The Program Counter Security Model: Automatic Detection and Removal of Control-Flow Side Channel Attacks. - David Molnar; Matt Piotrowski; David Schultz; David A. Wagner 001 (IACR Cryptol. ePrint Arch., 2005)

10 usability tips & tricks for testing mobile applications. - David Schultz (Interactions, 2006)

Techniques for the analysis of trichome Pelagonium xhortorum expressed sequence tags. - Joseph Morris; Eric C. Rouchka; David Schultz (BMC Bioinform., 2008)

BestTime: Finding Representatives in Time Series Datasets. - Stephan Spiegel; David Schultz; Sahin Albayrak (ECML/PKDD (3), 2014)

The IceProd framework: Distributed data processing for the IceCube neutrino observatory. - Mark G. Aartsen; Rasha U. Abbasi; Markus Ackermann 003; Jenni Adams; Juan Antonio Aguilar Sánchez; Markus Ahlers; David Altmann; Carlos A. Argüelles Delgado; Jan Auffenberg; Xinhua Bai; Michael F. Baker; Steven W. Barwick; et al. (J. Parallel Distributed Comput., 2015)

A Reduction Theorem for the Sample Mean in Dynamic Time Warping Spaces. - Brijnesh J. Jain; David Schultz (CoRR, 2016)

Optimal Warping Paths are unique for almost every pair of Time Series. - Brijnesh J. Jain; David Schultz (CoRR, 2017)

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; et al. (NSDI, 2018)

Asymmetric learning vector quantization for efficient nearest neighbor classification in dynamic time warping spaces. - Brijnesh J. Jain; David Schultz (Pattern Recognit., 2018)

Nonsmooth analysis and subgradient methods for averaging in dynamic time warping spaces. - David Schultz; Brijnesh J. Jain (Pattern Recognit., 2018)

Photon Propagation using GPUs by the IceCube Neutrino Observatory. - Dmitry Chirkin; Juan Carlos Díaz-Vélez; Claudio Kopper; Alexander R. Olivas; Benedikt Riedel; Martin Rongen; David Schultz; Jakob van Santen (eScience, 2019)

IceCube's Long Term Archive Software. - Patrick Meade; Benedikt Riedel; David Schultz (PEARC, 2019)

Exact mean computation in dynamic time warping spaces. - Markus Brill; Till Fluschnik; Vincent Froese; Brijnesh J. Jain; Rolf Niedermeier; David Schultz (Data Min. Knowl. Discov., 2019)

Running a Pre-exascale, Geographically Distributed, Multi-cloud Scientific Simulation. - Igor Sfiligoi; Frank Würthwein; Benedikt Riedel; David Schultz (ISC, 2020)

Demonstrating a Pre-Exascale, Cost-Effective Multi-Cloud Environment for Scientific Computing: Producing a fp32 ExaFLOP hour worth of IceCube simulation data in a single workday. - Igor Sfiligoi; David Schultz; Benedikt Riedel; Frank Würthwein; Steve Barnet; Vladimir Brik (PEARC, 2020)

Sufficient conditions for the existence of a sample mean of time series under dynamic time warping. - Brijnesh J. Jain; David Schultz (Ann. Math. Artif. Intell., 2020)

Demonstrating a Pre-Exascale, Cost-Effective Multi-Cloud Environment for Scientific Computing. - Igor Sfiligoi; David Schultz; Benedikt Riedel; Frank Würthwein; Steve Barnet; Vladimir Brik (CoRR, 2020)

Expanding IceCube GPU computing into the Clouds. - Igor Sfiligoi; Shava Smallen; Frank Würthwein; Nicole Wolter; David Schultz; Benedikt Riedel (e-Science, 2021)

Managing Cloud networking costs for data-intensive applications by provisioning dedicated network links. - Igor Sfiligoi; Michael Hare; David Schultz; Frank Würthwein; Benedikt Riedel; Tom Hutton; Steve Barnet; Vladimir Brik (PEARC, 2021)

Pushing the Cloud Limits in Support of IceCube Science. - Igor Sfiligoi; David Schultz; Frank Würthwein; Benedikt Riedel; Ewa Deelman (IEEE Internet Comput., 2021)

The anachronism of whole-GPU accounting. - Igor Sfiligoi; David Schultz; Frank Würthwein; Benedikt Riedel; Dmitry Mishin (PEARC, 2022)

Accelerating IceCube's Photon Propagation Code with CUDA. - Hendrik Schwanekamp; Ramona Hohl; Dmitry Chirkin; Tom Gibbs; Alexander Harnisch; Claudio Kopper; Peter Messmer; Vishal Mehta; Alexander R. Olivas; Benedikt Riedel; Martin Rongen; David Schultz; et al. (Comput. Softw. Big Sci., 2022)

Family-Based and Product-Based Development of Correct-by-Construction Software Product Lines. - Tabea Bordis; Tobias Runge; David Schultz; Ina Schaefer (J. Comput. Lang., 2022)

Evaluation of ARM CPUs for IceCube available through Google Kubernetes Engine. - Igor Sfiligoi; David Schultz; Benedikt Riedel; Frank Würthwein (CoRR, 2023)

IceCube experience using XRootD-based Origins with GPU workflows in PNRP. - David Schultz; Igor Sfiligoi; Benedikt Riedel; Fabio Andrijauskas; Derek Weitzel; Frank Würthwein (CoRR, 2023)

Demand-driven provisioning of Kubernetes-like resources in OSG. - Igor Sfiligoi; Frank Würthwein; Jeff Dost; Brian Lin; David Schultz (CoRR, 2023)

An average-compress algorithm for the sample mean problem under dynamic time warping. - Brijnesh J. Jain; Vincent Froese; David Schultz (J. Glob. Optim., 2023)

SuperSONIC: Cloud-Native Infrastructure for ML Inferencing. - Dmitry Kondratyev; Benedikt Riedel; Yuan-Tang Chou; Miles Cochran-Branson; Noah Paladino; David Schultz; Mia Liu; Javier Duarte; Philip Harris; Shih-Chieh Hsu (CoRR, 2025)