Daniel S. Katz

According to our database, Daniel S. Katz authored at least 209 papers between 1992 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of two.

2024

FAIR-USE4OS: Guidelines for creating impactful open-source software.

Raphael Sonabend, Hugo Gruson, Leo Wolansky, Agnes Kiragga, Daniel S. Katz

PLoS Comput. Biol., 2024

Special issue on software citation, indexing, and discoverability.

Daniel S. Katz, Neil P. Chue Hong

PeerJ Comput. Sci., 2024

Research Software Engineering: Bridging Knowledge Gaps (Dagstuhl Seminar 24161).

Stephan Druskat, Lars Grunske, Caroline Jay, Daniel S. Katz

Dagstuhl Reports, 2024

Thoughts on Learning Human and Programming Languages.

Daniel S. Katz, Jeffrey C. Carver

Comput. Sci. Eng., 2024

Training Next Generation AI Users and Developers at NCSA.

Daniel S. Katz, Volodymyr V. Kindratenko, Olena Kindratenko, Priyam Mazumdar

CoRR, 2024

Cycling on the Freeway: The Perilous State of Open Source Neuroscience Software.

Britta U. Westner, Daniel R. McCloy, Eric Larson, Alexandre Gramfort, Daniel S. Katz, Arfon M. Smith, invited co-signees

CoRR, 2024

FAIR-USE4OS: From open source to Open Source.

Raphael Sonabend, Hugo Gruson, Leo Wolansky, Agnes Kiragga, Daniel S. Katz

CoRR, 2024

Enabling Remote Management of FaaS Endpoints with Globus Compute Multi-User Endpoints.

Rachana Ananthakrishnan, Yadu N. Babuji, Matt Baughman, Josh Bryan, Kyle Chard, Ryan Chard, Ben Clifford, Ian T. Foster, Daniel S. Katz, Kevin Hunter Kesling, Chris Janidlo, Reid Mello, Lei Wang

Proceedings of the Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 2024

A benchmark suite and performance analysis of user-space provenance collectors.

Samuel Grayson, Faustino Aguilar, Reed Milewicz, Daniel S. Katz, Darko Marinov

Proceedings of the 2nd ACM Conference on Reproducibility and Replicability, 2024

2023

FAIR AI models in high energy physics.

Javier M. Duarte, Haoyang Li, Avik Roy, Ruike Zhu, Eliu A. Huerta, Daniel Diaz, Philip C. Harris, Raghav Kansal, Daniel S. Katz, Ishaan H. Kavoori, Volodymyr V. Kindratenko, Farouk Mokhtar, Mark S. Neubauer, Sang Eon Park, Melissa Quinnan, Roger Rusack, Zhizhen Zhao

Mach. Learn. Sci. Technol., December, 2023

Global Impact Modelling Software is Unsustainable (Dataset and analysis script).

Emmanuel Nyenah, Petra Döll, Daniel S. Katz, Robert Reinecke

Dataset, December, 2023

LiberTEM/LiberTEM: 0.13.1.

Alexander Clausen, Dieter Weber, Matthew Bryan, Karina Ruzaeva, Vadim Migunov, Anand Baburajan, Abijith Bahuleyan, Jan Caron, Rahul Chandra, Shankhadeep Dey, Sayandip Halder, Daniel S. Katz, Barnaby D. A. Levin, Magnus Nord, Colin Ophus, Simon Peter, Levente Puskás, Jay Schyndel van, Jaeweon Shin, Sai Sunku, Håkon W. Ånes, Knut Müller-Caspary, Rafal E. Dunin-Borkowski

Dataset, November, 2023

LiberTEM/LiberTEM: 0.13.0.

Alexander Clausen, Dieter Weber, Matthew Bryan, Karina Ruzaeva, Vadim Migunov, Anand Baburajan, Abijith Bahuleyan, Jan Caron, Rahul Chandra, Shankhadeep Dey, Sayandip Halder, Daniel S. Katz, Barnaby D. A. Levin, Magnus Nord, Colin Ophus, Simon Peter, Levente Puskás, Jay Schyndel van, Jaeweon Shin, Sai Sunku, Håkon W. Ånes, Knut Müller-Caspary, Rafal E. Dunin-Borkowski

Dataset, November, 2023

LiberTEM/LiberTEM: 0.12.0.

Alexander Clausen, Dieter Weber, Matthew Bryan, Karina Ruzaeva, Vadim Migunov, Anand Baburajan, Abijith Bahuleyan, Jan Caron, Rahul Chandra, Shankhadeep Dey, Sayandip Halder, Daniel S. Katz, Barnaby D. A. Levin, Magnus Nord, Colin Ophus, Simon Peter, Levente Puskás, Jay Schyndel van, Jaeweon Shin, Sai Sunku, Håkon W. Ånes, Knut Müller-Caspary, Rafal E. Dunin-Borkowski

Dataset, August, 2023

LiberTEM/LiberTEM: 0.11.2.

Alexander Clausen, Dieter Weber, Matthew Bryan, Karina Ruzaeva, Vadim Migunov, Anand Baburajan, Abijith Bahuleyan, Jan Caron, Rahul Chandra, Shankhadeep Dey, Sayandip Halder, Daniel S. Katz, Barnaby D. A. Levin, Magnus Nord, Colin Ophus, Simon Peter, Levente Puskás, Jay Schyndel van, Jaeweon Shin, Sai Sunku, Knut Müller-Caspary, Rafal E. Dunin-Borkowski, Håkon W. Ånes

Dataset, July, 2023

Workflow Registry Tester.

Samuel Grayson, Darko Marinov, Daniel S. Katz, Reed Milewicz

Dataset, June, 2023

LiberTEM/LiberTEM: 0.11.1.

Alexander Clausen, Dieter Weber, Matthew Bryan, Karina Ruzaeva, Vadim Migunov, Anand Baburajan, Abijith Bahuleyan, Jan Caron, Rahul Chandra, Shankhadeep Dey, Sayandip Halder, Daniel S. Katz, Barnaby D. A. Levin, Magnus Nord, Colin Ophus, Simon Peter, Levente Puskás, Jay Schyndel van, Jaeweon Shin, Sai Sunku, Knut Müller-Caspary, Rafal E. Dunin-Borkowski, Håkon W. Ånes

Dataset, May, 2023

LiberTEM/LiberTEM: 0.11.0.

Alexander Clausen, Dieter Weber, Matthew Bryan, Karina Ruzaeva, Vadim Migunov, Anand Baburajan, Abijith Bahuleyan, Jan Caron, Rahul Chandra, Shankhadeep Dey, Sayandip Halder, Daniel S. Katz, Barnaby D. A. Levin, Magnus Nord, Colin Ophus, Simon Peter, Levente Puskás, Jay Schyndel van, Jaeweon Shin, Sai Sunku, Knut Müller-Caspary, Rafal E. Dunin-Borkowski, Håkon W. Ånes

Dataset, April, 2023

Training Next-Generation Artificial Intelligence Users and Developers at NCSA.

Daniel S. Katz, Volodymyr V. Kindratenko, Olena Kindratenko, Priyam Mazumdar

Comput. Sci. Eng., 2023

Leveraging Large Language Models to Build and Execute Computational Workflows.

Alejandro Duque, Abdullah Syed, Kastan V. Day, Matthew J. Berry, Daniel S. Katz, Volodymyr V. Kindratenko

CoRR, 2023

Transitioning ECP Software Technology into a Foundation for Sustainable Research Software.

Gregory R. Watson, Addi Malviya-Thakur, Daniel S. Katz, Elaine M. Raybourn, Bill Hoffman, Dana Robinson, John Kellerman, Clark Roundy

CoRR, 2023

An Open Community-Driven Model For Sustainable Research Software: Sustainable Research Software Institute.

Gregory R. Watson, Addi Malviya-Thakur, Daniel S. Katz, Elaine M. Raybourn, Bill Hoffman, Dana Robinson, John Kellerman, Clark Roundy

CoRR, 2023

Wanted: standards for automatic reproducibility of computational experiments.

Samuel Grayson, Reed Milewicz, Joshua B. Teves, Daniel S. Katz, Darko Marinov

CoRR, 2023

The Changing Role of RSEs over the Lifetime of Parsl.

Daniel S. Katz, Ben Clifford, Yadu N. Babuji, Kevin Hunter Kesling, Anna Woodard, Kyle Chard

CoRR, 2023

Workflows Community Summit 2022: A Roadmap Revolution.

Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala, Debbie Bard, Peer-Timo Bremer, Ian Buckley, Silvina Caíno-Lores, Kyle Chard, Carole A. Goble, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Manish Parashar, Frédéric Suter, Nick Tyler, Thomas D. Uram, Ilkay Altintas, Stefan Andersson, William Arndt, Juan Aznar, Jonathan Bader, Bartosz Balis, Chris Blanton, Kelly Rosa Braghetto, Aharon Brodutch, Paul Brunk, Henri Casanova, Alba Cervera-Lierta, Justin Chigu, Tainã Coleman, Nick Collier, Iacopo Colonnelli, Frederik Coppens, Michael R. Crusoe, Will Cunningham, Bruno de Paula Kinoshita, Paolo Di Tommaso, Charles M. Doutriaux, Matthew Downton, Wael R. Elwasif, Bjoern Enders, Chris Erdmann, Thomas Fahringer, Ludmilla Figueiredo, Rosa Filgueira, Martin Foltin, Anne Fouilloux, Luiz Gadelha, Andy Gallo, Artur García-Sáez, et al.

CoRR, 2023

Fine-grained Policy-driven I/O Sharing for Burst Buffers.

Ed Karrels, Lei Huang, Yuhong Kan, Ishank Arora, Yinzhi Wang, Daniel S. Katz, William Gropp, Zhao Zhang

Proceedings of the International Conference for High Performance Computing, 2023

Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments.

Jonathan Bader, Jim Belak, Matthew T. Bement, Matthew Berry, Robert Carson, Daniela Cassol, Stephen Chan, John Coleman, Kastan Day, Alejandro Duque, Kjiersten Fagnan, Jeff Froula, Shantenu Jha, Daniel S. Katz, Piotr Kica, Volodymyr V. Kindratenko, Edward Kirton, Ramani Kothadia, Daniel E. Laney, Fabian Lehmann, Ulf Leser, Sabina Licholai, Maciej Malawski, Mario Melara, Elais Player Jackson, Matthew Rolchigo, Setareh Sarrafan, Seung-Jin Sul, Abdullah Syed, Lauritz Thamsen, Mikhail Titov, Matteo Turilli, Silvina Caíno-Lores, Anirban Mandal

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Research Software Engineering in 2030.

Daniel S. Katz, Simon Hettrick

Proceedings of the 19th IEEE International Conference on e-Science, 2023

Automatic Reproduction of Workflows in the Snakemake Workflow Catalog and nf-core Registries.

Samuel Grayson, Darko Marinov, Daniel S. Katz, Reed Milewicz

Proceedings of the 2023 ACM Conference on Reproducibility and Replicability, 2023

2022

LiberTEM/LiberTEM: 0.10.0.

Alexander Clausen, Dieter Weber, Matthew Bryan, Karina Ruzaeva, Vadim Migunov, Anand Baburajan, Abijith Bahuleyan, Jan Caron, Rahul Chandra, Shankhadeep Dey, Sayandip Halder, Daniel S. Katz, Barnaby D. A. Levin, Magnus Nord, Colin Ophus, Simon Peter, Levente Puskás, Jay Schyndel van, Jaeweon Shin, Sai Sunku, Knut Müller-Caspary, Rafal E. Dunin-Borkowski

Dataset, July, 2022

LiberTEM/LiberTEM: 0.9.2.

Alexander Clausen, Dieter Weber, Matthew Bryan, Karina Ruzaeva, Vadim Migunov, Anand Baburajan, Abijith Bahuleyan, Jan Caron, Rahul Chandra, Shankhadeep Dey, Sayandip Halder, Daniel S. Katz, Barnaby D. A. Levin, Magnus Nord, Colin Ophus, Simon Peter, Levente Puskás, Jay Schyndel van, Jaeweon Shin, Sai Sunku, Knut Müller-Caspary, Rafal E. Dunin-Borkowski

Dataset, April, 2022

LiberTEM/LiberTEM: 0.9.0.

Alexander Clausen, Dieter Weber, Matthew Bryan, Karina Ruzaeva, Vadim Migunov, Anand Baburajan, Abijith Bahuleyan, Jan Caron, Rahul Chandra, Shankhadeep Dey, Sayandip Halder, Daniel S. Katz, Barnaby D. A. Levin, Magnus Nord, Colin Ophus, Simon Peter, Levente Puskás, Jay Schyndel van, Jaeweon Shin, Sai Sunku, Knut Müller-Caspary, Rafal E. Dunin-Borkowski

Dataset, February, 2022

$f$funcX: Federated Function as a Service for Science.

Zhuozhao Li, Ryan Chard, Yadu N. Babuji, Ben Galewsky, Tyler J. Skluzacek, Kirill Nagaitsev, Anna Woodard, Ben Blaiszik, Josh Bryan, Daniel S. Katz, Ian T. Foster, Kyle Chard

IEEE Trans. Parallel Distributed Syst., 2022

A survey of the state of the practice for research software in the United States.

Jeffrey C. Carver, Nic Weber, Karthik Ram, Sandra Gesing, Daniel S. Katz

PeerJ Comput. Sci., 2022

Giving Research Software Engineers a Larger Stage Through the Better Scientific Software Fellowship.

William F. Godoy, Ritu Arora, Keith Beattie, David E. Bernholdt, Sarah E. Bratt, Daniel S. Katz, Ignacio Laguna, Amiya K. Maji, Addi Malviya-Thakur, Rafael M. Mudafort, Nitin Sukhija, Damian W. I. Rouson, Cindy Rubio-González, Karan Vahi

Comput. Sci. Eng., 2022

Overcoming Challenges to Continuous Integration in HPC.

Todd Gamblin, Daniel S. Katz

Comput. Sci. Eng., 2022

Research Software Engineers: Career Entry Points and Training Gaps.

Ian A. Cosden, Kenton McHenry, Daniel S. Katz

Comput. Sci. Eng., 2022

Giving RSEs a Larger Stage through the Better Scientific Software Fellowship.

William F. Godoy, Ritu Arora, Keith Beattie, David E. Bernholdt, Sarah E. Bratt, Daniel S. Katz, Ignacio Laguna, Amiya K. Maji, Addi Malviya-Thakur, Rafael M. Mudafort, Nitin Sukhija, Damian W. I. Rouson, Cindy Rubio-González, Karan Vahi

CoRR, 2022

FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective.

Eliu A. Huerta, Ben Blaiszik, L. Catherine Brinson, Kristofer E. Bouchard, Daniel Diaz, Caterina Doglioni, Javier M. Duarte, Murali Emani, Ian T. Foster, Geoffrey C. Fox, Philip C. Harris, Lukas Heinrich, Shantenu Jha, Daniel S. Katz, Volodymyr V. Kindratenko, Christine R. Kirkpatrick, Kati Lassila-Perini, Ravi K. Madduri, Mark S. Neubauer, Fotis E. Psomopoulos, Avik Roy, Oliver Rübel, Zhizhen Zhao, Ruike Zhu

CoRR, 2022

funcX: Federated Function as a Service for Science.

Zhuozhao Li, Ryan Chard, Yadu N. Babuji, Ben Galewsky, Tyler J. Skluzacek, Kirill Nagaitsev, Anna Woodard, Ben Blaiszik, Josh Bryan, Daniel S. Katz, Ian T. Foster, Kyle Chard

CoRR, 2022

Extended Abstract: Productive Parallel Programming with Parsl.

Kyle Chard, Yadu N. Babuji, Anna Woodard, Ben Clifford, Zhuozhao Li, Mihael Hategan, Ian T. Foster, Mike Wilde, Daniel S. Katz

CoRR, 2022

2021

LiberTEM/LiberTEM: 0.8.0.

Alexander Clausen, Dieter Weber, Karina Ruzaeva, Vadim Migunov, Anand Baburajan, Abijith Bahuleyan, Matthew Bryan, Jan Caron, Rahul Chandra, Shankhadeep Dey, Sayandip Halder, Daniel S. Katz, Barnaby D. A. Levin, Magnus Nord, Colin Ophus, Simon Peter, Levente Puskás, Jay Schyndel van, Jaeweon Shin, Sai Sunku, Knut Müller-Caspary, Rafal E. Dunin-Borkowski

Dataset, October, 2021

URSSI Community Survey 2018 Raw Data.

Jeff Carver, Sandra Gesing, Daniel S. Katz, Karthik Ram, Nicholas Weber

Dataset, September, 2021

LiberTEM/LiberTEM: 0.7.1.

Alexander Clausen, Dieter Weber, Karina Ruzaeva, Vadim Migunov, Anand Baburajan, Abijith Bahuleyan, Jan Caron, Rahul Chandra, Shankhadeep Dey, Sayandip Halder, Daniel S. Katz, Barnaby D. A. Levin, Magnus Nord, Colin Ophus, Simon Peter, Jay Schyndel van, Jaeweon Shin, Sai Sunku, Knut Müller-Caspary, Rafal E. Dunin-Borkowski

Dataset, July, 2021

LiberTEM/LiberTEM: 0.7.0.

Alexander Clausen, Dieter Weber, Karina Ruzaeva, Vadim Migunov, Anand Baburajan, Abijith Bahuleyan, Jan Caron, Rahul Chandra, Shankhadeep Dey, Sayandip Halder, Daniel S. Katz, Barnaby D. A. Levin, Magnus Nord, Colin Ophus, Simon Peter, Jay Schyndel van, Jaeweon Shin, Sai Sunku, Knut Müller-Caspary, Rafal E. Dunin-Borkowski

Dataset, June, 2021

LiberTEM/LiberTEM: 0.6.0.

Alexander Clausen, Dieter Weber, Karina Ruzaeva, Vadim Migunov, Anand Baburajan, Abijith Bahuleyan, Jan Caron, Rahul Chandra, Shankhadeep Dey, Sayandip Halder, Daniel S. Katz, Barnaby D. A. Levin, Magnus Nord, Colin Ophus, Simon Peter, Jay Schyndel van, Jaeweon Shin, Sai Sunku, Knut Müller-Caspary, Rafal E. Dunin-Borkowski

Dataset, February, 2021

The Four Pillars of Research Software Engineering.

Jeremy Cohen, Daniel S. Katz, Michelle Barker, Neil P. Chue Hong, Robert Haines, Caroline Jay

IEEE Softw., 2021

Taking a fresh look at FAIR for research software.

Daniel S. Katz, Morane Gruenpeter, Tom Honeyman

Patterns, 2021

Software citation.

Daniel S. Katz, Shelley Stall

Inf. Serv. Use, 2021

Software Must be Recognised as an Important Output of Scholarly Research.

Caroline Jay, Robert Haines, Daniel S. Katz

Int. J. Digit. Curation, 2021

Understanding the multifaceted geospatial software ecosystem: a survey approach.

Rebecca Vandewalle, William C. Barley, Anand Padmanabhan, Daniel S. Katz, Shaowen Wang

Int. J. Geogr. Inf. Sci., 2021

Software Training in HEP.

Sudhir Malik, Samuel Meehan, Kilian Lieret, Meirin Oan Evans, Michel Hernández Villanueva, Daniel S. Katz, Graeme A. Stewart, Peter Elmer, Sizar Aziz, Matthew Bellis, Riccardo Maria Bianchi, Gianluca Bianco, Johan Sebastian Bonilla, Angela Burger, Jackson Burzynski, David Chamont, Matthew Feickert, Philipp Gadow, Bernhard Manfred Gruber, Daniel Guest, Stephan Hageboeck, Lukas Heinrich, Maximilian M. Horzela, Marc Huwiler, Clemens Lange, Konstantin Lehmann, Ke Li, Devdatta Majumder, Judita Mamuzic, Kevin Nelson, Robin Newhouse, Emery Nibigira, Scarlet Norberg, Arturo Sánchez Pineda, Mason Proffitt, Brendan Regnery, Amber Roepe, Stefan Roiser, Henry Schreiner, Oksana Shadura, Giordon Stark, Stephen Nicholas Swatman, Savannah Thais, Andrea Valassi, Stefan Wunsch, David Yakobovitch, Siqi Yuan

Comput. Softw. Big Sci., 2021

A FAIR and AI-ready Higgs Boson Decay Dataset.

Yifan Chen, Eliu A. Huerta, Javier M. Duarte, Philip C. Harris, Daniel S. Katz, Mark S. Neubauer, Daniel Diaz, Farouk Mokhtar, Raghav Kansal, Sang Eon Park, Volodymyr V. Kindratenko, Zhizhen Zhao, Roger Rusack

CoRR, 2021

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development.

Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Tainã Coleman, Dan Laney, Dong H. Ahn, Shantenu Jha, Dorran Howell, Stian Soiland-Reyes, Ilkay Altintas, Douglas Thain, Rosa Filgueira, Yadu N. Babuji, Rosa M. Badia, Bartosz Balis, Silvina Caíno-Lores, Scott Callaghan, Frederik Coppens, Michael R. Crusoe, Kaushik De, Frank Di Natale, Tu Mai Anh Do, Bjoern Enders, Thomas Fahringer, Anne Fouilloux, Grigori Fursin, Alban Gaignard, Alex Ganose, Daniel Garijo, Sandra Gesing, Carole A. Goble, Adil Hasan, Sebastiaan Huber, Daniel S. Katz, Ulf Leser, Douglas Lowe, Bertram Ludäscher, Ketan Maheshwari, Maciej Malawski, Rajiv Mayani, Kshitij Mehta, André Merzky, Todd S. Munson, Jonathan Ozik, Loïc Pottier, Sashko Ristov, Mehdi Roozmeh, Renan Souza, Frédéric Suter, Benjamín Tovar, Matteo Turilli, Karan Vahi, Alvaro Vidal-Torreira, Wendy R. Whitcup, Michael Wilde, Alan R. Williams, Matthew Wolf, Justin M. Wozniak

CoRR, 2021

Workflows Community Summit: Bringing the Scientific Workflows Community Together.

Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Dan Laney, Dong H. Ahn, Shantenu Jha, Carole A. Goble, Lavanya Ramakrishnan, J. Luc Peterson, Bjoern Enders, Douglas Thain, Ilkay Altintas, Yadu N. Babuji, Rosa M. Badia, Vivien Bonazzi, Tainã Coleman, Michael R. Crusoe, Ewa Deelman, Frank Di Natale, Paolo Di Tommaso, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Alex Ganose, Björn A. Grüning, Daniel S. Katz, Olga A. Kuchar, Ana Kupresanin, Bertram Ludäscher, Ketan Maheshwari, Marta Mattoso, Kshitij Mehta, Todd S. Munson, Jonathan Ozik, Tom Peterka, Loic Pottier, Tim Randles, Stian Soiland-Reyes, Benjamín Tovar, Matteo Turilli, Thomas D. Uram, Karan Vahi, Michael Wilde, Matthew Wolf, Justin M. Wozniak

CoRR, 2021

A Fresh Look at FAIR for Research Software.

Daniel S. Katz, Morane Gruenpeter, Tom Honeyman, Lorraine J. Hwang, Mark D. Wilkinson, Vanessa V. Sochat, Hartwig Anzt, Carole A. Goble

CoRR, 2021

A Community Roadmap for Scientific Workflows Research and Development.

Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M. Badia, Bartosz Balis, Tainã Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole A. Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel E. Laney, Ulf Leser, Maciej Malawski, Kshitij Mehta, Loïc Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya Ramakrishnan, Stian Soiland-Reyes, Douglas Thain, Matthew Wolf

Proceedings of the 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 2021

Addressing Research Software Sustainability via Institutes.

Daniel S. Katz, Jeffrey C. Carver, Neil P. Chue Hong, Sandra Gesing, Simon Hettrick, Tom Honeyman, Karthik Ram, Nicholas M. Weber

Proceedings of the 1st IEEE/ACM International Workshop on Body of Knowledge for Software Sustainability, 2021

Research Software Sustainability and Citation.

Stephan Druskat, Daniel S. Katz, Ilian T. Todorov

Proceedings of the 1st IEEE/ACM International Workshop on Body of Knowledge for Software Sustainability, 2021

Sustaining Research Software via Research Software Engineers and Professional Associations.

Jeffrey C. Carver, Ian A. Cosden, Chris Hill, Sandra Gesing, Daniel S. Katz

Proceedings of the 1st IEEE/ACM International Workshop on Body of Knowledge for Software Sustainability, 2021

Research Software Sustainability: Lessons Learned at NCSA.

Daniel S. Katz, Kenton McHenry, Jong S. Lee

Proceedings of the 54th Hawaii International Conference on System Sciences, 2021

Extreme Scale Survey Simulation with Python Workflows.

Antonio Villarreal, Yadu N. Babuji, Thomas D. Uram, Daniel S. Katz, Kyle Chard, Katrin Heitmann

Proceedings of the 17th IEEE International Conference on eScience, 2021

Federated Function as a Service for eScience.

Yadu N. Babuji, Josh Bryan, Ryan Chard, Kyle Chard, Ian T. Foster, Ben Galewsky, Daniel S. Katz, Zhuozhao Li

Proceedings of the 17th IEEE International Conference on eScience, 2021

Working Towards Understanding the Role of FAIR for Machine Learning.

Daniel S. Katz, Fotis E. Psomopoulos, Leyla Jael Castro

Proceedings of the DaMaLOS, 2021

2020

The Research Software Alliance (ReSA) and the community landscape.

Daniel S. Katz, Michelle Barker, Paula Andrea Martínez, Hartwig Anzt, Alejandra N. González-Beltrán, Tom Bakker

Dataset, March, 2020

Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure.

Eliu A. Huerta, Asad Khan, Edward Davis, Colleen Bushell, William D. Gropp, Daniel S. Katz, Volodymyr V. Kindratenko, Seid Koric, William T. C. Kramer, Brendan McGinty, Kenton McHenry, Aaron Saxton

J. Big Data, 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

Software and Data Citation.

Daniel S. Katz, Neil P. Chue Hong, Tim Clark, Martin Fenner, Maryann E. Martone

Comput. Sci. Eng., 2020

Nine Best Practices for Research Software Registries and Repositories: A Concise Guide.

Alain Monteil, Alejandra N. González-Beltrán, Alexandros Ioannidis, Alice Allen, Allen Lee, Anita E. Bandrowski, Bruce E. Wilson, Bryce D. Mecum, Caifan Du, Carly Robinson, Daniel Garijo, Daniel S. Katz, David Long, Genevieve Milliken, Hervé Ménager, Jessica Hausman, Jurriaan H. Spaaks, Katrina Fenlon, Kristin Vanderbilt, Lorraine J. Hwang, Lynn Davis, Martin Fenner, Michael R. Crusoe, Michael Hucka, Mingfang Wu, Neil P. Chue Hong, Peter J. Teuben, Shelley Stall, Stephan Druskat, Ted Carnevale, Thomas Morrell

CoRR, 2020

Confluence of Artificial Intelligence and High Performance Computing for Accelerated, Scalable and Reproducible Gravitational Wave Detection.

Eliu A. Huerta, Asad Khan, Xiaobo Huang, Minyang Tian, Maksim Levental, Ryan Chard, Wei Wei, Maeve Heflin, Daniel S. Katz, Volodymyr V. Kindratenko, Dawei Mu, Ben Blaiszik, Ian T. Foster

CoRR, 2020

Software Sustainability & High Energy Physics.

Daniel S. Katz, Sudhir Malik, Mark S. Neubauer, Graeme Andrew Stewart, Kétévi A. Assamagan, Erin A. Becker, Neil P. Chue Hong, Ian A. Cosden, Samuel Meehan, Edward J. W. Moyse, Adrian M. Price-Whelan, Elizabeth Sexton-Kennedy, Meirin Oan Evans, Matthew Feickert, Clemens Lange, Kilian Lieret, Rob Quick, Arturo Sánchez Pineda, Christopher D. Tunnell

CoRR, 2020

Toward Interoperable Cyberinfrastructure: Common Descriptions for Computational Resources and Applications.

Joe Stubbs, Suresh Marru, Daniel Mejia, Daniel S. Katz, Kyle Chard, Maytal Dahan, Marlon E. Pierce, Michael G. Zentner

Proceedings of the PEARC '20: Practice and Experience in Advanced Research Computing, 2020

Research software engineers community workshop.

Christina Maimone, Ian A. Cosden, Charles R. Ferenbaugh, Daniel S. Katz, Chris Hill, Kenton McHenry, Kaspar Mueller

Proceedings of the PEARC Companion '20: Practice and Experience in Advanced Research Computing, 2020

Software as a first-class citizen in research.

Leyla J. García, Michelle Barker, Neil P. Chue Hong, Fotis E. Psomopoulos, Jennifer L. Harrow, Daniel S. Katz, Mateusz Kuzak, Paula Andrea Martínez, Allegra Via

Proceedings of the DaMaLOS, 2020

2019

Supporting High-Performance and High-Throughput Computing for Experimental Science.

Eliu A. Huerta, Roland Haas, Shantenu Jha, Mark S. Neubauer, Daniel S. Katz

Comput. Softw. Big Sci., December, 2019

softwaresaved/international-survey: Public release for 2018 results.

Olivier Philippe, Martin Hammitzsch, Stephan Janosch, Anelda van der Walt, Ben van Werkhoven, Simon Hettrick, Daniel S. Katz, Katrin Leinweber, Sandra Gesing, Stephan Druskat, Scott Henwood, Nicholas R. May, Nooriyah P. Lohani, Manodeep Sinha

Dataset, March, 2019

Enforcing public data archiving policies in academic publishing: A study of ecology journals.

Dan Sholler, Karthik Ram, Carl Boettiger, Daniel S. Katz

Big Data Soc., January, 2019

The global impact of science gateways, virtual research environments and virtual laboratories.

Michelle Barker, Sílvia Delgado Olabarriaga, Nancy Wilkins-Diehr, Sandra Gesing, Daniel S. Katz, Shayan Shahand, Scott Henwood, Tristan Glatard, Keith G. Jeffery, Brian Corrie, Andrew E. Treloar, Helen M. Glaves, Lesley Wyborn, Neil P. Chue Hong, Alessandro Costa

Future Gener. Comput. Syst., 2019

Introduction to Accelerating Scientific Discovery With Reusable Software.

Scott A. Lathrop, Mike Folk, Daniel S. Katz, Lois Curfman McInnes, Andy Terrel

Comput. Sci. Eng., 2019

Community Organizations: Changing the Culture in Which Research Software Is Developed and Sustained.

Daniel S. Katz, Lois Curfman McInnes, David E. Bernholdt, Abigail Cabunoc Mayes, Neil P. Chue Hong, Jonah Duckles, Sandra Gesing, Michael A. Heroux, Simon Hettrick, Rafael C. Jiménez, Marlon E. Pierce, Belinda Weaver, Nancy Wilkins-Diehr

Comput. Sci. Eng., 2019

Enabling real-time multi-messenger astrophysics discoveries with deep learning.

Eliu A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Robert A. Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Márka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark S. Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipocz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

CoRR, 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

Software Citation Implementation Challenges.

Daniel S. Katz, Daina Bouquin, Neil P. Chue Hong, Jessica Hausman, Catherine Mary Jones, Daniel Chivvis, Tim Clark, Mercè Crosas, Stephan Druskat, Martin Fenner, Tom Gillespie, Alejandra N. González-Beltrán, Morane Gruenpeter, Ted Habermann, Robert Haines, Melissa Harrison, Edwin A. Henneken, Lorraine J. Hwang, Matthew B. Jones, Alastair A. Kelly, David N. Kennedy, Katrin Leinweber, Fernando Rios, Carly Robinson, Ilian T. Todorov, Mingfang Wu, Qian Zhang

CoRR, 2019

Sustaining Research Software: an SC18 Panel.

Daniel S. Katz, Patrick Aerts, Neil P. Chue Hong, Anshu Dubey, Sandra Gesing, Henry Neeman, David E. Pearah

CoRR, 2019

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era.

Gabrielle Allen, Igor Andreoni, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Anushri Gupta, Roland Haas, Eliu A. Huerta, Elise Jennings, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Kenton McHenry, J. M. Miller, Mark S. Neubauer, Steve Oberlin, Alexander Reinefeld, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Brigitta Miksztai-Réthey, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

CoRR, 2019

Scalable Parallel Programming in Python with Parsl.

Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Ian T. Foster, Michael Wilde, Kyle Chard

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Citation and Research Objects: Toward Active Research Objects.

Daniel S. Katz

Proceedings of Workshop on Research Objects (RO2019), 2019

Research software development & management in universities: case studies from Manchester's RSDS group, Illinois' NCSA, and Notre Dame's CRC.

Daniel S. Katz, Kenton McHenry, Caleb Reinking, Robert Haines

Proceedings of the 14th International Workshop on Software Engineering for Science, 2019

Parsl: Pervasive Parallel Programming in Python.

Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Rohan Kumar, Lukasz Lacinski, Ryan Chard, Justin M. Wozniak, Ian T. Foster, Michael Wilde, Kyle Chard

Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019

Quantifying the Impact of Memory Errors in Deep Learning.

Zhao Zhang, Lei Huang, Ruizhu Huang, Weijia Xu, Daniel S. Katz

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

2018

research-software/resosuma-data: 0.4.1.

Stephan Druskat, Neil P. Chue Hong, Daniel S. Katz

Dataset, October, 2018

research-software/resosuma-data: 0.4.0.

Stephan Druskat, Daniel S. Katz, Neil P. Chue Hong

Dataset, September, 2018

research-software/resosuma-data: 0.3.0.

Stephan Druskat, Daniel S. Katz

Dataset, July, 2018

softwaresaved/international-survey: Public release for 2017 results.

Olivier Philippe, Martin Hammitzsch, Stephan Janosch, Anelda van der Walt, Ben van Werkhoven, Simon Hettrick, Daniel S. Katz, Katrin Leinweber, Sandra Gesing, Stephan Druskat, Scott Henwood

Dataset, March, 2018

Journal of Open Source Software (JOSS): design and first-year review.

Arfon M. Smith, Kyle E. Niemeyer, Daniel S. Katz, Lorena A. Barba, George Githinji, Melissa Gymrek, Kathryn D. Huff, Christopher R. Madan, Abigail Cabunoc Mayes, Kevin M. Moerman, Pjotr Prins, Karthik Ram, Ariel Rokem, Tracy K. Teal, Roman Valls Guimera, Jacob VanderPlas

PeerJ Comput. Sci., 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

Publish Your Software: Introducing the Journal of Open Source Software (JOSS).

Daniel S. Katz, Kyle E. Niemeyer, Arfon M. Smith

Comput. Sci. Eng., 2018

Conceptualization of a US Research Software Sustainability Institute (URSSI).

Jeffrey C. Carver, Sandra Gesing, Daniel S. Katz, Karthik Ram, Nic Weber

Comput. Sci. Eng., 2018

The State of Sustainable Research Software: Results from the Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE5.1).

Daniel S. Katz, Stephan Druskat, Robert Haines, Caroline Jay, Alexander Struck

CoRR, 2018

BioWorkbench: A High-Performance Framework for Managing and Analyzing Bioinformatics Experiments.

Maria Luiza Mondelli, Thiago Magalhães, Guilherme Loss, Michael Wilde, Ian T. Foster, Marta Mattoso, Daniel S. Katz, Helio J. C. Barbosa, Ana Tereza Ribeiro de Vasconcelos, Kary A. C. S. Ocaña, Luiz M. R. Gadelha Jr.

CoRR, 2018

Parsl: Scalable Parallel Scripting in Python.

Yadu N. Babuji, Kyle Chard, Ian T. Foster, Daniel S. Katz, Mike Wilde, Anna Woodard, Justin M. Wozniak

Proceedings of the 10th International Workshop on Science Gateways, 2018

Software Citation in Theory and Practice.

Daniel S. Katz, Neil P. Chue Hong

Proceedings of the Mathematical Software - ICMS 2018, 2018

Mapping the Research Software Sustainability Space.

Stephan Druskat, Daniel S. Katz

Proceedings of the 14th IEEE International Conference on e-Science, 2018

Building a Sustainable Structure for Research Software Engineering Activities.

Jeremy Cohen, Daniel S. Katz, Michelle Barker, Robert Haines, Neil P. Chue Hong

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017

Leading-edge research in cluster, cloud, and grid computing: Best papers from the IEEE/ACM CCGrid 2015 conference.

Daniel S. Katz, Xiaobo Zhou

Future Gener. Comput. Syst., 2017

A multi-disciplinary perspective on emergent and future innovations in peer review.

Jonathan P. Tennant, Jonathan M. Dugan, Daniel Graziotin, Damien C. Jacques, François Waldner, Daniel Mietchen, Yehia Elkhatib, Lauren B. Collister, Christina K. Pikas, Tom Crick, Paola Masuzzo, Anthony Caravaggi, Devin R. Berg, Kyle E. Niemeyer, Tony Ross-Hellauer, Sara Mannheimer, Lillian Rigling, Daniel S. Katz, Bastian Greshake Tzovaras, Josmel Pacheco-Mendoza, Nazeefa Fatima, Marta Poblet, Marios Isaakidis, Dasapta Erwin Irawan, Sébastien Renaut, Christopher R. Madan, Lisa Matthias, Jesper Nørgaard Kjær, Daniel Paul O'Donnell, Cameron Neylon, Sarah Kearns, Manojkumar Selvaraju, Julien Colomb

F1000Research, 2017

Four simple recommendations to encourage best practices in research software.

Rafael C. Jiménez, Mateusz Kuzak, Monther Alhamdoosh, Michelle Barker, Bérénice Batut, Mikael Borg, Salvador Capella-Gutiérrez, Neil P. Chue Hong, Martin Cook, Manuel Corpas, Madison Flannery, Leyla J. García, Josep Lluis Gelpí, Simon L. Gladman, Carole A. Goble, Montserrat González Ferreiro, Alejandra N. González-Beltrán, Philippa C. Griffin, Björn A. Grüning, Jonas Hagberg, Petr Holub, Rob W. W. Hooft, Jon C. Ison, Daniel S. Katz, Brane Leskosek, Federico López-Gómez, Luis J. Oliveira, David Mellor, Rowland Mosbergen, Nicola J. Mulder, Yasset Pérez-Riverol, Robert Pergl, Horst Pichler, Bernard J. Pope, Ferran Sanz, Maria Victoria Schneider, Victoria Stodden, Radoslaw Suchecki, Radka Svobodová Vareková, Harry-Anton Talvik, Ilian T. Todorov, Andrew E. Treloar, Sonika Tyagi, Maarten van Gompel, Daniel Vaughan, Allegra Via, Xiaochuan Wang, Nathan S. Watson-Haigh, Steve Crouch

F1000Research, 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

Streaming supercomputing needs workflow-enabled programming-in-the-large.

Justin M. Wozniak, Jonathan Ozik, Daniel S. Katz, Michael Wilde

CoRR, 2017

Report on the Fourth Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE4).

Daniel S. Katz, Kyle E. Niemeyer, Sandra Gesing, Lorraine J. Hwang, Wolfgang Bangerth, Simon Hettrick, Ray Idaszak, Jean Salac, Neil P. Chue Hong, Santiago Núñez Corrales, Alice Allen, R. Stuart Geiger, Jonah Miller, Emily Chen, Anshu Dubey, Patricia Lago

CoRR, 2017

Report on the first workshop on negative and null results in eScience.

Ketan Maheshwari, Daniel S. Katz, Sílvia Delgado Olabarriaga, Justin M. Wozniak, Douglas Thain

Concurr. Comput. Pract. Exp., 2017

Introducing distributed dynamic data-intensive (D3) science: Understanding applications and infrastructure.

Shantenu Jha, Daniel S. Katz, André Luckow, Neil P. Chue Hong, Omer F. Rana, Yogesh Simmhan

Concurr. Comput. Pract. Exp., 2017

A social content delivery network for e-Science.

Kyle Chard, Simon Caton, Kai Kugler, Omer F. Rana, Daniel S. Katz

Concurr. Comput. Pract. Exp., 2017

Evaluating Distributed Execution of Workloads.

Matteo Turilli, Yadu Nand Babuji, André Merzky, Ming Tai Ha, Michael Wilde, Daniel S. Katz, Shantenu Jha

Proceedings of the 13th IEEE International Conference on e-Science, 2017

Understanding Software in Research: Initial Results from Examining Nature and a Call for Collaboration.

Udit Nangia, Daniel S. Katz

Proceedings of the 13th IEEE International Conference on e-Science, 2017

BOSS-LDG: A Novel Computational Framework That Brings Together Blue Waters, Open Science Grid, Shifter and the LIGO Data Grid to Accelerate Gravitational Wave Discovery.

Eliu A. Huerta, Roland Haas, Edgar Fajardo Hernandez, Daniel S. Katz, Stuart Anderson, Peter Couvares, Josh Willis, Timothy Bouvet, Jeremy Enos, William T. C. Kramer, Hon Wai Leong, David Wheeler

Proceedings of the 13th IEEE International Conference on e-Science, 2017

2016

Ten Simple Rules for Taking Advantage of Git and GitHub.

Yasset Pérez-Riverol, Laurent Gatto, Rui Wang, Timo Sachsenberg, Julian Uszkoreit, Felipe da Veiga Leprevost, Christian Fufezan, Tobias Ternent, Stephen J. Eglen, Daniel S. Katz, Tom J. Pollard, Alexander Konovalov, Robert M. Flight, Kai Blin, Juan Antonio Vizcaíno

PLoS Comput. Biol., 2016

Software Citation Principles.

Arfon M. Smith, Daniel S. Katz, Kyle E. Niemeyer

PeerJ Prepr., 2016

Software vs. data in the context of citation.

Daniel S. Katz, Kyle E. Niemeyer, Arfon M. Smith, William L. Anderson, Carl Boettiger, Konrad Hinsen, Rob W. W. Hooft, Michael Hucka, Allen Lee, Frank Löffler, Tom J. Pollard, Fernando Rios

PeerJ Prepr., 2016

Application Skeleton: Generating Synthetic Applications for Infrastructure Research.

Zhao Zhang, Daniel S. Katz, André Merzky, Matteo Turilli, Shantenu Jha, Yadu Nand Babuji

J. Open Source Softw., 2016

The Challenge and Promise of Software Citation for Credit, Identification, Discovery, and Reuse.

Kyle E. Niemeyer, Arfon M. Smith, Daniel S. Katz

ACM J. Data Inf. Qual., 2016

eScience today and tomorrow - Part 2.

Claudia Bauzer Medeiros, Daniel S. Katz

Future Gener. Comput. Syst., 2016

eScience today and tomorrow.

Claudia Bauzer Medeiros, Daniel S. Katz

Future Gener. Comput. Syst., 2016

Application skeletons: Construction and use in eScience.

Daniel S. Katz, André Merzky, Zhao Zhang, Shantenu Jha

Future Gener. Comput. Syst., 2016

Analysis of Distributed Execution of Workloads.

Matteo Turilli, Yadu Nand Babuji, André Merzky, Ming Tai Ha, Michael Wilde, Daniel S. Katz, Shantenu Jha

CoRR, 2016

Report on the Third Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE3).

Daniel S. Katz, Sou-Cheng T. Choi, Kyle E. Niemeyer, James Hetherington, Frank Löffler, Dan Gunter, Ray Idaszak, Steven R. Brandt, Mark A. Miller, Sandra Gesing, Nick D. Jones, Nic Weber, Suresh Marru, Gabrielle Allen, Birgit Penzenstadler, Colin C. Venters, Ethan Davis, Lorraine J. Hwang, Ilian T. Todorov, Abani K. Patra, Miguel de Val-Borro

CoRR, 2016

Integrating Abstractions to Enhance the Execution of Distributed Applications.

Matteo Turilli, Feng Liu, Zhao Zhang, André Merzky, Michael Wilde, Jon B. Weissman, Daniel S. Katz, Shantenu Jha

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

Evaluating Online Global Recovery with Fenix Using Application-Aware In-Memory Checkpointing Techniques.

Marc Gamell, Daniel S. Katz, Keita Teranishi, Michael A. Heroux, Rob F. Van der Wijngaart, Timothy G. Mattson, Manish Parashar

Proceedings of the 45th International Conference on Parallel Processing Workshops, 2016

2015

The Case for Workflow-Aware Storage: An Opportunity Study.

Lauro Beltrão Costa, Hao Yang, Emalayan Vairavanathan, Abmar Barros, Ketan Maheshwari, Gilles Fedak, Daniel S. Katz, Michael Wilde, Matei Ripeanu, Samer Al-Kiswany

J. Grid Comput., 2015

Looking at Software Sustainability and Productivity Challenges from NSF.

Daniel S. Katz, Rajiv Ramnath

CoRR, 2015

Report on the Second Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE2).

Daniel S. Katz, Sou-Cheng T. Choi, Nancy Wilkins-Diehr, Neil P. Chue Hong, Colin C. Venters, James Howison, Frank J. Seinstra, Matthew Jones, Karen Cranston, Thomas L. Clune, Miguel de Val-Borro, Richard Littauer

CoRR, 2015

Interlanguage parallel scripting for distributed-memory scientific computing.

Justin M. Wozniak, Timothy G. Armstrong, Ketan Maheshwari, Daniel S. Katz, Michael Wilde, Ian T. Foster

Proceedings of the 10th Workshop on Workflows in Support of Large-Scale Science, 2015

Porting Ordinary Applications to Blue Gene/Q Supercomputers.

Ketan Maheshwari, Justin M. Wozniak, Timothy G. Armstrong, Daniel S. Katz, T. Andrew Binkowski, Xiaoliang Zhong, Olle Heinonen, Dmitry Karpeyev, Michael Wilde

Proceedings of the 11th IEEE International Conference on e-Science, 2015

Toward Interlanguage Parallel Scripting for Distributed-Memory Scientific Computing.

Justin M. Wozniak, Timothy G. Armstrong, Ketan C. Maheshwari, Daniel S. Katz, Michael Wilde, Ian T. Foster

Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2014

Special issue on eScience infrastructure and applications.

Daniel S. Katz, Zhao Zhang

Future Gener. Comput. Syst., 2014

Implementing Transitive Credit with JSON-LD.

Daniel S. Katz, Arfon M. Smith

CoRR, 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

Challenges in Selecting Software to be Reused.

Daniel S. Katz

CoRR, 2014

Standing Together for Reproducibility in Large-Scale Computing: Report on reproducibility@XSEDE.

Doug James, Nancy Wilkins-Diehr, Victoria Stodden, Dirk Colbry, Carlos Rosales, Mark R. Fahey, Justin Shi, Rafael Ferreira da Silva, Kyo Lee, Ralph Roskies, Laurence Loewe, Susan Lindsey, Rob Kooper, Lorena A. Barba, David H. Bailey, Jonathan M. Borwein, Óscar Corcho, Ewa Deelman, Michael C. Dietze, Benjamin Gilbert, Jan Harkes, Seth Keele, Praveen Kumar, Jong Lee, Erika Linke, Richard Marciano, Luigi Marini, Chris Mattmann, Dave Mattson, Kenton McHenry, Robert T. McLay, Sheila Miguez, Barbara S. Minsker, María S. Pérez-Hernández, Dan Ryan, Mats Rynge, Idafen Santana-Pérez, Mahadev Satyanarayanan, Gloriana St. Clair, Keith Webster, Eivind Hovig, Daniel S. Katz, Sophie Kay, Geir Kjetil Sandve, David Skinner, Gabrielle Allen, John Cazes, Kym Won Cho, Jim Fonseca, Lorraine J. Hwang, Lars Koesterke, Pragnesh Patel, Line Pouchard, Edward Seidel, Isuru Suriarachchi

CoRR, 2014

DA-TC: a novel application execution model in multicluster systems.

Zhifeng Yun, Zhou Lei, Gabrielle Allen, Daniel S. Katz, Jagannathan Ramanujam

Clust. Comput., 2014

Exploring Automatic, Online Failure Recovery for Scientific Applications at Extreme Scales.

Marc Gamell, Daniel S. Katz, Hemanth Kolla, Jacqueline Chen, Scott Klasky, Manish Parashar

Proceedings of the International Conference for High Performance Computing, 2014

Evaluating storage systems for scientific data in the cloud.

Ketan Maheshwari, Justin M. Wozniak, Hao Yang, Daniel S. Katz, Matei Ripeanu, Victor M. Zavala, Michael Wilde

Proceedings of the ScienceCloud'14, 2014

Design and evaluation of the gemtc framework for GPU-enabled many-task computing.

Scott J. Krieder, Justin M. Wozniak, Timothy G. Armstrong, Michael Wilde, Daniel S. Katz, Benjamin Grimmer, Ian T. Foster, Ioan Raicu

Proceedings of the 23rd International Symposium on High-Performance Parallel and Distributed Computing, 2014

Using Application Skeletons to Improve eScience Infrastructure.

Zhao Zhang, Daniel S. Katz

Proceedings of the 10th IEEE International Conference on e-Science, 2014

On Replica Placement in a Social CDN for e-Science.

Kai Kugler, Simon Caton, Kyle Chard, Daniel S. Katz

Proceedings of the 10th IEEE International Conference on e-Science, 2014

2013

JETS: Language and System Support for Many-Parallel-Task Workflows.

Justin M. Wozniak, Michael Wilde, Daniel S. Katz

J. Grid Comput., 2013

Turbine: A Distributed-memory Dataflow Engine for High Performance Many-task Applications.

Justin M. Wozniak, Timothy G. Armstrong, Ketan Maheshwari, Ewing L. Lusk, Daniel S. Katz, Michael Wilde, Ian T. Foster

Fundam. Informaticae, 2013

Recent advances in e-Science.

Daniel S. Katz, David Abramson

Future Gener. Comput. Syst., 2013

Reusability in Science: From Initial User Engagement to Dissemination of Results.

Ketan Maheshwari, David Kelly, Scott J. Krieder, Justin M. Wozniak, Daniel S. Katz, Mei Zhi-Gang, Mainak Mookherjee

CoRR, 2013

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

Daniel S. Katz, Gabrielle Allen, Neil P. Chue Hong, Manish Parashar, David Proctor

CoRR, 2013

Distributed computing practice for large-scale science and engineering applications.

Shantenu Jha, Murray Cole, Daniel S. Katz, Manish Parashar, Omer F. Rana, Jon B. Weissman

Concurr. Comput. Pract. Exp., 2013

Parallelizing the execution of sequential scripts.

Zhao Zhang, Daniel S. Katz, Timothy G. Armstrong, Justin M. Wozniak, Ian T. Foster

Proceedings of the International Conference for High Performance Computing, 2013

Swift/T: scalable data flow programming for many-task applications.

Justin M. Wozniak, Timothy G. Armstrong, Michael Wilde, Daniel S. Katz, Ewing L. Lusk, Ian T. Foster

Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2013

MTC envelope: defining the capability of large scale computers in the context of parallel scripting applications.

Zhao Zhang, Daniel S. Katz, Michael Wilde, Justin M. Wozniak, Ian T. Foster

Proceedings of the 22nd International Symposium on High-Performance Parallel and Distributed Computing, 2013

Constructing a Social Content Delivery Network for eScience.

Kai Kugler, Kyle Chard, Simon Caton, Omer F. Rana, Daniel S. Katz

Proceedings of the 9th IEEE International Conference on eScience, 2013

Swift/T: Large-Scale Application Composition via Distributed-Memory Dataflow Processing.

Justin M. Wozniak, Timothy G. Armstrong, Michael Wilde, Daniel S. Katz, Ewing L. Lusk, Ian T. Foster

Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013

2012

Grid Computing: The Next Decade -- Report and Summary

Jarek Nabrzyski, Krzysztof Kurowski, Daniel S. Katz, André Merzky

CoRR, 2012

Survey and Analysis of Production Distributed Computing Infrastructures

Daniel S. Katz, Shantenu Jha, Manish Parashar, Omer F. Rana, Jon B. Weissman

CoRR, 2012

Many-Task Computing and Blue Waters

Daniel S. Katz, Timothy G. Armstrong, Zhao Zhang, Michael Wilde, Justin M. Wozniak

CoRR, 2012

Turbine: a distributed-memory dataflow engine for extreme-scale many-task applications.

Justin M. Wozniak, Timothy G. Armstrong, Ketan Maheshwari, Ewing L. Lusk, Daniel S. Katz, Michael Wilde, Ian T. Foster

Proceedings of the 1st ACM SIGMOD Workshop on Scalable Workflow Execution Engines and Technologies, 2012

Design and analysis of data management in scalable parallel scripting.

Zhao Zhang, Daniel S. Katz, Justin M. Wozniak, Allan Espinosa, Ian T. Foster

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

A Social Content Delivery Network for Scientific Cooperation: Vision, Design, and Architecture.

Kyle Chard, Simon Caton, Omer F. Rana, Daniel S. Katz

Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Job and data clustering for aggregate use of multiple production cyberinfrastructures.

Ketan Maheshwari, Allan Espinosa, Daniel S. Katz, Michael Wilde, Zhao Zhang, Ian T. Foster, Scott Callaghan, Philip Maechling

Proceedings of the DIDC'12, 2012

Topic 1: Support Tools and Environments.

Omer F. Rana, Marios D. Dikaiakos, Daniel S. Katz, Christine Morin

Proceedings of the Euro-Par 2012 Parallel Processing - 18th International Conference, 2012

Pilot abstractions for compute, data, and network.

Mark Santcroos, Sílvia Delgado Olabarriaga, Daniel S. Katz, Shantenu Jha

Proceedings of the 8th IEEE International Conference on E-Science, 2012

A Workflow-Aware Storage System: An Opportunity Study.

Emalayan Vairavanathan, Samer Al-Kiswany, Lauro Beltrão Costa, Zhao Zhang, Daniel S. Katz, Michael Wilde, Matei Ripeanu

Proceedings of the 12th IEEE/ACM International Symposium on Cluster, 2012

2011

Swift: A language for distributed parallel scripting.

Michael Wilde, Mihael Hategan, Justin M. Wozniak, Ben Clifford, Daniel S. Katz, Ian T. Foster

Parallel Comput., 2011

Many-Task Computing Tools for Multiscale Modeling

Daniel S. Katz, Matei Ripeanu, Michael Wilde

CoRR, 2011

Data-intensive CyberShake computations on an opportunistic cyberinfrastructure.

Allan Espinosa, Daniel S. Katz, Michael Wilde, Ketan Maheshwari, Ian T. Foster, Scott Callaghan, Philip Maechling

Proceedings of the 2011 TeraGrid Conference - Extreme Digital Discovery, 2011

AME: an anyscale many-task computing engine.

Zhao Zhang, Daniel S. Katz, Matei Ripeanu, Michael Wilde, Ian T. Foster

Proceedings of the WORKS'11, 2011

Panel: many-task computing meets exascales.

Ioan Raicu, Dan Reed, Jack J. Dongarra, Daniel S. Katz, David Abramson

Proceedings of the 2011 ACM International Workshop on Many Task Computing on Grids and Supercomputers, 2011

Cyberinfrastructure Usage Modalities on the TeraGrid.

Daniel S. Katz, David L. Hart, Chris Jordan, Amitava Majumdar, John-Paul Navarro, Warren Smith, John Towns, Von Welch, Nancy Wilkins-Diehr

Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

2010

Special Section: Grid computing, high-performance and distributed applications.

Pilar Herrero, Daniel S. Katz, María S. Pérez, Domenico Talia

Future Gener. Comput. Syst., 2010

Collaborative Astronomical Image Mosaics

Daniel S. Katz, G. Bruce Berriman, Robert G. Mann

CoRR, 2010

Special Issue: Grid Computing, High Performance and Distributed Application.

María S. Pérez, Pilar Herrero, Dennis Gannon, Daniel S. Katz

Concurr. Comput. Pract. Exp., 2010

Global-scale distributed I/O with ParaMEDIC.

Pavan Balaji, Wu-chun Feng, Heshan Lin, Jeremy S. Archuleta, Satoshi Matsuoka, Andrew S. Warren, João Carlos Setubal, Ewing L. Lusk, Rajeev Thakur, Ian T. Foster, Daniel S. Katz, Shantenu Jha, K. Shinpaugh, Susan Coghlan, Daniel A. Reed

Concurr. Comput. Pract. Exp., 2010

Scheduling many-task workloads on supercomputers: Dealing with trailing tasks.

Timothy G. Armstrong, Zhao Zhang, Daniel S. Katz, Michael Wilde, Ian T. Foster

Proceedings of the 3rd Workshop on Many-Task Computing on Grids and Supercomputers, 2010

Distributed Systems and Algorithms.

Omer F. Rana, Giandomenico Spezzano, Michael Gerndt, Daniel S. Katz

Proceedings of the Euro-Par 2010 - Parallel Processing, 16th International Euro-Par Conference, Ischia, Italy, August 31, 2010

2009

Montage: a grid portal and software toolkit for science-grade astronomical image mosaicking.

Joseph C. Jacob, Daniel S. Katz, G. Bruce Berriman, John Good, Anastasia C. Laity, Ewa Deelman, Carl Kesselman, Gurmeet Singh, Mei-Hui Su, Thomas A. Prince, Roy Williams

Int. J. Comput. Sci. Eng., 2009

Critical perspectives on large-scale distributed applications and production Grids.

Shantenu Jha, Daniel S. Katz, Manish Parashar, Omer F. Rana, Jon B. Weissman

Proceedings of the 2009 10th IEEE/ACM International Conference on Grid Computing, 2009

A Fresh Perspective on Developing and Executing DAG-Based Distributed Applications: A Case-Study of SAGA-Based Montage.

André Merzky, Katerina Stamou, Shantenu Jha, Daniel S. Katz

Proceedings of the Fifth International Conference on e-Science, 2009

An innovative application execution toolkit for multicluster grids.

Zhifeng Yun, Zhou Lei, Gabrielle Allen, Daniel S. Katz, Tevfik Kosar, Shantenu Jha, Jagannathan Ramanujam

Proceedings of the 2009 IEEE International Conference on Cluster Computing, August 31, 2009

2008

GADA 2008 PC Co-chairs' Message.

Pilar Herrero, Daniel S. Katz, María S. Pérez, Dennis Gannon

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2008, 2008

Feature rich, enhanced grid portal for LONI.

Katerina Stamou, Prathyusha V. Akunuri, Gabrielle Allen, Archit Kulshrestha, Daniel S. Katz

Proceedings of the 15th ACM Mardi Gras conference: From lightweight mash-ups to lambda grids: Understanding the spectrum of distributed computing requirements, applications, tools, infrastructures, interoperability, and the incremental adoption of key capabilities, Baton Rouge, Louisiana, USA, January 29, 2008

Workflow task clustering for best effort systems with Pegasus.

Gurmeet Singh, Mei-Hui Su, Karan Vahi, Ewa Deelman, G. Bruce Berriman, John Good, Daniel S. Katz, Gaurang Mehta

Proceedings of the 15th ACM Mardi Gras conference: From lightweight mash-ups to lambda grids: Understanding the spectrum of distributed computing requirements, applications, tools, infrastructures, interoperability, and the incremental adoption of key capabilities, Baton Rouge, Louisiana, USA, January 29, 2008

Abstractions for Distributed Systems (DPA 2008).

Shantenu Jha, Daniel S. Katz, Manish Parashar, Omer F. Rana, Murray Cole

Proceedings of the Euro-Par 2008 Workshops, 2008

2007

Optimizing workflow data footprint.

Gurmeet Singh, Karan Vahi, Arun Ramakrishnan, Gaurang Mehta, Ewa Deelman, Henan Zhao, Rizos Sakellariou, Kent Blackburn, Duncan A. Brown, Stephen Fairhurst, David Meyers, G. Bruce Berriman, John Good, Daniel S. Katz

Sci. Program., 2007

GADA 2007 PC Co-chairs' Message.

Pilar Herrero, Daniel S. Katz, María S. Pérez, Domenico Talia

Proceedings of the On the Move to Meaningful Internet Systems 2007: CoopIS, 2007

Generating Complex Astronomy Workflows.

G. Bruce Berriman, Ewa Deelman, John Good, Joseph C. Jacob, Daniel S. Katz, Anastasia C. Laity, Thomas A. Prince, Gurmeet Singh, Mei-Hui Su

Proceedings of the Workflows for e-Science, Scientific Workflows for Grids., 2007

2006

A Component Architecture for High-Performance Scientific Computing.

David E. Bernholdt, Benjamin A. Allan, Robert C. Armstrong, Felipe Bertrand, Kenneth Chiu, Tamara Dahlgren, Kostadin Damevski, Wael R. Elwasif, Thomas Epperly, Madhusudhan Govindaraju, Daniel S. Katz, James Arthur Kohl, Manojkumar Krishnan, Gary Kumfert, Jay Walter Larson, Sophia Lefantzi, Michael J. Lewis, Allen D. Malony, Lois C. McInnes, Jarek Nieplocha, Boyana Norris, Steven G. Parker, Jaideep Ray, Sameer Shende, Theresa L. Windus, Shujia Zhou

Int. J. High Perform. Comput. Appl., 2006

Data-Oriented Distributed Computing for Science: Reality and Possibilities.

Daniel S. Katz, Joseph C. Jacob, Peggy Li, Yi Chao, Gabrielle Allen

Proceedings of the On the Move to Meaningful Internet Systems 2006: CoopIS, 2006

2005

Pegasus: A framework for mapping complex scientific workflows onto distributed systems.

Ewa Deelman, Gurmeet Singh, Mei-Hui Su, James Blythe, Yolanda Gil, Carl Kesselman, Gaurang Mehta, Karan Vahi, G. Bruce Berriman, John Good, Anastasia C. Laity, Joseph C. Jacob, Daniel S. Katz

Sci. Program., 2005

The Pegasus portal: web based grid computing.

Gurmeet Singh, Ewa Deelman, Gaurang Mehta, Karan Vahi, Mei-Hui Su, G. Bruce Berriman, John Good, Joseph C. Jacob, Daniel S. Katz, Albert Lazzarini, Kent Blackburn, Scott Koranda

Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

A Comparison of Two Methods for Building Astronomical Image Mosaics on a Grid.

Daniel S. Katz, Joseph C. Jacob, G. Bruce Berriman, John Good, Anastasia C. Laity, Ewa Deelman, Carl Kesselman, Gurmeet Singh, Mei-Hui Su, Thomas A. Prince

Proceedings of the 34th International Conference on Parallel Processing Workshops (ICPP 2005 Workshops), 2005

Message from the Chairs.

Daniel S. Katz, Mark Baker

Proceedings of the 34th International Conference on Parallel Processing Workshops (ICPP 2005 Workshops), 2005

2004

Accessing and Visualizing Scientific Spatiotemporal Data.

Daniel S. Katz, Attila Bergou, G. Bruce Berriman, Gary L. Block, Jim Collier, David W. Curkendall, John Good, Laura Husman, Joseph C. Jacob, Anastasia C. Laity, Peggy Li, Craig Miller, Tom Prince, Herb Siegel, Roy Williams

Proceedings of the 16th International Conference on Scientific and Statistical Database Management (SSDBM 2004), 2004

Application-Level Fault Tolerance in the Orbital Thermal Imaging Spectrometer.

E. Ciocca, Israel Koren, Zahava Koren, C. Mani Krishna, Daniel S. Katz

Proceedings of the 10th IEEE Pacific Rim International Symposium on Dependable Computing (PRDC 2004), 2004

2003

Tests and Tolerances for High-Performance Software-Implemented Fault Detection.

Michael J. Turmon, Robert Granat, Daniel S. Katz, John Z. Lou

IEEE Trans. Computers, 2003

NASA Advances Robotic Space Exploration.

Daniel S. Katz, Raphael R. Some

Computer, 2003

2001

High Performance Computing Systems for Autonomous Spaceborne Missions.

Thomas L. Sterling, Daniel S. Katz, Larry A. Bergman

Int. J. High Perform. Comput. Appl., 2001

Embedded/Real-Time Systems.

Daniel S. Katz, Jeremy Kepner

Int. J. High Perform. Comput. Appl., 2001

Fault-Tolerant High-Performance Matrix Multiplication: Theory and Practice.

John A. Gunnels, Robert A. van de Geijn, Daniel S. Katz, Enrique S. Quintana-Ortí

Proceedings of the 2001 International Conference on Dependable Systems and Networks (DSN 2001) (formerly: FTCS), 2001

2000

Software-Implemented Fault Detection for High-Performance Space Applications.

Michael J. Turmon, Robert Granat, Daniel S. Katz

Proceedings of the 2000 International Conference on Dependable Systems and Networks (DSN 2000) (formerly FTCS-30 and DCCA-8), 2000

Demonstration of the Remote Exploration and Experimentation (REE) Fault-Tolerant Parallel-Processing Supercomputer for Spacecraft Onboard Scientific Data Processing.

Fannie Chen, Loring Craymer, Jeff Deifik, Alvin J. Fogel, Daniel S. Katz, Alfred G. Silliman Jr., Raphael R. Some, Sean A. Upchurch, Keith Whisnant

Proceedings of the 2000 International Conference on Dependable Systems and Networks (DSN 2000) (formerly FTCS-30 and DCCA-8), 2000

Development of a Spaceborne Embedded Cluster.

Daniel S. Katz, Paul L. Springer

Proceedings of the 2000 IEEE International Conference on Cluster Computing (CLUSTER 2000), November 28th, 2000

1999

Advances in Modeling the Generation of the Geomagnetic Field by the Use of Massively Parallel Computers and Profound Optimization.

Thomas C. Clune, Daniel S. Katz, Gary A. Glatzmaier

Proceedings of the Ninth SIAM Conference on Parallel Processing for Scientific Computing, 1999

1997

Optimization of a Parallel Ocean General Circulation Model.

Ping Wang, Daniel S. Katz, Yi Chao

Proceedings of the ACM/IEEE Conference on Supercomputing, 1997

1992

Initial results for automated computational modeling of patient-specific electromagnetic hyperthermia.

Melinda J. Piket-May, Allen Taflove, Wei-Chung Lin, Daniel S. Katz, V. Sathiaseelan, Bhuvan B. Mittal

IEEE Trans. Biomed. Eng., 1992