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ORCIDDaniel S. Katz
Person information
- 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
- 2023
[c71]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- [i78]Todd Gamblin, Daniel S. Katz:
Overcoming Challenges to Continuous Integration in HPC. CoRR abs/2303.17034 (2023) - [i77]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) - [i76]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) - [i75]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) - [i74]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) - [i73]Daniel S. Katz, Simon Hettrick:
Research Software Engineering in 2030. CoRR abs/2308.07796 (2023) - [i72]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) - [i71]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) - 2022
- [j50]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) - [j49]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) - [j48]Todd Gamblin, Daniel S. Katz:
Overcoming Challenges to Continuous Integration in HPC. Comput. Sci. Eng. 24(6): 54-59 (2022) - [j47]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) - [j46]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]E. 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, E. 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
- [j45]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) - [j44]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) - [j43]Daniel S. Katz, Shelley Stall:
Software citation. Inf. Serv. Use 41(1-2): 39-42 (2021) - [j42]Daniel S. Katz, Morane Gruenpeter, Tom Honeyman:
Taking a fresh look at FAIR for research software. Patterns 2(3): 100222 (2021) - [j41]Daniel S. Katz, Morane Gruenpeter, Tom Honeyman:
Taking a fresh look at FAIR for research software. Patterns 2(5): 100267 (2021) - [j40]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 - [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, E. 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
- [j39]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) - [j38]E. 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 - [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]E. 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]E. 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
- [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 - [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, E. 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]E. 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:
Enabling real-time multi-messenger astrophysics discoveries with deep learning. CoRR abs/1911.11779 (2019) - 2018
- [j34]Jeffrey C. Carver, Sandra Gesing, Daniel S. Katz, Karthik Ram, Nic Weber:
Conceptualization of a US Research Software Sustainability Institute (URSSI). Comput. Sci. Eng. 20(3): 4-9 (2018) - [j33]Daniel S. Katz, Kyle E. Niemeyer, Arfon M. Smith:
Publish Your Software: Introducing the Journal of Open Source Software (JOSS). Comput. Sci. Eng. 20(3): 84-88 (2018) - [j32]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:
Journal of Open Source Software (JOSS): design and first-year review. PeerJ Comput. Sci. 4: e147 (2018) - [c55]Stephan Druskat, Daniel S. Katz:
Mapping the Research Software Sustainability Space. eScience 2018: 25-30 - [c54]Jeremy Cohen, Daniel S. Katz, Michelle Barker, Robert Haines, Neil P. Chue Hong:
Building a Sustainable Structure for Research Software Engineering Activities. eScience 2018: 31-32 - [c53]Daniel S. Katz, Neil P. Chue Hong:
Software Citation in Theory and Practice. ICMS 2018: 289-296 - [c52]Yadu N. Babuji, Kyle Chard, Ian T. Foster, Daniel S. Katz, Mike Wilde, Anna Woodard, Justin M. Wozniak:
Parsl: Scalable Parallel Scripting in Python. IWSG 2018 - [i38]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.:
BioWorkbench: A High-Performance Framework for Managing and Analyzing Bioinformatics Experiments. CoRR abs/1801.03915 (2018) - [i37]Stephan Druskat, Daniel S. Katz:
Mapping the research software sustainability space. CoRR abs/1807.01772 (2018) - [i36]Jeremy Cohen, Daniel S. Katz, Michelle Barker, Robert Haines, Neil P. Chue Hong:
Building a Sustainable Structure for Research Software Engineering Activities. CoRR abs/1807.04072 (2018) - [i35]Daniel S. Katz, Stephan Druskat, Robert Haines, Caroline Jay, Alexander Struck:
The State of Sustainable Research Software: Results from the Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE5.1). CoRR abs/1807.07387 (2018) - [i34]Daniel S. Katz, Neil P. Chue Hong:
Software Citation in Theory and Practice. CoRR abs/1807.08149 (2018) - [i33]E. A. Huerta, Roland Haas, Shantenu Jha, Mark S. Neubauer, Daniel S. Katz:
Supporting High-Performance and High-Throughput Computing for Experimental Science. CoRR abs/1810.03056 (2018) - [i32]Dan Sholler, Karthik Ram, Carl Boettiger, Daniel S. Katz:
Enforcing public data archiving policies in academic publishing: A study of ecology journals. CoRR abs/1810.13040 (2018) - [i31]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. CoRR abs/1811.08473 (2018) - [i30]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:
The principles of tomorrow's university. F1000Research 7: 1926 (2018) - 2017
- [j31]Ketan Maheshwari, Daniel S. Katz, Sílvia Delgado Olabarriaga, Justin M. Wozniak, Douglas Thain:
Report on the first workshop on negative and null results in eScience. Concurr. Comput. Pract. Exp. 29(2) (2017) - [j30]Kyle Chard, Simon Caton, Kai Kugler, Omer F. Rana, Daniel S. Katz:
A social content delivery network for e-Science. Concurr. Comput. Pract. Exp. 29(4) (2017) - [j29]Shantenu Jha, Daniel S. Katz, André Luckow, Neil P. Chue Hong, Omer F. Rana, Yogesh Simmhan:
Introducing distributed dynamic data-intensive (D3) science: Understanding applications and infrastructure. Concurr. Comput. Pract. Exp. 29(8) (2017) - [j28]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:
Engineering Academic Software (Dagstuhl Perspectives Workshop 16252). Dagstuhl Manifestos 6(1): 1-20 (2017) - [j27]Daniel S. Katz, Xiaobo Zhou:
Leading-edge research in cluster, cloud, and grid computing: Best papers from the IEEE/ACM CCGrid 2015 conference. Future Gener. Comput. Syst. 72: 78-80 (2017) - [c51]Matteo Turilli, Yadu Nand Babuji, André Merzky, Ming Tai Ha, Michael Wilde, Daniel S. Katz, Shantenu Jha:
Evaluating Distributed Execution of Workloads. eScience 2017: 276-285 - [c50]E. 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:
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. eScience 2017: 335-344 - [c49]Udit Nangia, Daniel S. Katz:
Understanding Software in Research: Initial Results from Examining Nature and a Call for Collaboration. eScience 2017: 486-487 - [i29]Justin M. Wozniak, Jonathan Ozik, Daniel S. Katz, Michael Wilde:
Streaming supercomputing needs workflow-enabled programming-in-the-large. CoRR abs/1702.07425 (2017) - [i28]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