Flexible IO and integration for scientific codes through the adaptable IO system (ADIOS). - Jay F. Lofstead; Scott Klasky; Karsten Schwan; Norbert Podhorszki; Chen Jin (CLADE, 2008)

High Throughput Data Movement. - Scott Klasky; Hasan Abbasi; Viraj Bhat; Ciprian Docan; Steve Hodson; Chen Jin; Jay F. Lofstead; Manish Parashar; Karsten Schwan; Matthew Wolf (Scientific Data Management, 2009)

Extending I/O through high performance data services. - Hasan Abbasi; Jay F. Lofstead; Fang Zheng 003; Karsten Schwan; Matthew Wolf; Scott Klasky (CLUSTER, 2009)

Adaptable, metadata rich IO methods for portable high performance IO. - Jay F. Lofstead; Fang Zheng 003; Scott Klasky; Karsten Schwan (IPDPS, 2009)

Plasma fusion code coupling using scalable I/O services and scientific workflows. - Norbert Podhorszki; Scott Klasky; Qing Liu 002; Ciprian Docan; Manish Parashar; Hasan Abbasi; Jay F. Lofstead; Karsten Schwan; Matthew Wolf; Fang Zheng 003; Julian Cummings (SC-WORKS, 2009)

PreDatA - preparatory data analytics on peta-scale machines. - Fang Zheng 003; Hasan Abbasi; Ciprian Docan; Jay F. Lofstead; Qing Liu 002; Scott Klasky; Manish Parashar; Norbert Podhorszki; Karsten Schwan; Matthew Wolf (IPDPS, 2010)

EFFIS: An End-to-end Framework for Fusion Integrated Simulation. - Julian Cummings; Jay F. Lofstead; Karsten Schwan; Alexander Sim; Arie Shoshani; Ciprian Docan; Manish Parashar; Scott Klasky; Norbert Podhorszki; Roselyne Barreto (PDP, 2010)

Managing Variability in the IO Performance of Petascale Storage Systems. - Jay F. Lofstead; Fang Zheng 003; Qing Liu 002; Scott Klasky; Ron A. Oldfield; Todd Kordenbrock; Karsten Schwan; Matthew Wolf (SC, 2010)

Extreme scale data management in high performance computing. - Gerald Fredrick Lofstead (2010)

EDO: Improving Read Performance for Scientific Applications through Elastic Data Organization. - Yuan Tian 004; Scott Klasky; Hasan Abbasi; Jay F. Lofstead; Ray W. Grout; Norbert Podhorszki; Qing Liu 002; Yandong Wang; Weikuan Yu (CLUSTER, 2011)

Skel: Generative Software for Producing Skeletal I/O Applications. - Jeremy Logan; Scott Klasky; Jay F. Lofstead; Hasan Abbasi; Stéphane Ethier; Ray W. Grout; Seung-Hoe Ku; Qing Liu 002; Xiaosong Ma; Manish Parashar; Norbert Podhorszki; Karsten Schwan; et al. (e-Science Workshops, 2011)

Six degrees of scientific data: reading patterns for extreme scale science IO. - Jay F. Lofstead; Milo Polte; Garth A. Gibson; Scott Klasky; Karsten Schwan; Ron A. Oldfield; Matthew Wolf; Qing Liu 002 (HPDC, 2011)

D2T: Doubly Distributed Transactions for High Performance and Distributed Computing. - Jay F. Lofstead; Jai Dayal; Karsten Schwan; Ron A. Oldfield (CLUSTER, 2012)

Extending MPI to Better Support Multi-application Interaction. - Jay F. Lofstead; Jai Dayal (EuroMPI, 2012)

Trilinos I/O Support (Trios). - Ron A. Oldfield; Gregory D. Sjaardema; Gerald F. Lofstead II; Todd Kordenbrock (Sci. Program., 2012)

Experiences Applying Data Staging Technology in Unconventional Ways. - Jay F. Lofstead; Ron A. Oldfield; Todd Kordenbrock (CCGRID, 2013)

A case of system-wide power management for scientific applications. - Zhuo Liu; Jay F. Lofstead; Teng Wang 001; Weikuan Yu (CLUSTER, 2013)

I/O Containers: Managing the Data Analytics and Visualization Pipelines of High End Codes. - Jai Dayal; Jianting Cao; Greg Eisenhauer; Karsten Schwan; Matthew Wolf; Fang Zheng 003; Hasan Abbasi; Scott Klasky; Norbert Podhorszki; Jay F. Lofstead (IPDPS Workshops, 2013)

Efficient transactions for parallel data movement. - Jay F. Lofstead; Jai Dayal; Ivo Jimenez; Carlos Maltzahn (PDSW@SC, 2013)

Insights for exascale IO APIs from building a petascale IO API. - Jay F. Lofstead; Robert Ross (SC, 2013)

An innovative storage stack addressing extreme scale platforms and Big Data applications. - Jay F. Lofstead; Ivo Jimenez; Carlos Maltzahn; Quincey Koziol; John Bent; Eric Barton (CLUSTER, 2014)

Consistency and Fault Tolerance Considerations for the Next Iteration of the DOE Fast Forward Storage and IO Project. - Jay F. Lofstead; Ivo Jimenez; Carlos Maltzahn (ICPP Workshops, 2014)

IO-Cop: Managing Concurrent Accesses to Shared Parallel File System. - Sagar Thapaliya; Purushotham V. Bangalore; Jay F. Lofstead; Kathryn M. Mohror; Adam Moody (ICPP Workshops, 2014)

Efficient, failure resilient transactions for parallel and distributed computing. - Jay F. Lofstead; Jai Dayal; Ivo Jimenez; Carlos Maltzahn (DISCS@SC, 2014)

Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks. - Qing Liu 002; Jeremy Logan; Yuan Tian 004; Hasan Abbasi; Norbert Podhorszki; Jong Youl Choi; Scott Klasky; Roselyne Tchoua; Jay F. Lofstead; Ron A. Oldfield; Manish Parashar; Nagiza F. Samatova; et al. (Concurr. Comput. Pract. Exp., 2014)

Distributed Versioned Object Storage - Alternatives at the OSD layer (Poster Extended Abstract). - Ivo Jimenez; Carlos Maltzahn; Jay F. Lofstead (CoRR, 2014)

SODA: Science-Driven Orchestration of Data Analytics. - Jai Dayal; Jay F. Lofstead; Greg Eisenhauer; Karsten Schwan; Matthew Wolf; Hasan Abbasi; Scott Klasky (e-Science, 2015)

System-Level Support for Composition of Applications. - Brian Kocoloski; John R. Lange; Hasan Abbasi; David E. Bernholdt; Terry R. Jones; Jai Dayal; Noah Evans; Michael Lang 003; Jay F. Lofstead; Kevin T. Pedretti; Patrick G. Bridges (ROSS@HPDC, 2015)

The Role of Container Technology in Reproducible Computer Systems Research. - Ivo Jimenez; Carlos Maltzahn; Adam Moody; Kathryn M. Mohror; Jay F. Lofstead; Remzi H. Arpaci-Dusseau; Andrea C. Arpaci-Dusseau (IC2E, 2015)

Tackling the reproducibility problem in storage systems research with declarative experiment specifications. - Ivo Jimenez; Carlos Maltzahn; Jay F. Lofstead; Adam Moody; Kathryn M. Mohror; Remzi H. Arpaci-Dusseau; Andrea C. Arpaci-Dusseau (PDSW@SC, 2015)

SuperGlue: Standardizing Glue Components for HPC Workflows. - Jay F. Lofstead; Alexis Champsaur; Jai Dayal; Matthew Wolf; Greg Eisenhauer (CLUSTER, 2016)

Managing I/O Interference in a Shared Burst Buffer System. - Sagar Thapaliya; Purushotham V. Bangalore; Jay F. Lofstead; Kathryn M. Mohror; Adam Moody (ICPP, 2016)

Characterizing and Reducing Cross-Platform Performance Variability Using OS-Level Virtualization. - Ivo Jimenez; Carlos Maltzahn; Jay F. Lofstead; Adam Moody; Kathryn M. Mohror; Remzi H. Arpaci-Dusseau; Andrea C. Arpaci-Dusseau (IPDPS Workshops, 2016)

DAOS and friends: a proposal for an exascale storage system. - Jay F. Lofstead; Ivo Jimenez; Carlos Maltzahn; Quincey Koziol; John Bent; Eric Barton (SC, 2016)

An Overview of the Sirocco Parallel Storage System. - Matthew L. Curry; H. Lee Ward; Geoff Danielson; Jay F. Lofstead (ISC Workshops, 2016)

Delta: Data Reduction for Integrated Application Workflows and Data Storage. - Jay F. Lofstead; Gregory Jean-Baptiste; Ron A. Oldfield (ISC Workshops, 2016)

I Aver: Providing Declarative Experiment Specifications Facilitates the Evaluation of Computer Systems Research. - Ivo Jimenez; Carlos Maltzahn; Jay F. Lofstead; Adam Moody; Kathryn M. Mohror; Remzi H. Arpaci-Dusseau; Andrea C. Arpaci-Dusseau (Adv. Math. Commun., 2016)

Standing on the Shoulders of Giants by Managing Scientific Experiments Like Software. - Ivo Jimenez; Michael Sevilla; Noah Watkins; Carlos Maltzahn; Jay F. Lofstead; Kathryn M. Mohror; Remzi H. Arpaci-Dusseau; Andrea C. Arpaci-Dusseau (login Usenix Mag., 2016)

Predicting Output Performance of a Petascale Supercomputer. - Bing Xie; Yezhou Huang; Jeffrey S. Chase; Jong Youl Choi; Scott Klasky; Jay F. Lofstead; Sarp Oral (HPDC, 2017)

PopperCI: Automated reproducibility validation. - Ivo Jimenez; Andrea C. Arpaci-Dusseau; Remzi H. Arpaci-Dusseau; Jay F. Lofstead; Carlos Maltzahn; Kathryn M. Mohror; Robert Ricci (INFOCOM Workshops, 2017)

Demo abstract: PopperCI: Automated reproducibility validation. - Ivo Jimenez; Sina Hamedian; Jay F. Lofstead; Carlos Maltzahn; Kathryn M. Mohror; Remzi H. Arpaci-Dusseau; Andrea C. Arpaci-Dusseau; Robert Ricci (INFOCOM Workshops, 2017)

SmartBlock: An Approach to Standardizing In Situ Workflow Components. - Alexis Champsaur; Jay F. Lofstead; Jai Dayal; Matthew Wolf; Greg Eisenhauer; Patrick M. Widener; Ada Gavrilovska (IPDPS Workshops, 2017)

The Popper Convention: Making Reproducible Systems Evaluation Practical. - Ivo Jimenez; Michael Sevilla; Noah Watkins; Carlos Maltzahn; Jay F. Lofstead; Kathryn M. Mohror; Andrea C. Arpaci-Dusseau; Remzi H. Arpaci-Dusseau (IPDPS Workshops, 2017)

Empress: extensible metadata provider for extreme-scale scientific simulations. - Margaret Lawson; Craig D. Ulmer; Shyamali Mukherjee; Gary Templet; Jay F. Lofstead; Scott Levy; Patrick M. Widener; Todd Kordenbrock (PDSW-DISCS@SC, 2017)

HPC I/O in the Data Center Workshop (HPC-IODC). - Julian M. Kunkel; Jay F. Lofstead; Colin McMurtrie (ISC Workshops, 2017)

Output Performance Study on a Production Petascale Filesystem. - Bing Xie; Jeffrey S. Chase; David Dillow; Scott Klasky; Jay F. Lofstead; Sarp Oral; Norbert Podhorszki (ISC Workshops, 2017)

Harmonia: An Interference-Aware Dynamic I/O Scheduler for Shared Non-volatile Burst Buffers. - Anthony Kougkas; Hariharan Devarajan; Xian-He Sun; Jay F. Lofstead (CLUSTER, 2018)

Tintenfisch: File System Namespace Schemas and Generators. - Michael A. Sevilla; Reza Nasirigerdeh; Carlos Maltzahn; Jeff LeFevre; Noah Watkins; Peter Alvaro; Margaret Lawson; Jay F. Lofstead; Jim Pivarski (HotStorage, 2018)

Faodel: Data Management for Next-Generation Application Workflows. - Craig D. Ulmer; Shyamali Mukherjee; Gary Templet; Scott Levy; Jay F. Lofstead; Patrick M. Widener; Todd Kordenbrock; Margaret Lawson (ScienceCloud@HPDC, 2018)

Using a Robust Metadata Management System to Accelerate Scientific Discovery at Extreme Scales. - Margaret Lawson; Jay F. Lofstead (PDSW-DISCS@SC, 2018)

quiho: Automated Performance Regression Testing Using Inferred Resource Utilization Profiles. - Ivo Jimenez; Noah Watkins; Michael Sevilla; Jay F. Lofstead; Carlos Maltzahn (ICPE, 2018)

LABIOS: A Distributed Label-Based I/O System. - Anthony Kougkas; Hariharan Devarajan; Jay F. Lofstead; Xian-He Sun (HPDC, 2019)

Session details: Cloud Systems. - Jay F. Lofstead (HPDC, 2019)

Creating repeatable, reusable experimentation pipelines with popper: tutorial. - Ivo Jimenez; Jay F. Lofstead; Carlos Maltzahn (PPoPP, 2019)

Profiling Platform Storage Using IO500 and Mistral. - Nolan Monnier; Jay F. Lofstead; Margaret Lawson; Matthew Curry (PDSW@SC, 2019)

Applying Machine Learning to Understand Write Performance of Large-scale Parallel Filesystems. - Bing Xie; Zilong Tan; Philip H. Carns; Jeffrey S. Chase; Kevin Harms; Jay F. Lofstead; Sarp Oral; Sudharshan S. Vazhkudai; Feiyi Wang (PDSW@SC, 2019)

Data Pallets: Containerizing Storage for Reproducibility and Traceability. - Jay F. Lofstead; Joshua Baker; Andrew Younge (ISC Workshops, 2019)

Adventures in NoSQL for Metadata Management. - Jay F. Lofstead; Ashleigh Ryan; Margaret Lawson (ISC Workshops, 2019)

Stitch It Up: Using Progressive Data Storage to Scale Science. - Jay F. Lofstead; John Mitchell 001; Enze Chen (IPDPS, 2020)

ALAMO: Autonomous Lightweight Allocation, Management, and Optimization. - Ron Brightwell; Kurt B. Ferreira; Ryan E. Grant; Scott Levy; Jay F. Lofstead; Stephen L. Olivier; Kevin T. Pedretti; Andrew J. Younge; Ann C. Gentile; Jim M. Brandt (SMC, 2020)

Memory vs. Storage Software and Hardware: The Shifting Landscape. - Jay F. Lofstead (SMC, 2020)

Building Containerized Environments for Reproducibility and Traceability of Scientific Workflows. - Paula Olaya; Jay F. Lofstead; Michela Taufer (CoRR, 2020)

TMaR: a two-stage MapReduce scheduler for heterogeneous environments. - Neda Maleki; Hamid Reza Faragardi; Amir Masoud Rahmani; Mauro Conti; Jay F. Lofstead (Hum. centric Comput. Inf. Sci., 2020)

A terminology for in situ visualization and analysis systems. - Hank Childs; Sean Ahern; James P. Ahrens; Andrew C. Bauer; Janine Bennett; E. Wes Bethel; Peer-Timo Bremer; Eric Brugger; Joseph Cottam; Matthieu Dorier; Soumya Dutta; Jean M. Favre; et al. (Int. J. High Perform. Comput. Appl., 2020)

Characterizing Output Bottlenecks of a Production Supercomputer: Analysis and Implications. - Bing Xie; Sarp Oral; Christopher Zimmer 001; Jong Youl Choi; David Dillow; Scott Klasky; Jay F. Lofstead; Norbert Podhorszki; Jeffrey S. Chase (ACM Trans. Storage, 2020)

pMEMCPY: a simple, lightweight, and portable I/O library for storing data in persistent memory. - Luke Logan; Jay F. Lofstead; Scott Levy; Patrick M. Widener; Xian-He Sun; Anthony Kougkas (CLUSTER, 2021)

Interpreting Write Performance of Supercomputer I/O Systems with Regression Models. - Bing Xie; Zilong Tan; Philip H. Carns; Jeffrey S. Chase; Kevin Harms; Jay F. Lofstead; Sarp Oral; Sudharshan S. Vazhkudai; Feiyi Wang (IPDPS, 2021)

User-Centric System Fault Identification Using IO500 Benchmark. - Radita Liem; Dmytro Povaliaiev; Jay F. Lofstead; Julian M. Kunkel; Christian Terboven (PDSW@SC, 2021)

SCTuner: An Autotuner Addressing Dynamic I/O Needs on Supercomputer I/O Subsystems. - Houjun Tang; Bing Xie; Suren Byna; Philip H. Carns; Quincey Koziol; Sudarsun Kannan; Jay F. Lofstead; Sarp Oral (PDSW@SC, 2021)

Exploring Spatial Indexing for Accelerated Feature Retrieval in HPC. - Margaret Lawson; William Gropp; Jay F. Lofstead (CCGRID, 2022)

Failure Sources in Machine Learning for Medicine - A Study. - Hana Ahmed; Roselyne Tchoua; Jay F. Lofstead (e-Science, 2022)

Augmenting Singularity to Generate Fine-grained Workflows, Record Trails, and Data Provenance. - Dominic Kennedy; Paula Olaya; Jay F. Lofstead; Rodrigo Vargas; Michela Taufer (e-Science, 2022)

P-RECS'22: 5th International Workshop on Practical Reproducible Evaluation of Systems. - Jay F. Lofstead; Carlos Maltzahn; Ivo Jimenez (HPDC, 2022)

NSDF-FUSE: A Testbed for Studying Object Storage via FUSE File Systems. - Paula Olaya; Jakob Lüttgau; Naweiluo Zhou; Jay F. Lofstead; Giorgio Scorzelli; Valerio Pascucci; Michela Taufer (HPDC, 2022)

Ensuring AI For Science is Science: Making Randomness Portable. - Hana Ahmed; Roselyne Tchoua; Jay F. Lofstead (AI4S, 2022)

LabStor: A Modular and Extensible Platform for Developing High-Performance, Customized I/O Stacks in Userspace. - Luke Logan; Jaime Cernuda Garcia; Jay F. Lofstead; Xian-He Sun; Anthony Kougkas (SC, 2022)

Measuring Reproduciblity of Machine Learning Methods for Medical Diagnosis. - Hana Ahmed; Roselyne Tchoua; Jay F. Lofstead (TransAI, 2022)

Experiences Integrating Interns Into Research Software Teams. - Jay F. Lofstead (Comput. Sci. Eng., 2022)

EMPRESS: Accelerating Scientific Discovery through Descriptive Metadata Management. - Margaret Lawson; William Gropp; Jay F. Lofstead (ACM Trans. Storage, 2022)

Enabling Scalability in the Cloud for Scientific Workflows: An Earth Science Use Case. - Paula Olaya; Jakob Lüttgau; Camila Roa; Ricardo M. Llamas; Rodrigo Vargas; Sophia Wen; I-Hsin Chung; Seetharami R. Seelam; Yoonho Park; Jay F. Lofstead; Michela Taufer (CLOUD, 2023)

Mango-IO: I/O Metrics Consistency Analysis. - Radita Liem; Sebastian Oeste; Jay F. Lofstead; Julian M. Kunkel (CLUSTER Workshops, 2023)

An Evaluation of DAOS for Simulation and Deep Learning HPC Workloads. - Luke Logan; Jay F. Lofstead; Xian-He Sun; Anthony Kougkas (CHEOPS@EuroSys, 2023)

Weather Forecasting Limitations in the Developing World. - Jay F. Lofstead (HCI (27), 2023)

Message from the Program Committee Chairs. - Jay F. Lofstead; Vinod E. F. Rebello (SBAC-PAD, 2023)

Understanding System Resilience for Converged Computing of Cloud, Edge, and HPC. - Luanzheng Guo; Jay F. Lofstead; Jie Ren 015; Ignacio Laguna; Gokcen Kestor; Line Pouchard; Dossay Oryspayev; Hyeran Jeon (ISC Workshops, 2023)

Economic, Societal, Legal, and Ethical Considerations for Large Language Models. - Jay F. Lofstead (TransAI, 2023)

NSDF-Services: Integrating Networking, Storage, and Computing Services into a Testbed for Democratization of Data Delivery. - Jakob Lüttgau; Heberth F. Martinez; Paula Olaya; Giorgio Scorzelli; Glenn Tarcea; Jay F. Lofstead; Christine R. Kirkpatrick; Valerio Pascucci; Michela Taufer (UCC, 2023)

ICPE'23 PFAIR Workshop Chairs Introduction. - Jay F. Lofstead; Paula Olaya (ICPE (Companion), 2023)

Building Trust in Earth Science Findings through Data Traceability and Results Explainability. - Paula Olaya; Dominic Kennedy; Ricardo M. Llamas; Leobardo Valera; Rodrigo Vargas; Jay F. Lofstead; Michela Taufer (IEEE Trans. Parallel Distributed Syst., 2023)

PerSSD: Persistent, Shared, and Scalable Data with Node-Local Storage for Scientific Workflows in Cloud Infrastructure. - Paula Olaya; Sophia Wen; Jay F. Lofstead; Michela Taufer (IEEE Big Data, 2024)

Hades: A Context-Aware Active Storage Framework for Accelerating Large-Scale Data Analysis. - Jaime Cernuda; Luke Logan; Ana Gainaru; Scott Klasky; Jay F. Lofstead; Anthony Kougkas; Xian-He Sun (CCGrid, 2024)

To Derive or Not to Derive: I/O Libraries Take Charge of Derived Quantities Computation. - Ana Gainaru; Norbert Podhorszki; Liz Dulac; Qian Gong; Scott Klasky; Greg Eisenhauer; Antonios Kougkas; Xian-He Sun; Jay F. Lofstead (SBAC-PAD, 2024)

High-Quality I/O Bandwidth Prediction with Minimal Data via Transfer Learning Workflow. - Dmytro Povaliaiev; Radita Liem; Julian M. Kunkel; Jay F. Lofstead; Philip H. Carns (SBAC-PAD, 2024)

An Evaluation of DAOS for Simulation and Deep Learning HPCWorkloads. - Luke Logan; Jay F. Lofstead; Xian-He Sun; Anthony Kougkas (ACM SIGOPS Oper. Syst. Rev., 2024)

XIO: Toward eXplainable I/O for HPC Systems. - Sarah Neuwirth; Hariharan Devarajan; Chen Wang 004; Jay F. Lofstead (SSDBM, 2025)

Performance Models for a Two-tiered Storage System. - Aparna Sasidharan; Xian-He Sun; Jay F. Lofstead; Scott Klasky (CoRR, 2025)

Report on Challenges of Practical Reproducibility for Systems and HPC Computer Science. - Kate Keahey; Marc Richardson; Rafael Tolosana-Calasanz; Sascha Hunold; Jay F. Lofstead; Tanu Malik; Christian Pérez (CoRR, 2025)

Guest Editorial:Special Section on SC22 Student Cluster Competition. - Omer F. Rana; Josef Spillner; Stephen Leak; Gerald F. Lofstead II; Rafael Tolosana-Calasanz (IEEE Trans. Parallel Distributed Syst., 2025)