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ORCIDDaniel S. Katz
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- affiliation: University of Illinois Urbana-Champaign, School of Information Sciences, IL, USA
- affiliation (2009-2021): Argonne National Laboratory, IL, USA
- affiliation (2009-2016): University of Chicago, Computation Institute (CI), IL, USA
- affiliation (2006-2013): Louisiana State University, Department of Electrical and Computer Engineering ,
- affiliation (PhD): Northwestern University, Evanston, IL, USA
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2020 – today
- 2024
[j56]Daniel S. Katz
, Jeffrey C. Carver:
Thoughts on Learning Human and Programming Languages. Comput. Sci. Eng. 26(1): 77-80 (2024)- [j55]Daniel S. Katz, Neil P. Chue Hong:
Special issue on software citation, indexing, and discoverability. PeerJ Comput. Sci. 10: e1951 (2024) - [c76]Samuel Grayson, Faustino Aguilar, Reed Milewicz, Daniel S. Katz, Darko Marinov:
A benchmark suite and performance analysis of user-space provenance collectors. ACM-REP 2024 - [c75]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:
Enabling Remote Management of FaaS Endpoints with Globus Compute Multi-User Endpoints. PEARC 2024: 62:1-62:5 - [i83]Raphael Sonabend, Hugo Gruson, Leo Wolansky, Agnes Kiragga, Daniel S. Katz:
FAIR-USE4OS: From open source to Open Source. CoRR abs/2402.02824 (2024) - [i82]Britta U. Westner, Daniel R. McCloy, Eric Larson, Alexandre Gramfort, Daniel S. Katz, Arfon M. Smith, invited co-signees:
Cycling on the Freeway: The Perilous State of Open Source Neuroscience Software. CoRR abs/2403.19394 (2024) - [i81]Daniel S. Katz, Volodymyr V. Kindratenko, Olena Kindratenko, Priyam Mazumdar:
Training Next Generation AI Users and Developers at NCSA. CoRR abs/2406.14744 (2024) - [i80]Daniel S. Katz, Jeffrey C. Carver:
Thoughts on Learning Human and Programming Languages. CoRR abs/2407.15907 (2024) - 2023
- [j54]Daniel S. Katz, Volodymyr V. Kindratenko, Olena Kindratenko, Priyam Mazumdar:
Training Next-Generation Artificial Intelligence Users and Developers at NCSA. Comput. Sci. Eng. 25(6): 28-32 (2023) - [j53]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:
FAIR AI models in high energy physics. Mach. Learn. Sci. Technol. 4(4): 45062 (2023) - [c74]Samuel Grayson, Darko Marinov, Daniel S. Katz, Reed Milewicz:
Automatic Reproduction of Workflows in the Snakemake Workflow Catalog and nf-core Registries. ACM-REP 2023: 74-84 - [c73]Daniel S. Katz, Simon Hettrick:
Research Software Engineering in 2030. e-Science 2023: 1-2 - [c72]Ed Karrels, Lei Huang, Yuhong Kan, Ishank Arora, Yinzhi Wang, Daniel S. Katz, William Gropp, Zhao Zhang:
Fine-grained Policy-driven I/O Sharing for Burst Buffers. SC 2023: 95:1-95:12 - [c71]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:
Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments. SC Workshops 2023: 2097-2108 - [i79]Todd Gamblin, Daniel S. Katz:
Overcoming Challenges to Continuous Integration in HPC. CoRR abs/2303.17034 (2023) - [i78]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.:
Workflows Community Summit 2022: A Roadmap Revolution. CoRR abs/2304.00019 (2023) - [i77]Ed Karrels, Lei Huang, Yuhong Kan, Ishank Arora, Yinzhi Wang, Daniel S. Katz, William D. Gropp, Zhao Zhang:
Fine-grained Policy-driven I/O Sharing for Burst Buffers. CoRR abs/2306.11615 (2023) - [i76]Daniel S. Katz, Ben Clifford, Yadu N. Babuji, Kevin Hunter Kesling, Anna Woodard, Kyle Chard:
The Changing Role of RSEs over the Lifetime of Parsl. CoRR abs/2307.11060 (2023) - [i75]Samuel Grayson, Reed Milewicz, Joshua B. Teves, Daniel S. Katz, Darko Marinov:
Wanted: standards for automatic reproducibility of computational experiments. CoRR abs/2307.11383 (2023) - [i74]Daniel S. Katz, Simon Hettrick:
Research Software Engineering in 2030. CoRR abs/2308.07796 (2023) - [i73]Gregory R. Watson, Addi Malviya-Thakur, Daniel S. Katz, Elaine M. Raybourn, Bill Hoffman, Dana Robinson, John Kellerman, Clark Roundy:
An Open Community-Driven Model For Sustainable Research Software: Sustainable Research Software Institute. CoRR abs/2308.14953 (2023) - [i72]Gregory R. Watson, Addi Malviya-Thakur, Daniel S. Katz, Elaine M. Raybourn, Bill Hoffman, Dana Robinson, John Kellerman, Clark Roundy:
Transitioning ECP Software Technology into a Foundation for Sustainable Research Software. CoRR abs/2308.14954 (2023) - [i71]Alejandro Duque, Abdullah Syed, Kastan V. Day, Matthew J. Berry, Daniel S. Katz, Volodymyr V. Kindratenko:
Leveraging Large Language Models to Build and Execute Computational Workflows. CoRR abs/2312.07711 (2023) - 2022
- [j52]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:
Giving Research Software Engineers a Larger Stage Through the Better Scientific Software Fellowship. Comput. Sci. Eng. 24(5): 6-13 (2022) - [j51]Ian A. Cosden, Kenton McHenry, Daniel S. Katz:
Research Software Engineers: Career Entry Points and Training Gaps. Comput. Sci. Eng. 24(6): 14-21 (2022) - [j50]Todd Gamblin, Daniel S. Katz:
Overcoming Challenges to Continuous Integration in HPC. Comput. Sci. Eng. 24(6): 54-59 (2022) - [j49]Jeffrey C. Carver, Nic Weber, Karthik Ram, Sandra Gesing, Daniel S. Katz:
A survey of the state of the practice for research software in the United States. PeerJ Comput. Sci. 8: e963 (2022) - [j48]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:
$f$funcX: Federated Function as a Service for Science. IEEE Trans. Parallel Distributed Syst. 33(12): 4948-4963 (2022) - [i70]Kyle Chard, Yadu N. Babuji, Anna Woodard, Ben Clifford, Zhuozhao Li, Mihael Hategan, Ian T. Foster, Mike Wilde, Daniel S. Katz:
Extended Abstract: Productive Parallel Programming with Parsl. CoRR abs/2205.01527 (2022) - [i69]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:
funcX: Federated Function as a Service for Science. CoRR abs/2209.11631 (2022) - [i68]Ian A. Cosden, Kenton McHenry, Daniel S. Katz:
Research Software Engineers: Career Entry Points and Training Gaps. CoRR abs/2210.04275 (2022) - [i67]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:
FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective. CoRR abs/2210.08973 (2022) - [i66]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:
Giving RSEs a Larger Stage through the Better Scientific Software Fellowship. CoRR abs/2211.07436 (2022) - [i65]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:
FAIR AI Models in High Energy Physics. CoRR abs/2212.05081 (2022) - 2021
- [j47]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:
Software Training in HEP. Comput. Softw. Big Sci. 5(1) (2021) - [j46]Rebecca Vandewalle, William C. Barley, Anand Padmanabhan, Daniel S. Katz, Shaowen Wang:
Understanding the multifaceted geospatial software ecosystem: a survey approach. Int. J. Geogr. Inf. Sci. 35(11): 2168-2186 (2021) - [j45]Daniel S. Katz, Shelley Stall:
Software citation. Inf. Serv. Use 41(1-2): 39-42 (2021) - [j44]Daniel S. Katz, Morane Gruenpeter, Tom Honeyman:
Taking a fresh look at FAIR for research software. Patterns 2(3): 100222 (2021) - [j43]Daniel S. Katz, Morane Gruenpeter, Tom Honeyman:
Taking a fresh look at FAIR for research software. Patterns 2(5): 100267 (2021) - [j42]Jeremy Cohen, Daniel S. Katz, Michelle Barker, Neil P. Chue Hong, Robert Haines, Caroline Jay:
The Four Pillars of Research Software Engineering. IEEE Softw. 38(1): 97-105 (2021) - [c70]Daniel S. Katz, Fotis E. Psomopoulos, Leyla Jael Castro:
Working Towards Understanding the Role of FAIR for Machine Learning. DaMaLOS 2021: 1-6 - [c69]Antonio Villarreal, Yadu N. Babuji, Thomas D. Uram, Daniel S. Katz, Kyle Chard, Katrin Heitmann:
Extreme Scale Survey Simulation with Python Workflows. e-Science 2021: 206-214 - [c68]Yadu N. Babuji, Josh Bryan, Ryan Chard, Kyle Chard, Ian T. Foster, Ben Galewsky, Daniel S. Katz, Zhuozhao Li:
Federated Function as a Service for eScience. e-Science 2021: 251-252 - [c67]Daniel S. Katz, Kenton McHenry, Jong S. Lee:
Research Software Sustainability: Lessons Learned at NCSA. HICSS 2021: 1-8 - [c66]Stephan Druskat, Daniel S. Katz, Ilian T. Todorov:
Research Software Sustainability and Citation. BoKSS@ICSE 2021: 1-2 - [c65]Daniel S. Katz, Jeffrey C. Carver, Neil P. Chue Hong, Sandra Gesing, Simon Hettrick, Tom Honeyman, Karthik Ram, Nicholas M. Weber:
Addressing Research Software Sustainability via Institutes. BoKSS@ICSE 2021: 11-12 - [c64]Jeffrey C. Carver, Ian A. Cosden, Chris Hill, Sandra Gesing, Daniel S. Katz:
Sustaining Research Software via Research Software Engineers and Professional Associations. BoKSS@ICSE 2021: 23-24 - [c63]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:
A Community Roadmap for Scientific Workflows Research and Development. WORKS 2021: 81-90 - [d11]Jeff Carver, Sandra Gesing, Daniel S. Katz, Karthik Ram, Nicholas Weber:
URSSI Community Survey 2018 Raw Data. Zenodo, 2021
- [d10]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:
LiberTEM/LiberTEM: 0.8.0. Zenodo, 2021 - [d9]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:
LiberTEM/LiberTEM: 0.6.0. Zenodo, 2021 - [d8]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:
LiberTEM/LiberTEM: 0.7.0. Zenodo, 2021 - [d7]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:
LiberTEM/LiberTEM: 0.7.1. Zenodo, 2021 - [i64]Daniel S. Katz, Morane Gruenpeter, Tom Honeyman, Lorraine J. Hwang, Mark D. Wilkinson, Vanessa V. Sochat, Hartwig Anzt, Carole A. Goble:
A Fresh Look at FAIR for Research Software. CoRR abs/2101.10883 (2021) - [i63]Jeffrey C. Carver, Ian A. Cosden, Chris Hill, Sandra Gesing, Daniel S. Katz:
Sustaining Research Software via Research Software Engineers and Professional Associations. CoRR abs/2103.01880 (2021) - [i62]Daniel S. Katz, Jeffrey C. Carver, Neil P. Chue Hong, Sandra Gesing, Simon Hettrick, Tom Honeyman, Karthik Ram, Nicholas M. Weber:
Addressing Research Software Sustainability via Institutes. CoRR abs/2103.03690 (2021) - [i61]Stephan Druskat, Daniel S. Katz, Ilian T. Todorov:
Research Software Sustainability and Citation. CoRR abs/2103.06681 (2021) - [i60]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:
Workflows Community Summit: Bringing the Scientific Workflows Community Together. CoRR abs/2103.09181 (2021) - [i59]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:
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. CoRR abs/2106.05177 (2021) - [i58]Joe Stubbs, Suresh Marru, Daniel Mejia, Daniel S. Katz, Kyle Chard, Maytal Dahan, Marlon E. Pierce, Michael G. Zentner:
Toward Interoperable Cyberinfrastructure: Common Descriptions for Computational Resources and Applications. CoRR abs/2107.00417 (2021) - [i57]Justin M. Wozniak, Timothy G. Armstrong, Ketan C. Maheshwari, Daniel S. Katz, Michael Wilde, Ian T. Foster:
Toward Interlanguage Parallel Scripting for Distributed-Memory Scientific Computing. CoRR abs/2107.02841 (2021) - [i56]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:
A FAIR and AI-ready Higgs Boson Decay Dataset. CoRR abs/2108.02214 (2021) - [i55]A. S. Villarreal, Yadu N. Babuji, Thomas D. Uram, Daniel S. Katz, Kyle Chard, Katrin Heitmann:
Extreme Scale Survey Simulation with Python Workflows. CoRR abs/2109.12060 (2021) - [i54]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:
A Community Roadmap for Scientific Workflows Research and Development. CoRR abs/2110.02168 (2021) - 2020
- [j41]Daniel S. Katz, Neil P. Chue Hong, Tim Clark, Martin Fenner, Maryann E. Martone:
Software and Data Citation. Comput. Sci. Eng. 22(2): 4-7 (2020) - [j40]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:
Convergence of artificial intelligence and high performance computing on NSF-supported cyberinfrastructure. J. Big Data 7(1): 88 (2020) - [c62]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:
Software as a first-class citizen in research. DaMaLOS 2020: 1-8 - [c61]Christina Maimone, Ian A. Cosden, Charles R. Ferenbaugh, Daniel S. Katz, Chris Hill, Kenton McHenry, Kaspar Mueller:
Research software engineers community workshop. PEARC Companion 2020: 13:1 - [c60]Joe Stubbs, Suresh Marru, Daniel Mejia, Daniel S. Katz, Kyle Chard, Maytal Dahan, Marlon E. Pierce, Michael G. Zentner:
Toward Interoperable Cyberinfrastructure: Common Descriptions for Computational Resources and Applications. PEARC 2020: 522-525 - [d6]Daniel S. Katz, Michelle Barker, Paula Andrea Martínez, Hartwig Anzt, Alejandra N. González-Beltrán, Tom Bakker:
The Research Software Alliance (ReSA) and the community landscape. Zenodo, 2020 - [i53]Jeremy Cohen, Daniel S. Katz, Michelle Barker, Neil P. Chue Hong, Robert Haines, Caroline Jay:
The Four Pillars of Research Software Engineering. CoRR abs/2002.01035 (2020) - [i52]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:
Convergence of Artificial Intelligence and High Performance Computing on NSF-supported Cyberinfrastructure. CoRR abs/2003.08394 (2020) - [i51]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:
Software Sustainability & High Energy Physics. CoRR abs/2010.05102 (2020) - [i50]Caroline Jay, Robert Haines, Daniel S. Katz:
Software must be recognised as an important output of scholarly research. CoRR abs/2011.07571 (2020) - [i49]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:
Confluence of Artificial Intelligence and High Performance Computing for Accelerated, Scalable and Reproducible Gravitational Wave Detection. CoRR abs/2012.08545 (2020) - [i48]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:
Nine Best Practices for Research Software Registries and Repositories: A Concise Guide. CoRR abs/2012.13117 (2020) - [i47]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:
The challenges of theory-software translation. F1000Research 9: 1192 (2020)
2010 – 2019
- 2019
- [j39]Dan Sholler, Karthik Ram, Carl Boettiger, Daniel S. Katz:
Enforcing public data archiving policies in academic publishing: A study of ecology journals. Big Data Soc. 6(1): 205395171983625 (2019) - [j38]Eliu A. Huerta, Roland Haas, Shantenu Jha, Mark S. Neubauer, Daniel S. Katz:
Supporting High-Performance and High-Throughput Computing for Experimental Science. Comput. Softw. Big Sci. 3(1) (2019) - [j37]Scott A. Lathrop, Mike Folk, Daniel S. Katz, Lois Curfman McInnes, Andy Terrel:
Introduction to Accelerating Scientific Discovery With Reusable Software. Comput. Sci. Eng. 21(2): 5-7 (2019) - [j36]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:
Community Organizations: Changing the Culture in Which Research Software Is Developed and Sustained. Comput. Sci. Eng. 21(2): 8-24 (2019) - [j35]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:
The global impact of science gateways, virtual research environments and virtual laboratories. Future Gener. Comput. Syst. 95: 240-248 (2019) - [c59]Zhao Zhang, Lei Huang, Ruizhu Huang, Weijia Xu, Daniel S. Katz:
Quantifying the Impact of Memory Errors in Deep Learning. CLUSTER 2019: 1-12 - [c58]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:
Parsl: Pervasive Parallel Programming in Python. HPDC 2019: 25-36 - [c57]Daniel S. Katz, Kenton McHenry, Caleb Reinking, Robert Haines:
Research software development & management in universities: case studies from Manchester's RSDS group, Illinois' NCSA, and Notre Dame's CRC. SE4Science@ICSE 2019: 17-24 - [c56]Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Ian T. Foster, Michael Wilde, Kyle Chard:
Scalable Parallel Programming in Python with Parsl. PEARC 2019: 22:1-22:8 - [i46]Daniel S. Katz:
Citation and Research Objects: Toward Active Research Objects. RO 2019 - [d5]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:
softwaresaved/international-survey: Public release for 2018 results. Zenodo, 2019 - [i45]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:
Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era. CoRR abs/1902.00522 (2019) - [i44]Daniel S. Katz, Patrick Aerts, Neil P. Chue Hong, Anshu Dubey, Sandra Gesing, Henry Neeman, David E. Pearah:
Sustaining Research Software: an SC18 Panel. CoRR abs/1902.08942 (2019) - [i43]Daniel S. Katz, Kenton McHenry, Caleb Reinking, Robert Haines:
Research Software Development & Management in Universities: Case Studies from Manchester's RSDS Group, Illinois' NCSA, and Notre Dame's CRC. CoRR abs/1903.00732 (2019) - [i42]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:
Parsl: Pervasive Parallel Programming in Python. CoRR abs/1905.02158 (2019) - [i41]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:
Software Citation Implementation Challenges. CoRR abs/1905.08674 (2019) - [i40]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:
Theory-Software Translation: Research Challenges and Future Directions. CoRR abs/1910.09902 (2019) - [i39]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, <