Matthew J. Turk

According to our database, Matthew J. Turk authored at least 21 papers between 2013 and 2024.

Collaborative distances:

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

2024

Libyt: A Tool for Parallel In Situ Analysis with yt, Python, and Jupyter.

Shin-Rong Tsai, Hsi-Yu Schive, Matthew Turk

Proceedings of the Platform for Advanced Scientific Computing Conference, 2024

Developing Library and Data Storytelling Toolkits: Scenarios and Personas.

Kate McDowell, Xinhui Hu, Matthew Turk

Proceedings of the Wisdom, Well-Being, Win-Win, 2024

2020

Pooch: A friend to fetch your data files.

Leonardo Uieda, Santiago Soler, Rémi Rampin, Hugo van Kemenade, Matthew J. Turk, Daniel Shapero, Anderson Banihirwe, John R. Leeman

J. Open Source Softw., 2020

widgyts: Custom Jupyter Widgets for Interactive Data Exploration with yt.

Madicken Munk, Matthew J. Turk

J. Open Source Softw., 2020

The challenges of theory-software translation.

Caroline Jay, Robert Haines, Daniel S. Katz, Jeffrey C. Carver, Sandra Gesing, Steven R. Brandt, James Howison, Anshu Dubey, James C. Phillips, Hui Wan, Matthew J. Turk

F1000Research, 2020

2019

ENZO: An Adaptive Mesh Refinement Code for Astrophysics (Version 2.6).

Corey Brummel-Smith, Greg Bryan, Iryna Butsky, Lauren Corlies, Andrew Emerick, John Forbes, Yusuke Fujimoto, Nathan J. Goldbaum, Philipp Grete, Cameron Hummels, Ji-hoon Kim, Daegene Koh, Miao Li, Yuan Li, Xinyu Li, Brian W. O'Shea, Molly Peeples, John Regan, Munier Salem, Wolfram Schmidt, Christine Simpson, Britton Smith, Jason Tumlinson, Matthew J. Turk, John H. Wise, Tom Abel, James Bordner, Renyue Cen, David Collins, Brian Crosby, Philipp V. F. Edelmann, Oliver Hahn, Robert Harkness, Elizabeth Harper-Clark, Shuo Kong, Alexei G. Kritsuk, Michael Kuhlen, James Larrue, Eve Lee, Greg Meece, Michael L. Norman, Jeffrey S. Oishi, Pascal Paschos, Carolyn Peruta, Alex Razoumov, Daniel R. Reynolds, Devin Silvia, Samuel W. Skillman, Stephen Skory, Geoffrey So, Elizabeth J. Tasker, Rick Wagner, Peng Wang, Hao Xu, Fen Zhao

J. Open Source Softw., 2019

Computing environments for reproducibility: Capturing the "Whole Tale".

Adam Brinckman, Kyle Chard, Niall Gaffney, Mihael Hategan, Matthew B. Jones, Kacper Kowalik, Sivakumar Kulasekaran, Bertram Ludäscher, Bryce D. Mecum, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Matthew J. Turk, Kandace Turner

Future Gener. Comput. Syst., 2019

Theory-Software Translation: Research Challenges and Future Directions.

Caroline Jay, Robert Haines, Daniel S. Katz, Jeffrey C. Carver, James C. Phillips, Anshu Dubey, Sandra Gesing, Matthew J. Turk, Hui Wan, Hubertus Van Dam, James Howison, Vitali A. Morozov, Steven R. Brandt

CoRR, 2019

Toward Enabling Reproducibility for Data-Intensive Research Using the Whole Tale Platform.

Kyle Chard, Niall Gaffney, Mihael Hategan, Kacper Kowalik, Bertram Ludäscher, Timothy M. McPhillips, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Thomas Thelen, Matthew J. Turk, Craig Willis

Proceedings of the Parallel Computing: Technology Trends, 2019

Implementing Computational Reproducibility in the Whole Tale Environment.

Kyle Chard, Niall Gaffney, Matthew B. Jones, Kacper Kowalik, Bertram Ludäscher, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor, Matthew J. Turk, Craig Willis

Proceedings of the 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems, 2019

Application of BagIt-Serialized Research Object Bundles for Packaging and Re-Execution of Computational Analyses.

Kyle Chard, Thomas Thelen, Matthew J. Turk, Craig Willis, Niall Gaffney, Matthew B. Jones, Kacper Kowalik, Bertram Ludäscher, Timothy M. McPhillips, Jarek Nabrzyski, Victoria Stodden, Ian J. Taylor

Proceedings of the 15th International Conference on eScience, 2019

2018

unyt: Handle, manipulate, and convert data with units in Python.

Nathan J. Goldbaum, John ZuHone, Matthew J. Turk, Kacper Kowalik, Anna L. Rosen

J. Open Source Softw., 2018

The principles of tomorrow's university.

Daniel S. Katz, Gabrielle Allen, Lorena A. Barba, Devin R. Berg, Holly Bik, Carl Boettiger, Christine L. Borgman, C. Titus Brown, Stuart Buck, Randy Burd, Anita de Waard, Martin Paul Eve, Brian E. Granger, Josh Greenberg, Adina Howe, Bill Howe, May Khanna, Timothy L. Killeen, Matthew S. Mayernik, Erin C. McKiernan, Chris Mentzel, Nirav C. Merchant, Kyle E. Niemeyer, Laura Norén, Sarah M. Nusser, Daniel A. Reed, Edward Seidel, MacKenzie Smith, Jeffrey R. Spies, Matthew J. Turk, John D. Van Horn, Jay Walsh

F1000Research, 2018

2017

Engineering Academic Software (Dagstuhl Perspectives Workshop 16252).

Alice Allen, Cecilia R. Aragon, Christoph Becker, Jeffrey C. Carver, Andrei Chis, Benoît Combemale, Mike Croucher, Kevin Crowston, Daniel Garijo, Ashish Gehani, Carole A. Goble, Robert Haines, Robert Hirschfeld, James Howison, Kathryn D. Huff, Caroline Jay, Daniel S. Katz, Claude Kirchner, Katie Kuksenok, Ralf Lämmel, Oscar Nierstrasz, Matthew J. Turk, Rob van Nieuwpoort, Matthew Vaughn, Jurgen J. Vinju

Dagstuhl Manifestos, 2017

2016

Capturing the "Whole Tale" of Computational Research: Reproducibility in Computing Environments.

Bertram Ludäscher, Kyle Chard, Niall Gaffney, Matthew B. Jones, Jaroslaw Nabrzyski, Victoria Stodden, Matthew J. Turk

CoRR, 2016

Data-Intensive Supercomputing in the Cloud: Global Analytics for Satellite Imagery.

Michael S. Warren, Samuel W. Skillman, Rick Chartrand, Tim Kelton, Ryan Keisler, David Raleigh, Matthew J. Turk

Proceedings of the Seventh International Workshop on Data-Intensive Computing in the Clouds, 2016

2014

Summary of the First Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE1).

Daniel S. Katz, Sou-Cheng T. Choi, Hilmar Lapp, Ketan Maheshwari, Frank Löffler, Matthew J. Turk, Marcus D. Hanwell, Nancy Wilkins-Diehr, James Hetherington, James Howison, Shel Swenson, Gabrielle Allen, Anne C. Elster, G. Bruce Berriman, Colin C. Venters

CoRR, 2014

Second Workshop on on Sustainable Software for Science: Practice and Experiences (WSSSPE2): Submission, Peer-Review and Sorting Process, and Results.

Daniel S. Katz, Gabrielle Allen, Neil P. Chue Hong, Karen Cranston, Manish Parashar, David Proctor, Matthew J. Turk, Colin C. Venters, Nancy Wilkins-Diehr

CoRR, 2014

2013

How to Scale a Code in the Human Dimension

Matthew J. Turk

CoRR, 2013

Scaling a code in the human dimension.

Matthew J. Turk

Proceedings of the Extreme Science and Engineering Discovery Environment: Gateway to Discovery, 2013

Seismic Sound Lab: Sights, Sounds and Perception of the Earth as an Acoustic Space.

Benjamin K. Holtzman, Jason Candler, Matthew J. Turk, Daniel Peter

Proceedings of the Sound, Music, and Motion - 10th International Symposium, 2013