Frank Würthwein

VLDB 2026 Research / reviewers in the wild / expert

dblp:69/5000 · also Frank K. Würthwein · DBLP profile ↗

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10ranked-venue papers

0as first author

4since 2021 · last 2026

0000-0001-5912-6124ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 5 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 5 · 3 since 2021Systems, architecture and hardware · 4 · 1 since 2021

Year	Publication	Venue	Position
2026	A New Era for the Open Science Data Federation: The Pelican Platform Fabio Andrijauskas, Frank Würthwein	HPDC	2
2025	Ten simple rules for building and maintaining sustainable high-performance computing infrastructure for research in resource-limited settings abstract [No abstract] Ronald Galiwango, Christopher J. Whalen, Grace Kebirungi, Mugume T. Atwine, Rodgers Kimera, Alfred Ssekagiri, Timothy W. Kimbowa, Edward Lukyamuzi, Mike Nsubuga, Lloyd Ssentongo, Henry Mutegeki, John M. Fonner, Frank Würthwein, Ari Berman, Laura B. Okalebo, Meghan Coakley McCarthy, Victor S. Kramer, Mariam Quiñones, Phillip Cruz, Darrell E. Hurt, Maria Y. Giovanni, Nicola J. Mulder, Michael Tartakovsky, Jonathan K. Kayondo, Daudi Jjingo	PLoS Comput. Biol.	13
2021	Expanding IceCube GPU computing into the Clouds abstract The IceCube collaboration relies on GPU compute for many of its needs, including ray tracing simulation and machine learning activities. GPUs are however still a relatively scarce commodity in the scientific resource provider community, so we expanded the available resource pool with GPUs provisioned from the commercial Cloud providers. The provisioned resources were fully integrated into the normal IceCube workload management system through the Open Science Grid (OSG) infrastructure and used CloudBank for budget management. The result was an approximate doubling of GPU wall hours used by IceCube over a period of 2 weeks, adding over 3.1 fp32 EFLOP hours for a price tag of about $58k. This paper describes the setup used and the operational experience. Igor Sfiligoi, Shava Smallen, Frank Würthwein, Nicole Wolter, David Schultz, Benedikt Riedel	e-Science	3
2021	HTCondor data movement at 100 Gbps abstract HTCondor is a major workload management system used in distributed high throughput computing (dHTC) environments, e.g., the Open Science Grid. One of the distinguishing features of HTCondor is the native support for data movement, allowing it to operate without a shared filesystem. Coupling data handling and compute scheduling is both convenient for users and allows for significant infrastructure flexibility but does introduce some limitations. The default HTCondor data transfer mechanism routes both the input and output data through the submission node, making it a potential bottleneck. In this document we show that by using a node equipped with a 100 Gbps network interface (NIC) HTCondor can serve data at up to 90 Gbps, which is sufficient for most current use cases, as it would saturate the border network links of most research universities at the time of writing. Igor Sfiligoi, Frank Würthwein, Thomas A. DeFanti, John J. Graham	e-Science	2
2019	The Evolution of Bits and Bottlenecks in a Scientific Workflow Trying to Keep Up with Technology: Accelerating 4D Image Segmentation Applied to NASA Data abstract In 2016, a team of earth scientists directly engaged a team of computer scientists to identify cyberinfrastructure (CI) approaches that would speed up an earth science workflow. This paper describes the evolution of that workflow as the two teams bridged CI and an image segmentation algorithm to do large scale earth science research. The Pacific Research Platform (PRP) and The Cognitive Hardware and Software Ecosystem Community Infrastructure (CHASE-CI) resources were used to significantly decreased the earth science workflow's wall-clock time from 19.5 days to 53 minutes. The improvement in wall-clock time comes from the use of network appliances, improved image segmentation, deployment of a containerized workflow, and the increase in CI experience and training for the earth scientists. This paper presents a description of the evolving innovations used to improve the workflow, bottlenecks identified within each workflow version, and improvements made within each version of the workflow, over a three-year time period. Scott L. Sellars, Joulien Tatar, Phu Nguyen, Eric Shearer, Soroosh Sorooshian, F. Martin Ralph, John J. Graham, Dmitry Mishin, Kyle Marcus, Ilkay Altintas, Thomas A. DeFanti, Larry Smarr, Camille Crittenden, Frank Würthwein	eScience	14
2011	Experiences Using GlideinWMS and the Corral Frontend across Cyberinfrastructures abstract Even with Grid technologies, the main mode of access for the current High Performance Computing and High Throughput Computing infrastructures today is logging in via ssh. This mode of access locks scientists to particular machines as it is difficult to move the codes and environments between hosts. In this paper we show how switching the resource access mode to a Condor glide in-based overlay can bring together computational resources from multiple cyber infrastructures. This approach provides scientists with a computational infrastructure anchored around the familiar environment of the desktop computer. Additionally, the approach enhances the reliability of applications and workflows by automatically rerouting jobs to functioning infrastructures. Two different science applications were used to demonstrate applicability, one from the field of astronomy and the other one from earth sciences. We demonstrate that a desktop computer is viable as a submit host and central manager for these kind of glide in overlays. However, issues of ease of use and security need to be considered. Mats Rynge, Gideon Juve, Gaurang Mehta, Ewa Deelman, Krista Larson, Burt Holzman, Igor Sfiligoi, Frank Würthwein, G. Bruce Berriman, Scott Callaghan	eScience	8
2011	A Science Driven Production Cyberinfrastructure - the Open Science Grid Mine Altunay, Paul Avery, Kent Blackburn, Brian Bockelman, Michael Ernst, Dan Fraser, Robert Quick, Robert W. Gardner, Sebastien Goasguen, Tanya Levshina, Miron Livny, John McGee, Doug Olson, Ruth Pordes, Maxim Potekhin, Abhishek Singh Rana, Alain J. Roy, Chander Sehgal, Igor Sfiligoi, Frank Würthwein	J. Grid Comput.	20
2010	Distributed Analysis in CMS Alessandra Fanfani, M. Anzar Afaq, Jose Afonso Sanches, Julia Andreeva, Giuseppe Bagliesi, L. A. T. Bauerdick, Stefano Belforte, Patricia Bittencourt Sampaio, Kenneth Bloom, Barry Blumenfeld, Daniele Bonacorsi, Chris Brew, Marco Calloni, Daniele Cesini, Mattia Cinquilli, Giuseppe Codispoti, Jorgen D'Hondt, Danilo N. Dongiovanni, Giacinto Donvito, David Dykstra, Erik Edelmann, Ricky Egeland, Peter Elmer, Giulio Eulisse, Dave Evans, Federica Fanzago, Fabio Farina, Derek Feichtinger, Ian Fisk, Josep Flix, Claudio Grandi, Yuyi Guo, Kalle Happonen, José M. Hernández, Chih-Hao Huang, Kejing Kang, Edward Karavakis, Matthias Kasemann, Carlos Kavka, Akram Khan, Bockjoo Kim, Jukka Klem, Jesper Koivumäki, Thomas Kress, Peter Kreuzer, Tibor Kurca, Valentin Kuznetsov, Stefano Lacaprara, Kati Lassila-Perini, James Letts, Tomas Lindén, Lee Lueking, Joris Maes, Nicolò Magini, Gerhild Maier, Patricia McBride, Simon Metson, Vincenzo Miccio, Sanjay Padhi, Haifeng Pi, Hassen Riahi, Daniel Riley, Paul Rossman, Pablo Saiz, Andrea Sartirana, Andrea Sciabà, Vijay Sekhri, Daniele Spiga, Lassi A. Tuura, Eric Wayne Vaandering, Lukas Vanelderen, Petra Van Mulders, Aresh Vedaee, Ilaria Villella, Eric Wicklund, Tony Wildish, Christoph Wissing, Frank Würthwein	J. Grid Comput.	79
2009	Interoperation of world-wide production e-Science infrastructures abstract Abstract Many production Grid and e‐Science infrastructures have begun to offer services to end‐users during the past several years with an increasing number of scientific applications that require access to a wide variety of resources and services in multiple Grids. Therefore, the Grid Interoperation Now—Community Group of the Open Grid Forum—organizes and manages interoperation efforts among those production Grid infrastructures to reach the goal of a world‐wide Grid vision on a technical level in the near future. This contribution highlights fundamental approaches of the group and discusses open standards in the context of production e‐Science infrastructures. Copyright © 2009 John Wiley & Sons, Ltd. Morris Riedel, Erwin Laure, Thomas Soddemann, Laurence Field, John-Paul Navarro, James Casey, Maarten Litmaath, Jean-Philippe Baud, Birger Koblitz, Charles E. Catlett, Dane Skow, Cindy Zheng, Philip M. Papadopoulos, Mason J. Katz, Neha Sharma 0001, Oxana Smirnova, Balázs Kónya, Peter W. Arzberger, Frank Würthwein, Abhishek Singh Rana, Terrence Martin, M. Wan, Von Welch, Tony Rimovsky, Steven J. Newhouse, Andrea Vanni, Yoshio Tanaka, Yusuke Tanimura, Tsutomu Ikegami, David Abramson 0001, Colin Enticott, Graham Jenkins, Ruth Pordes, Steven Timm, Gidon Moont, Mona Aggarwal, Dave Colling, Olivier van der Aa, Alex Sim, Vijaya Natarajan, Arie Shoshani, Junmin Gu, Gerson Galang, Riccardo Zappi, Luca Magnoni, Vincenzo Ciaschini, Michele Pace, Valerio Venturi, Moreno Marzolla, Paolo Andreetto, Robert Cowles, Shaowen Wang 0001, Yuji Saeki, Hitoshi Sato, Satoshi Matsuoka, Putchong Uthayopas, Somsak Sriprayoonsakul, Oscar Koeroo, Matthew Viljoen, Laura Pearlman, Stephen Pickles, David Wallom, Glenn Moloney, Jerome Lauret, Jim Marsteller, Paul Sheldon, Surya Pathak, Shaun De Witt, Jirí Mencák, Jens Jensen, Matt Hodges, Derek Ross, Sugree Phatanapherom, Gilbert Netzer, Anders Rhod Gregersen, Mike Jones 0002, Péter Kacsuk, Achim Streit, Daniel Mallmann, Felix Wolf 0001, Thomas Lippert, Thierry Delaitre, Eduardo Huedo, Neil Geddes	Concurr. Comput. Pract. Exp.	19
2006	Division of Labor: Tools for Growing and Scaling Grids Timothy Freeman 0001, Kate Keahey, Ian T. Foster, Abhishek Singh Rana, Borja Sotomayor, Frank Würthwein	ICSOC	6