David Schultz

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dblp:35/3680 · DBLP profile ↗

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11ranked-venue papers

1as first author

2since 2021 · last 2023

0000-0002-7841-3919ORCID · corroborated

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

Artificial intelligence and machine learning · 3 · 1 first-authorDatabases, data management, data science and information retrieval · 3Applied, interdisciplinary, general and emerging computing · 3 · 1 since 2021Software engineering, systems software and programming languages · 2 · 1 since 2021Systems, architecture and hardware · 1Computer networks · 1Theory of computation · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks 1 paper		Datacenter networks · 100%
Computer architecture, parallel and distributed computing, and storage systems 1 paper		Cloud and datacenter computing · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

Topic	Weight	Papers	Last	Evidence papers
Cloud and datacenter computing › virtualization network virtualization	0.3	1	2018	Andromeda: Performance, Isolation, and Velocity at Scale in Cloud Network Virtualization · NSDI 2018

Year	Publication	Venue	Position
2023	An average-compress algorithm for the sample mean problem under dynamic time warping abstract Abstract Computing a sample mean of time series under dynamic time warping is NP-hard. Consequently, there is an ongoing research effort to devise efficient heuristics. The majority of heuristics have been developed for the constrained sample mean problem that assumes a solution of predefined length. In contrast, research on the unconstrained sample mean problem is underdeveloped. In this article, we propose a generic average-compress (AC) algorithm to address the unconstrained problem. The algorithm alternates between averaging (A-step) and compression (C-step). The A-step takes an initial guess as input and returns an approximation of a sample mean. Then the C-step reduces the length of the approximate solution. The compressed approximation serves as initial guess of the A-step in the next iteration. The purpose of the C-step is to direct the algorithm to more promising solutions of shorter length. The proposed algorithm is generic in the sense that any averaging and any compression method can be used. Experimental results show that the AC algorithm substantially outperforms current state-of-the-art algorithms for time series averaging. Brijnesh J. Jain, Vincent Froese, David Schultz	J. Glob. Optim.	3
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	5
2019	Photon Propagation using GPUs by the IceCube Neutrino Observatory abstract IceCube Neutrino Observatory is a cubic kilometer neutrino detector located at the South Pole designed to detect high-energy astrophysical neutrinos. To thoroughly understand the detected neutrinos and their properties, the detector response to simulated signal and background has to be modeled using Monte Carlo techniques. An integral part of these studies are the optical properties of the ice the observatory is built into. The propagation of individual photons from particles produced by neutrino interactions in the ice can be greatly accelerated using graphics processing units (GPUs). In this paper, we will describe how we perform the photon propagation and create a global pool of GPU resources for both production and individual users. Dmitry Chirkin, Juan Carlos Díaz-Vélez, Claudio Kopper, Alex Olivas, Benedikt Riedel, Martin Rongen, David Schultz, Jakob van Santen	eScience	7
2019	Exact mean computation in dynamic time warping spaces abstract Averaging time series under dynamic time warping is an important tool for improving nearest-neighbor classifiers and formulating centroid-based clustering. The most promising approach poses time series averaging as the problem of minimizing a Fréchet function. Minimizing the Fréchet function is NP-hard and so far solved by several heuristics and inexact strategies. Our contributions are as follows: we first discuss some inaccuracies in the literature on exact mean computation in dynamic time warping spaces. Then we propose an exponential-time dynamic program for computing a global minimum of the Fréchet function. The proposed algorithm is useful for benchmarking and evaluating known heuristics. In addition, we present an exact polynomial-time algorithm for the special case of binary time series. Based on the proposed exponential-time dynamic program, we empirically study properties like uniqueness and length of a mean, which are of interest for devising better heuristics. Experimental evaluations indicate substantial deficits of state-of-the-art heuristics in terms of their output quality. Markus Brill, Till Fluschnik, Vincent Froese, Brijnesh J. Jain, Rolf Niedermeier, David Schultz	Data Min. Knowl. Discov.	6
2018	Andromeda: Performance, Isolation, and Velocity at Scale in Cloud Network Virtualization Michael Dalton, David Schultz, Jacob Adriaens, Ahsan Arefin, Anshuman Gupta, Brian Fahs, Dima Rubinstein, Enrique Cauich Zermeno, Erik Rubow, James Alexander Docauer, Jesse Alpert, Jing Ai, Jon Olson, Kevin DeCabooter, Marc de Kruijf, Nan Hua, Nathan Lewis, Nikhil Kasinadhuni, Riccardo Crepaldi, Srinivas Krishnan, Subbaiah Venkata, Yossi Richter, Uday Naik, Amin Vahdat	NSDI	2
2018	Exact Mean Computation in Dynamic Time Warping Spaces Markus Brill, Till Fluschnik, Vincent Froese, Brijnesh J. Jain, Rolf Niedermeier, David Schultz	SDM	6
2018	Asymmetric learning vector quantization for efficient nearest neighbor classification in dynamic time warping spaces Brijnesh J. Jain, David Schultz	Pattern Recognit.	2
2018	Nonsmooth analysis and subgradient methods for averaging in dynamic time warping spaces David Schultz, Brijnesh J. Jain	Pattern Recognit.	1
2015	The IceProd framework: Distributed data processing for the IceCube neutrino observatory Mark G. Aartsen, Rasha U. Abbasi, Markus Ackermann 0003, Jenni Adams, Juan Antonio Aguilar Sánchez, Markus Ahlers, David Altmann, Carlos A. Argüelles Delgado, Jan Auffenberg, Xinhua Bai, Michael F. Baker, Steven W. Barwick, Volker Baum, Ryan Bay, James J. Beatty, Julia K. Becker Tjus, Karl-Heinz Becker, Segev BenZvi, Patrick Berghaus, David Berley, Elisa Bernardini, Anna Bernhard, David Z. Besson, G. Binder, Daniel Bindig, Martin Bissok, Erik Blaufuss, Jan Blumenthal, David J. Boersma, Christian Bohm, Debanjan Bose, Sebastian Böser, Olga Botner, Lionel Brayeur, Hans-Peter Bretz, Anthony M. Brown, Ronald Bruijn, James Casey, Martin Casier, Dmitry Chirkin, Asen Christov, Brian John Christy, Ken Clark, Lew Classen, Fabian Clevermann, Stefan Coenders, Shirit Cohen, Doug F. Cowen, Angel H. Cruz Silva, Matthias Danninger, Jacob Daughhetee, James C. Davis 0002, Melanie Day, Catherine De Clercq, Sam De Ridder, Paolo Desiati, Krijn D. de Vries, Meike de With, Tyce DeYoung, Juan Carlos Díaz-Vélez, Matthew Dunkman, Ryan Eagan, Benjamin Eberhardt, Björn Eichmann, Jonathan Eisch, Sebastian Euler, Paul A. Evenson, Oladipo O. Fadiran, Ali R. Fazely, Anatoli Fedynitch, Jacob Feintzeig, Tom Feusels, Kirill Filimonov, Chad Finley, Tobias Fischer-Wasels, Samuel Flis, Anna Franckowiak, Katharina Frantzen, Tomasz Fuchs, Thomas K. Gaisser, Joseph S. Gallagher, Lisa Gerhardt, Laura E. Gladstone, Thorsten Glüsenkamp, Azriel Goldschmidt, Geraldina Golup, Javier G. González, Jordan A. Goodman, Dariusz Góra, Dylan T. Grandmont, Darren Grant, Pavel Gretskov, John C. Groh, Andreas Groß, Chang Hyon Ha, Abd Al Karim Haj Ismail, Patrick Hallen, Allan Hallgren, Francis Halzen, Kael D. Hanson, Dustin Hebecker, David Heereman, Dirk Heinen, Klaus Helbing, Robert Eugene Hellauer III, Stephanie Virginia Hickford, Gary C. Hill, Kara D. Hoffman, Ruth Hoffmann, Andreas Homeier, Kotoyo Hoshina, Feifei Huang, Warren Huelsnitz, Per Olof Hulth, Klas Hultqvist, Aya Ishihara, Emanuel Jacobi, John E. Jacobsen, Kai Jagielski, George S. Japaridze, Kyle Jero, Ola Jlelati, Basho Kaminsky, Alexander Kappes, Timo Karg, Albrecht Karle, Matthew Kauer, John Lawrence Kelley, Joanna Kiryluk, J. Kläs, Spencer R. Klein, Jan-Hendrik Köhne, Georges Kohnen, Hermann Kolanoski, Lutz Köpke, Claudio Kopper, Sandro Kopper, D. Jason Koskinen, Marek Kowalski, Mark Krasberg, Anna Kriesten, Kai Michael Krings, Gösta Kroll, Jan Kunnen, Naoko Kurahashi, Takao Kuwabara, Mathieu L. M. Labare, Hagar Landsman, Michael James Larson, Mariola Lesiak-Bzdak, Martin Leuermann, Julia Leute, Jan Lünemann, Oscar A. Macías-Ramírez, James Madsen, Giuliano Maggi, Reina Maruyama, Keiichi Mase, Howard S. Matis, Frank McNally, Kevin James Meagher, Martin Merck, Gonzalo Merino, Thomas Meures, Sandra Miarecki, Eike Middell, Natalie Milke, John Lester Miller, Lars Mohrmann, Teresa Montaruli, Robert M. Morse, Rolf Nahnhauer, Uwe Naumann, Hans Niederhausen, Sarah C. Nowicki, David R. Nygren, Anna Pollmann, Sirin Odrowski, Alex Olivas, Ahmad Omairat, Aongus Starbuck Ó Murchadha, Larissa Paul, Joshua A. Pepper, Carlos Pérez de los Heros, Carl Pfendner, Damian Pieloth, Elisa Pinat, Jonas Posselt, P. Buford Price, Gerald T. Przybylski, Melissa Quinnan, Leif Rädel, Ian Rae, Mohamed Rameez, Katherine Rawlins, Peter Christian Redl, René Reimann, Elisa Resconi, Wolfgang Rhode, Mathieu Ribordy, Michael Richman, Benedikt Riedel, J. P. Rodrigues, Carsten Rott, Tim Ruhe, Bakhtiyar Ruzybayev, Dirk Ryckbosch, Sabine M. Saba, Heinz-Georg Sander, Juan Marcos Santander, Subir Sarkar 0002, Kai Schatto, Florian Scheriau, Torsten Schmidt, Martin Schmitz 0004, Sebastian Schoenen, Sebastian Schöneberg, Arne Schönwald, Anne Schukraft, Lukas Schulte, David Schultz, Olaf Schulz, David Seckel, Yolanda Sestayo de la Cerra, Surujhdeo Seunarine, Rezo Shanidze, Chris Sheremata, Miles W. E. Smith, Dennis Soldin, Glenn M. Spiczak, Christian Spiering, Michael Stamatikos, Todor Stanev, Nick A. Stanisha, Alexander Stasik, Thorsten Stezelberger, Robert G. Stokstad, Achim Stößl, Erik A. Strahler, Rickard Ström, Nora Linn Strotjohann, Gregory W. Sullivan, Henric Taavola, Ignacio J. Taboada, Alessio Tamburro, Andreas Tepe, Samvel Ter-Antonyan, Gordana Tesic, Serap Tilav, Patrick A. Toale, Moriah Natasha Tobin, Simona Toscano, Maria Tselengidou, Elisabeth Unger, Marcel Usner, Sofia Vallecorsa, Nick van Eijndhoven, Arne Van Overloop, Jakob van Santen, Markus Vehring, Markus Voge, Matthias Vraeghe, Christian Walck, Tilo Waldenmaier, Marius Wallraff, Christopher Weaver 0001, Mark T. Wellons, Christopher H. Wendt, Stefan Westerhoff, Nathan Whitehorn, Klaus Wiebe, Christopher H. Wiebusch, Dawn R. Williams, Henrike Wissing, Martin Wolf 0007, Terri R. Wood, Kurt Woschnagg, Donglian Xu, Xianwu Xu, Juan Pablo Yáñez, Gaurang B. Yodh, Shigeru Yoshida, Pavel Zarzhitsky, Jan Ziemann, Simon Zierke, Marcel Zoll	J. Parallel Distributed Comput.	222
2014	BestTime: Finding Representatives in Time Series Datasets Stephan Spiegel, David Schultz, Sahin Albayrak	ECML/PKDD (3)	2
2008	Techniques for the analysis of trichome Pelagonium xhortorum expressed sequence tags Joseph Morris, Eric C. Rouchka, David Schultz	BMC Bioinform.	3