2024)
[c26]
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Varun Dutt, Lucas Galan, Faiyaz Doctor, Lina Barakat, Kate Isaacs, Demetris Hadjigeorgiou, Aldo Fumagalli:
An AI Driven Pipeline for 6G Enabled Digital Creatives Identification, Performance Monitoring and Attribution. CCGridW 2024: 201-207
[c25]
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Jesse Harden, April Yi Wang, Rebecca Faust, Katherine E. Isaacs, Nurit Kirshenbaum, John E. Wenskovitch, Jian Zhao, Chris North:
Human-Notebook Interactions: The CHI of Computational Notebooks. CHI Extended Abstracts 2024: 478:1-478:6
[i16]
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Onur Cankur, Aditya Tomar, Daniel Nichols, Connor Scully-Allison, Katherine E. Isaacs, Abhinav Bhatele:
Automated Programmatic Performance Analysis of Parallel Programs. CoRR abs/2401.13150 (2024)
[i15]
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Chang Han, Katherine E. Isaacs:
A Deixis-Centered Approach for Documenting Remote Synchronous Communication around Data Visualizations. CoRR abs/2408.04041 (2024)
[i14]
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Chang Han, Justin Lieffers, Clayton Morrison, Katherine E. Isaacs:
An Overview + Detail Layout for Visualizing Compound Graphs. CoRR abs/2408.04045 (2024)
[i13]
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Sayef Azad Sakin, Katherine E. Isaacs:
A Literature-based Visualization Task Taxonomy for Gantt Charts. CoRR abs/2408.04050 (2024)
2023
[j11]
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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:
Traveler: Navigating Task Parallel Traces for Performance Analysis. IEEE Trans. Vis. Comput. Graph. 29(1): 788-797 (2023)
[c24]
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Katy Williams, Alex Bigelow, Katherine E. Isaacs:
Data Abstraction Elephants: The Initial Diversity of Data Representations and Mental Models. CHI 2023: 803:1-803:24
[c23]
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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:
Thicket: Seeing the Performance Experiment Forest for the Individual Run Trees. HPDC 2023: 281-293
2022
[c22]
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Ian Lumsden, Jakob Lüttgau, Vanessa Lama, Connor Scully-Allison, Stephanie Brink, Katherine E. Isaacs, Olga Pearce, Michela Taufer:
Enabling Call Path Querying in Hatchet to Identify Performance Bottlenecks in Scientific Applications. e-Science 2022: 256-266
[c21]
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R. Tohid, Shahrzad Shirzad, Christopher Taylor, Sayef Azad Sakin, Katherine E. Isaacs, Hartmut Kaiser:
Halide Code Generation Framework in Phylanx. Euro-Par Workshops 2022: 32-45
[c20]
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Katherine E. Isaacs:
Integrating Visualization (and Visualization Experts) with Performance Analysis. PERMAVOST@HPDC 2022: 3
[c19]
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Sabin Devkota, Matthew P. LeGendre, Adam Kunen, Pascal Aschwanden, Katherine E. Isaacs:
Domain-Centered Support for Layout, Tasks, and Specification for Control Flow Graph Visualization. VISSOFT 2022: 40-50
[i12]
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  - journals/corr/abs-2205-04557
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Connor Scully-Allison, Ian Lumsden, Katy Williams, Jesse Bartels, Michela Taufer, Stephanie Brink, Abhinav Bhatele, Olga Pearce, Katherine E. Isaacs:
Designing an Interactive, Notebook-Embedded, Tree Visualization to Support Exploratory Performance Analysis. CoRR abs/2205.04557 (2022)
[i11]
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  - journals/corr/abs-2208-00109
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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:
Traveler: Navigating Task Parallel Traces for Performance Analysis. CoRR abs/2208.00109 (2022)
2021
[j10]
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Sabin Devkota, Pascal Aschwanden, Adam Kunen, Matthew P. LeGendre, Katherine E. Isaacs:
CcNav: Understanding Compiler Optimizations in Binary Code. IEEE Trans. Vis. Comput. Graph. 27(2): 667-677 (2021)
[j9]
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Alex Bigelow, Katy Williams, Katherine E. Isaacs:
Guidelines For Pursuing and Revealing Data Abstractions. IEEE Trans. Vis. Comput. Graph. 27(2): 1503-1513 (2021)
[i10]
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  - journals/corr/abs-2107-00065
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Connor Scully-Allison, Katherine E. Isaacs:
Design and Evaluation of Scalable Representations of Communication in Gantt Charts for Large-scale Execution Traces. CoRR abs/2107.00065 (2021)
[i9]
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Sabin Devkota, Matthew P. LeGendre, Adam Kunen, Pascal Aschwanden, Katherine E. Isaacs:
CFGConf: Supporting high level requirements for visualizing Control Flow Graphs. CoRR abs/2108.03047 (2021)
2020
[j8]
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Katy Williams, Alex Bigelow, Kate Isaacs:
Visualizing a Moving Target: A Design Study on Task Parallel Programs in the Presence of Evolving Data and Concerns. IEEE Trans. Vis. Comput. Graph. 26(1): 1118-1128 (2020)
[c18]
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Steven R. Brandt, Bita Hasheminezhad, Nanmiao Wu, Sayef Azad Sakin, Alex R. Bigelow, Katherine E. Isaacs, Kevin A. Huck, Hartmut Kaiser:
Distributed Asynchronous Array Computing with the JetLag Environment. PyHPC@SC 2020: 49-57
[c17]
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Stephanie Brink, Ian Lumsden, Connor Scully-Allison, Katy Williams, Olga Pearce, Todd Gamblin, Michela Taufer, Katherine E. Isaacs, Abhinav Bhatele:
Usability and Performance Improvements in Hatchet. HUST/ProTools@SC 2020: 49-58
[c16]
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Steven R. Brandt, Alex Bigelow, Sayef Azad Sakin, Katy Williams, Katherine E. Isaacs, Kevin A. Huck, Rod Tohid, Bibek Wagle, Shahrzad Shirzad, Hartmut Kaiser:
JetLag: An Interactive, Asynchronous Array Computing Environment. PEARC 2020: 8-12
[i8]
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  - journals/corr/abs-2005-04058
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Alex Bigelow, Katy Williams, Katherine E. Isaacs:
Guidelines For Pursuing and Revealing Data Abstractions. CoRR abs/2005.04058 (2020)
[i7]
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  - journals/corr/abs-2009-00956
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Sabin Devkota, Pascal Aschwanden, Adam Kunen, Matthew P. LeGendre, Katherine E. Isaacs:
CcNav: Understanding Compiler Optimizations in Binary Code. CoRR abs/2009.00956 (2020)

2010 – 2019

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2019
[j7]
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Bongshin Lee, Kate Isaacs, Danielle Albers Szafir, G. Elisabeta Marai, Cagatay Turkay, Melanie Tory, Sheelagh Carpendale, Alex Endert, Theresa-Marie Rhyne:
Broadening Intellectual Diversity in Visualization Research Papers. IEEE Computer Graphics and Applications 39(4): 78-85 (2019)
[j6]
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Katherine E. Isaacs, Todd Gamblin:
Preserving Command Line Workflow for a Package Management System Using ASCII DAG Visualization. IEEE Trans. Vis. Comput. Graph. 25(9): 2804-2820 (2019)
[c15]
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Sabin Devkota, Abu Reyan Ahmed, Felice De Luca, Katherine E. Isaacs, Stephen G. Kobourov:
Stress-Plus-X (SPX) Graph Layout. GD 2019: 291-304
[i6]
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  - journals/corr/abs-1905-13135
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Katy Williams, Alex Bigelow, Kate Isaacs:
Visualizing a Moving Target: A Design Study on Task Parallel Programs in the Presence of Evolving Data and Concerns. CoRR abs/1905.13135 (2019)
[i5]
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  - journals/corr/abs-1907-02872
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Rebecca Faust, Katherine Isaacs, William Z. Bernstein, Michael Sharp, Carlos Scheidegger:
Anteater: Interactive Visualization for Program Understanding. CoRR abs/1907.02872 (2019)
[i4]
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  - journals/corr/abs-1908-01769
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Sabin Devkota, Abu Reyan Ahmed, Felice De Luca, Kate Isaacs, Stephen G. Kobourov:
Stress-Plus-X (SPX) Graph Layout. CoRR abs/1908.01769 (2019)
[i3]
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Katherine E. Isaacs, Todd Gamblin:
Preserving Command Line Workflow for a Package Management System using ASCII DAG Visualization. CoRR abs/1908.07544 (2019)
2018
[j5]
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Shenghui Cheng, Wen Zhong, Katherine E. Isaacs, Klaus Mueller:
Visualizing the Topology and Data Traffic of Multi-Dimensional Torus Interconnect Networks. IEEE Access 6: 57191-57204 (2018)
[j4]
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Sabin Devkota, Katherine E. Isaacs:
CFGExplorer: Designing a Visual Control Flow Analytics System around Basic Program Analysis Operations. Comput. Graph. Forum 37(3): 453-464 (2018)
[c14]
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Helen C. Purchase, Katherine Isaacs, Thomas Bueti, Ben Hastings, Aadam Kassam, Allen Kim, Steffan van Hoesen:
A Classification of Infographics. Diagrams 2018: 210-218
[c13]
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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:
Asynchronous Execution of Python Code on Task-Based Runtime Systems. ESPM2@SC 2018: 37-45
[i2]
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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:
Asynchronous Execution of Python Code on Task Based Runtime Systems. CoRR abs/1810.07591 (2018)
[i1]
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Fabian Beck, Alexandre Bergel, Cor-Paul Bezemer, Katherine E. Isaacs:
Visualizing systems and software performance - Report on the GI-Dagstuhl seminar for young researchers, July 9-13, 2018. PeerJ Prepr. 6: e27253 (2018)
2017
[c12]
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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:
Language-Agnostic Optimization and Parallelization for Interpreted Languages. LCPC 2017: 36-46
2016
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Katherine E. Isaacs, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann, Peer-Timo Bremer:
Ordering Traces Logically to Identify Lateness in Message Passing Programs. IEEE Trans. Parallel Distributed Syst. 27(3): 829-840 (2016)
2015
[c11]
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Katherine E. Isaacs, Abhinav Bhatele, Jonathan Lifflander, David Böhme, Todd Gamblin, Martin Schulz, Bernd Hamann, Peer-Timo Bremer:
Recovering logical structure from Charm++ event traces. SC 2015: 49:1-49:12
2014
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Katherine E. Isaacs, Peer-Timo Bremer, Ilir Jusufi, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann:
Combing the Communication Hairball: Visualizing Parallel Execution Traces using Logical Time. IEEE Trans. Vis. Comput. Graph. 20(12): 2349-2358 (2014)
[c10]
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Abhinav Bhatele, Nikhil Jain, Katherine E. Isaacs, Ronak Buch, Todd Gamblin, Steven H. Langer, Laxmikant V. Kalé:
Optimizing the performance of parallel applications on a 5D torus via task mapping. HiPC 2014: 1-10
[c9]
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Katherine E. Isaacs, Todd Gamblin, Abhinav Bhatele, Peer-Timo Bremer, Martin Schulz, Bernd Hamann:
Extracting logical structure and identifying stragglers in parallel execution traces. PPoPP 2014: 397-398
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Collin M. McCarthy, Katherine E. Isaacs, Abhinav Bhatele, Peer-Timo Bremer, Bernd Hamann:
Visualizing the five-dimensional torus network of the IBM blue gene/Q. VPA@SC 2014: 24-27
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Katherine E. Isaacs, Alfredo Giménez, Ilir Jusufi, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann, Peer-Timo Bremer:
State of the Art of Performance Visualization. EuroVis (STARs) 2014
2013
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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:
Performance Analysis Techniques for the Exascale Co-Design Process. PARCO 2013: 19-32
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Abhinav Bhatele, Kathryn M. Mohror, Steve H. Langer, Katherine E. Isaacs:
There goes the neighborhood: performance degradation due to nearby jobs. SC 2013: 41:1-41:12
2012
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Aaditya G. Landge, Joshua A. Levine, Abhinav Bhatele, Katherine E. Isaacs, Todd Gamblin, Martin Schulz, Steve H. Langer, Peer-Timo Bremer, Valerio Pascucci:
Visualizing Network Traffic to Understand the Performance of Massively Parallel Simulations. IEEE Trans. Vis. Comput. Graph. 18(12): 2467-2476 (2012)
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Abhinav Bhatele, Todd Gamblin, Katherine E. Isaacs, Brian T. N. Gunney, Martin Schulz, Peer-Timo Bremer, Bernd Hamann:
Novel views of performance data to analyze large-scale adaptive applications. SC 2012: 31
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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:
Mapping applications with collectives over sub-communicators on torus networks. SC 2012: 97
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Katherine E. Isaacs, Aaditya G. Landge, Todd Gamblin, Peer-Timo Bremer, Valerio Pascucci, Bernd Hamann:
Abstract: Exploring Performance Data with Boxfish. SC Companion 2012: 1380-1381
2011
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Martin Schulz, Abhinav Bhatele, Peer-Timo Bremer, Todd Gamblin, Katherine E. Isaacs, Joshua A. Levine, Valerio Pascucci:
Creating a Tool Set for Optimizing Topology-Aware Node Mappings. Parallel Tools Workshop 2011: 1-12

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