GIPSE: Streamlining the Management of Simulation on the Grid. - Justin M. Wozniak; Aaron Striegel; David Salyers; Jesús A. Izaguirre (Annual Simulation Symposium, 2005)

Generosity and gluttony in GEMS: grid enabled molecular simulations. - Justin M. Wozniak; Paul R. Brenner; Douglas Thain; Aaron Striegel; Jesús A. Izaguirre (HPDC, 2005)

Separating Abstractions from Resources in a Tactical Storage System. - Douglas Thain; Sander Klous; Justin M. Wozniak; Paul R. Brenner; Aaron Striegel; Jesús A. Izaguirre (SC, 2005)

Access control for a replica management database. - Justin M. Wozniak; Paul R. Brenner; Douglas Thain (StorageSS, 2006)

Effects of Low-Quality Computation Time Estimates in Policed Schedulers. - Justin M. Wozniak; Yingxin Jiang; Aaron Striegel (Annual Simulation Symposium, 2007)

Overdrive Controllers for Distributed Scientific Computation. - Justin M. Wozniak (CCGRID, 2007)

Biomolecular Path Sampling Enabled by Processing in Network Storage. - Paul R. Brenner; Justin M. Wozniak; Douglas Thain; Aaron Striegel; Jeffrey W. Peng; Jesús A. Izaguirre (IPDPS, 2007)

Making the best of a bad situation: Prioritized storage management in GEMS. - Justin M. Wozniak; Paul R. Brenner; Douglas Thain; Aaron Striegel; Jesús A. Izaguirre (Future Gener. Comput. Syst., 2008)

Biomolecular committor probability calculation enabled by processing in network storage. - Paul R. Brenner; Justin M. Wozniak; Douglas Thain; Aaron Striegel; Jeffrey W. Peng; Jesús A. Izaguirre (Parallel Comput., 2008)

Implementing Reliable Data Structures for MPI Services in High Component Count Systems. - Justin M. Wozniak; Bryan Jacobs; Robert Latham; Samuel Lang; Seung Woo Son 001; Robert B. Ross (PVM/MPI, 2009)

Distributed object storage rebuild analysis via simulation with GOBS. - Justin M. Wozniak; Seung Woo Son 001; Robert B. Ross (DSN Workshops, 2010)

JETS: Language and System Support for Many-Parallel-Task Computing. - Justin M. Wozniak; Michael Wilde (ICPP Workshops, 2011)

Coasters: Uniform Resource Provisioning and Access for Clouds and Grids. - Mihael Hategan; Justin M. Wozniak; Ketan Maheshwari (UCC, 2011)

Swift: A language for distributed parallel scripting. - Michael Wilde; Mihael Hategan; Justin M. Wozniak; Ben Clifford; Daniel S. Katz; Ian T. Foster (Parallel Comput., 2011)

AESOP: Expressing Concurrency in High-Performance System Software. - Dries Kimpe; Philip H. Carns; Kevin Harms; Justin M. Wozniak; Samuel Lang; Robert B. Ross (NAS, 2012)

A Case for Optimistic Coordination in HPC Storage Systems. - Philip H. Carns; Kevin Harms; Dries Kimpe; Robert B. Ross; Justin M. Wozniak; Lee Ward; Matthew L. Curry; Ruth Klundt; Geoff Danielson; Cengiz Karakoyunlu; John A. Chandy; Bradley Settlemeyer; et al. (SC Companion, 2012)

Design and analysis of data management in scalable parallel scripting. - Zhao Zhang 007; Daniel S. Katz; Justin M. Wozniak; Allan Espinosa; Ian T. Foster (SC, 2012)

Turbine: a distributed-memory dataflow engine for extreme-scale many-task applications. - Justin M. Wozniak; Timothy G. Armstrong; Ketan Maheshwari; Ewing L. Lusk; Daniel S. Katz; Michael Wilde; Ian T. Foster (SWEET@SIGMOD, 2012)

Many-Task Computing and Blue Waters - Daniel S. Katz; Timothy G. Armstrong; Zhao Zhang 007; Michael Wilde; Justin M. Wozniak (CoRR, 2012)

Evaluating Cloud Computing Techniques for Smart Power Grid Design Using Parallel Scripting. - Ketan Maheshwari; Ken Birman; Justin M. Wozniak; Devin Van Zandt (CCGRID, 2013)

Swift/T: Large-Scale Application Composition via Distributed-Memory Dataflow Processing. - Justin M. Wozniak; Timothy G. Armstrong; Michael Wilde; Daniel S. Katz; Ewing L. Lusk; Ian T. Foster (CCGRID, 2013)

Enabling multi-task computation on Galaxy-based gateways using swift. - Ketan Maheshwari; Alex A. Rodriguez; David Kelly; Ravi K. Madduri; Justin M. Wozniak; Michael Wilde; Ian T. Foster (CLUSTER, 2013)

MTC envelope: defining the capability of large scale computers in the context of parallel scripting applications. - Zhao Zhang 007; Daniel S. Katz; Michael Wilde; Justin M. Wozniak; Ian T. Foster (HPDC, 2013)

Swift/T: scalable data flow programming for many-task applications. - Justin M. Wozniak; Timothy G. Armstrong; Michael Wilde; Daniel S. Katz; Ewing L. Lusk; Ian T. Foster (PPoPP, 2013)

Dataflow coordination of data-parallel tasks via MPI 3.0. - Justin M. Wozniak; Tom Peterka; Timothy G. Armstrong; James Dinan; Ewing L. Lusk; Michael Wilde; Ian T. Foster (EuroMPI, 2013)

Parallelizing the execution of sequential scripts. - Zhao Zhang 007; Daniel S. Katz; Timothy G. Armstrong; Justin M. Wozniak; Ian T. Foster (SC, 2013)

Reusability in Science: From Initial User Engagement to Dissemination of Results. - Ketan Maheshwari; David Kelly; Scott J. Krieder; Justin M. Wozniak; Daniel S. Katz; Mei Zhi-Gang; Mainak Mookherjee (CoRR, 2013)

Turbine: A Distributed-memory Dataflow Engine for High Performance Many-task Applications. - Justin M. Wozniak; Timothy G. Armstrong; Ketan Maheshwari; Ewing L. Lusk; Daniel S. Katz; Michael Wilde; Ian T. Foster (Fundam. Informaticae, 2013)

JETS: Language and System Support for Many-Parallel-Task Workflows. - Justin M. Wozniak; Michael Wilde; Daniel S. Katz (J. Grid Comput., 2013)

Big Data Staging with MPI-IO for Interactive X-ray Science. - Justin M. Wozniak; Hemant Sharma; Timothy G. Armstrong; Michael Wilde; Jonathan D. Almer; Ian T. Foster (BDC, 2014)

Compiler Optimization for Extreme-Scale Scripting. - Timothy G. Armstrong; Justin M. Wozniak; Michael Wilde; Ian T. Foster (CCGRID, 2014)

Networking Materials Data: Accelerating Discovery at Experimental Facilities. - Ian T. Foster; Rachana Ananthakrishnan; Ben Blaiszik; Kyle Chard; Ray Osborn; Steven Tuecke; Michael Wilde; Justin M. Wozniak (High Performance Computing Workshop, 2014)

Design and evaluation of the gemtc framework for GPU-enabled many-task computing. - Scott J. Krieder; Justin M. Wozniak; Timothy G. Armstrong; Michael Wilde; Daniel S. Katz; Benjamin Grimmer; Ian T. Foster; Ioan Raicu (HPDC, 2014)

Evaluating storage systems for scientific data in the cloud. - Ketan Maheshwari; Justin M. Wozniak; Hao Yang 039; Daniel S. Katz; Matei Ripeanu; Victor M. Zavala; Michael Wilde (ScienceCloud@HPDC, 2014)

Compiler Techniques for Massively Scalable Implicit Task Parallelism. - Timothy G. Armstrong; Justin M. Wozniak; Michael Wilde; Ian T. Foster (SC, 2014)

Petascale Tcl with NAMD, VMD, and Swift/T. - James C. Phillips; John E. Stone; Kirby L. Vandivort; Timothy G. Armstrong; Justin M. Wozniak; Michael Wilde; Klaus Schulten (HPTCDL@SC, 2014)

Big Data Remote Access Interfaces for Light Source Science. - Justin M. Wozniak; Kyle Chard; Ben Blaiszik; Ray Osborn; Michael Wilde; Ian T. Foster (BDC, 2015)

Toward Interlanguage Parallel Scripting for Distributed-Memory Scientific Computing. - Justin M. Wozniak; Timothy G. Armstrong; Ketan C. Maheshwari; Daniel S. Katz; Michael Wilde; Ian T. Foster (CLUSTER, 2015)

Porting Ordinary Applications to Blue Gene/Q Supercomputers. - Ketan Maheshwari; Justin M. Wozniak; Timothy G. Armstrong; Daniel S. Katz; T. Andrew Binkowski; Xiaoliang Zhong; Olle Heinonen; Dmitry Karpeyev; Michael Wilde (e-Science, 2015)

Lessons Learned from Building In Situ Coupling Frameworks. - Matthieu Dorier; Matthieu Dreher; Tom Peterka; Justin M. Wozniak; Gabriel Antoniu; Bruno Raffin (ISAV@SC, 2015)

Interlanguage parallel scripting for distributed-memory scientific computing. - Justin M. Wozniak; Timothy G. Armstrong; Ketan Maheshwari; Daniel S. Katz; Michael Wilde; Ian T. Foster (WORKS@SC, 2015)

Challenges and Opportunities for Dataflow Processing on Exascale Computers. - Justin M. Wozniak; Michael Wilde; Ian T. Foster (DFM@PACT, 2016)

Flexible Data-Aware Scheduling for Workflows over an In-memory Object Store. - Francisco Rodrigo Duro; Javier García Blas; Florin Isaila; Justin M. Wozniak; Jesús Carretero 001; Robert B. Ross (CCGrid, 2016)

From desktop to Large-Scale Model Exploration with Swift/T. - Jonathan Ozik; Nicholson T. Collier; Justin M. Wozniak; Carmine Spagnuolo (WSC, 2016)

Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. - Ian T. Foster; Mark Ainsworth; Bryce Allen; Julie Bessac; Franck Cappello; Jong Youl Choi; Emil M. Constantinescu; Philip E. Davis; Sheng Di; Zichao Wendy Di; Hanqi Guo 001; Scott Klasky; et al. (Euro-Par, 2017)

Supporting task-level fault-tolerance in HPC workflows by launching MPI jobs inside MPI jobs. - Matthieu Dorier; Justin M. Wozniak; Robert B. Ross (WORKS@SC, 2017)

Report on the first workshop on negative and null results in eScience. - Ketan Maheshwari; Daniel S. Katz; Sílvia Delgado Olabarriaga; Justin M. Wozniak; Douglas Thain (Concurr. Comput. Pract. Exp., 2017)

Streaming supercomputing needs workflow-enabled programming-in-the-large. - Justin M. Wozniak; Jonathan Ozik; Daniel S. Katz; Michael Wilde (CoRR, 2017)

Experimental evaluation of a flexible I/O architecture for accelerating workflow engines in ultrascale environments. - Francisco Rodrigo Duro; Francisco Javier García Blas; Florin Isaila; Jesús Carretero 001; Justin M. Wozniak; Robert B. Ross (Parallel Comput., 2017)

Parsl: Scalable Parallel Scripting in Python. - Yadu N. Babuji; Kyle Chard; Ian T. Foster; Daniel S. Katz; Mike Wilde; Anna Woodard; Justin M. Wozniak (IWSG, 2018)

Methodology for the Rapid Development of Scalable HPC Data Services. - Matthieu Dorier; Philip H. Carns; Kevin Harms; Robert Latham; Robert B. Ross; Shane Snyder; Justin M. Wozniak; Samuel K. Gutierrez; Robert W. Robey; Brad Settlemyer; Galen M. Shipman; Jérome Soumagne; et al. (PDSW-DISCS@SC, 2018)

Toward Understanding I/O Behavior in HPC Workflows. - Jakob Lüttgau; Shane Snyder; Philip H. Carns; Justin M. Wozniak; Julian M. Kunkel; Thomas Ludwig 002 (PDSW-DISCS@SC, 2018)

Portable and Reusable Deep Learning Infrastructure with Containers to Accelerate Cancer Studies. - George F. Zaki; Justin M. Wozniak; Jonathan Ozik; Nicholson T. Collier; Thomas S. Brettin; Rick Stevens (ESPM2@SC, 2018)

High-throughput cancer hypothesis testing with an integrated PhysiCell-EMEWS workflow. - Jonathan Ozik; Nicholson T. Collier; Justin M. Wozniak; Charles M. Macal; Chase Cockrell; Samuel H. Friedman; Ahmadreza Ghaffarizadeh; Randy W. Heiland; Gary An; Paul Macklin (BMC Bioinform., 2018)

CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research. - Justin M. Wozniak; Rajeev Jain; Prasanna Balaprakash; Jonathan Ozik; Nicholson T. Collier; John Bauer; Fangfang Xia; Thomas S. Brettin; Rick Stevens; Jamaludin Mohd-Yusof; Cristina Garcia-Cardona; Brian Van Essen; et al. (BMC Bioinform., 2018)

Extreme-Scale Dynamic Exploration of a Distributed Agent-Based Model With the EMEWS Framework. - Jonathan Ozik; Nicholson T. Collier; Justin M. Wozniak; Charles M. Macal; Gary An (IEEE Trans. Comput. Soc. Syst., 2018)

Parsl: Pervasive Parallel Programming in Python. - 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 (HPDC, 2019)

Performance, Energy, and Scalability Analysis and Improvement of Parallel Cancer Deep Learning CANDLE Benchmarks. - Xingfu Wu; Valerie E. Taylor; Justin M. Wozniak; Rick Stevens; Thomas S. Brettin; Fangfang Xia (ICPP, 2019)

Understanding Scalability and Fine-Grain Parallelism of Synchronous Data Parallel Training. - Jiali Li; Bogdan Nicolae; Justin M. Wozniak; George Bosilca (MLHPC@SC, 2019)

MPI jobs within MPI jobs: A practical way of enabling task-level fault-tolerance in HPC workflows. - Justin M. Wozniak; Matthieu Dorier; Robert B. Ross; Tong Shu; Tahsin M. Kurç; Li Tang 007; Norbert Podhorszki; Matthew Wolf (Future Gener. Comput. Syst., 2019)

DeepFreeze: Towards Scalable Asynchronous Checkpointing of Deep Learning Models. - Bogdan Nicolae; Jiali Li; Justin M. Wozniak; George Bosilca; Matthieu Dorier; Franck Cappello (CCGRID, 2020)

DeepClone: Lightweight State Replication of Deep Learning Models for Data Parallel Training. - Bogdan Nicolae; Justin M. Wozniak; Matthieu Dorier; Franck Cappello (CLUSTER, 2020)

High-bypass Learning: Automated Detection of Tumor Cells That Significantly Impact Drug Response. - Justin M. Wozniak; Hyun Seung Yoo; Jamaludin Mohd-Yusof; Bogdan Nicolae; Nicholson T. Collier; Jonathan Ozik; Thomas S. Brettin; Rick Stevens (MLHPC/AI4S@SC, 2020)

In-situ Workflow Auto-tuning via Combining Performance Models of Component Applications. - Tong Shu; Yanfei Guo; Justin M. Wozniak; Xiaoning Ding; Ian T. Foster; Tahsin M. Kurç (CoRR, 2020)

In-situ workflow auto-tuning through combining component models. - Tong Shu; Yanfei Guo; Justin M. Wozniak; Xiaoning Ding; Ian T. Foster; Tahsin M. Kurç (PPoPP, 2021)

Bootstrapping in-situ workflow auto-tuning via combining performance models of component applications. - Tong Shu; Yanfei Guo; Justin M. Wozniak; Xiaoning Ding; Ian T. Foster; Tahsin M. Kurç (SC, 2021)

Braid-DB: Toward AI-Driven Science with Machine Learning Provenance. - Justin M. Wozniak; Zhengchun Liu; Rafael Vescovi; Ryan Chard; Bogdan Nicolae; Ian T. Foster (SMC, 2021)

ExaWorks: Workflows for Exascale. - Aymen Al-Saadi; Dong H. Ahn; Yadu N. Babuji; Kyle Chard; James Corbett; Mihael Hategan; Stephen Herbein; Shantenu Jha; Daniel E. Laney; André Merzky; Todd S. Munson; Michael Salim; et al. (WORKS, 2021)

Workflows Community Summit: Bringing the Scientific Workflows Community Together. - 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; et al. (CoRR, 2021)

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. - 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; et al. (CoRR, 2021)

ExaWorks: Workflows for Exascale. - Aymen Al-Saadi; Dong H. Ahn; Yadu N. Babuji; Kyle Chard; James Corbett; Mihael Hategan; Stephen Herbein; Shantenu Jha; Daniel E. Laney; André Merzky; Todd S. Munson; Michael Salim; et al. (CoRR, 2021)

Online data analysis and reduction: An important Co-design motif for extreme-scale computers. - Ian T. Foster; Mark Ainsworth; Julie Bessac; Franck Cappello; Jong Choi 001; Sheng Di; Zichao Wendy Di; Ali Murat Gok; Hanqi Guo 001; Kevin A. Huck; Christopher Kelly; Scott Klasky; et al. (Int. J. High Perform. Comput. Appl., 2021)

A population data-driven workflow for COVID-19 modeling and learning. - Jonathan Ozik; Justin M. Wozniak; Nicholson T. Collier; Charles M. Macal; Mickaël Binois (Int. J. High Perform. Comput. Appl., 2021)

Tracking Dubious Data: Protecting Scientific Workflows from Invalidated Experiments. - Jim Pruyne; Justin M. Wozniak; Ian T. Foster (e-Science, 2022)

Large Scale Caching and Streaming of Training Data for Online Deep Learning. - Jie Liu; Bogdan Nicolae; Dong Li 001; Justin M. Wozniak; Tekin Bicer; Zhengchun Liu; Ian T. Foster (FlexScience@HPDC, 2022)

WfBench: Automated Generation of Scientific Workflow Benchmarks. - Tainã Coleman; Henri Casanova; Ketan Maheshwari; Loïc Pottier; Sean R. Wilkinson; Justin M. Wozniak; Frédéric Suter; Mallikarjun Shankar; Rafael Ferreira da Silva (PMBS@SC, 2022)

A cross-study analysis of drug response prediction in cancer cell lines. - Fangfang Xia; Jonathan E. Allen; Prasanna Balaprakash; Thomas S. Brettin; Cristina Garcia-Cardona; Austin Clyde; Judith D. Cohn; James H. Doroshow; Xiaotian Duan; Veronika Dubinkina; Yvonne A. Evrard; Ya Ju Fan; et al. (Briefings Bioinform., 2022)

PSI/J: A Portable Interface for Submitting, Monitoring, and Managing Jobs. - Mihael Hategan-Marandiuc; André Merzky; Nicholson T. Collier; Ketan Maheshwari; Jonathan Ozik; Matteo Turilli; Andreas Wilke; Justin M. Wozniak; Kyle Chard; Ian T. Foster; Rafael Ferreira da Silva; Shantenu Jha; et al. (e-Science, 2023)

An Automation Framework for Comparison of Cancer Response Models Across Configurations. - Justin M. Wozniak; Rajeev Jain; Andreas Wilke; Rylie Weaver; Alexander Partin; Thomas S. Brettin; Rick Stevens (e-Science, 2023)

Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis. - Nicholson T. Collier; Justin M. Wozniak; Abby Stevens; Yadu N. Babuji; Mickaël Binois; Arindam Fadikar; Alexandra Würth; Kyle Chard; Jonathan Ozik (IPDPS Workshops, 2023)

NSF RESUME HPC Workshop: High-Performance Computing and Large-Scale Data Management in Service of Epidemiological Modeling. - Abby Stevens; Jonathan Ozik; Kyle Chard; Jaline Gerardin; Justin M. Wozniak (CoRR, 2023)

Diaspora: Resilience-Enabling Services for Real-Time Distributed Workflows. - Bogdan Nicolae; Justin M. Wozniak; Tekin Bicer; Hai Nguyen; Parth Patel; Haochen Pan; Amal Gueroudji; Maxime Gonthier; Valérie Hayot-Sasson; Eliu A. Huerta; Kyle Chard; Ryan Chard; et al. (e-Science, 2024)

Distributed Model Exploration with EMEWS. - Nicholson T. Collier; Justin M. Wozniak; Arindam Fadikar; Abby Stevens; Jonathan Ozik (WSC, 2024)

Steering a Fleet: Adaptation for Large-Scale, Workflow-Based Experiments. - Jim Pruyne; Valérie Hayot-Sasson; Weijian Zheng; Ryan Chard; Justin M. Wozniak; Tekin Bicer; Kyle Chard; Ian T. Foster (CoRR, 2024)

ExaWorks Software Development Kit: A Robust and Scalable Collection of Interoperable Workflow Technologies. - Matteo Turilli; Mihael Hategan-Marandiuc; Mikhail Titov; Ketan Maheshwari; Aymen Alsaadi; André Merzky; Ramon Arambula; Mikhail Zakharchanka; Matt Cowan; Justin M. Wozniak; Andreas Wilke; Ozgur Ozan Kilic; et al. (CoRR, 2024)

Exascale Workflow Applications and Middleware: An ExaWorks Retrospective. - Aymen Alsaadi; Mihael Hategan-Marandiuc; Ketan Maheshwari; André Merzky; Mikhail Titov; Matteo Turilli; Andreas Wilke; Justin M. Wozniak; Kyle Chard; Rafael Ferreira da Silva; Shantenu Jha; Daniel E. Laney (CoRR, 2024)

Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis. - Alexander Partin; Priyanka Vasanthakumari; Oleksandr Narykov; Andreas Wilke; Natasha Koussa; Sara E. Jones; Yitan Zhu; Jamie C. Overbeek; Rajeev Jain; Gayara Demini Fernando; Cesar Sanchez-Villalobos; Cristina Garcia-Cardona; et al. (CoRR, 2025)

A terminology for scientific workflow systems. - Frédéric Suter; Tainã Coleman; Ilkay Altintas; Rosa M. Badia; Bartosz Balis; Kyle Chard; Iacopo Colonnelli; Ewa Deelman; Paolo Di Tommaso; Thomas Fahringer; Carole A. Goble; Shantenu Jha; et al. (Future Gener. Comput. Syst., 2026)