Jay F. Lofstead

According to our database, Jay F. Lofstead authored at least 90 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., June, 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

Proceedings of the 24th IEEE International Symposium on Cluster, 2024

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., February, 2023

ICPE'23 PFAIR Workshop Chairs Introduction.

Jay F. Lofstead, Paula Olaya

Proceedings of the Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 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

Proceedings of the IEEE/ACM 16th International Conference on Utility and Cloud Computing, 2023

Understanding System Resilience for Converged Computing of Cloud, Edge, and HPC.

Luanzheng Guo, Jay F. Lofstead, Jie Ren, Ignacio Laguna, Gokcen Kestor, Line Pouchard, Dossay Oryspayev, Hyeran Jeon

Proceedings of the High Performance Computing, 2023

Message from the Program Committee Chairs.

Jay F. Lofstead, Vinod E. F. Rebello

Proceedings of the 35th IEEE International Symposium on Computer Architecture and High Performance Computing, 2023

Weather Forecasting Limitations in the Developing World.

Jay F. Lofstead

Proceedings of the Distributed, Ambient and Pervasive Interactions, 2023

An Evaluation of DAOS for Simulation and Deep Learning HPC Workloads.

Luke Logan, Jay F. Lofstead, Xian-He Sun, Anthony Kougkas

Proceedings of the 3rd Workshop on Challenges and Opportunities of Efficient and Performant Storage Systems, 2023

Mango-IO: I/O Metrics Consistency Analysis.

Radita Liem, Sebastian Oeste, Jay F. Lofstead, Julian Kunkel

Proceedings of the IEEE International Conference on Cluster Computing, 2023

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

Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

2022

EMPRESS: Accelerating Scientific Discovery through Descriptive Metadata Management.

Margaret Lawson, William Gropp, Jay F. Lofstead

ACM Trans. Storage, 2022

Experiences Integrating Interns Into Research Software Teams.

Jay F. Lofstead

Comput. Sci. Eng., 2022

Measuring Reproduciblity of Machine Learning Methods for Medical Diagnosis.

Hana Ahmed, Roselyne Tchoua, Jay F. Lofstead

Proceedings of the Fourth International Conference on Transdisciplinary AI, 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

Proceedings of the SC22: International Conference for High Performance Computing, 2022

Ensuring AI For Science is Science: Making Randomness Portable.

Hana Ahmed, Roselyne Tchoua, Jay F. Lofstead

Proceedings of the IEEE/ACM International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications, 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

Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

P-RECS'22: 5th International Workshop on Practical Reproducible Evaluation of Systems.

Jay F. Lofstead, Carlos Maltzahn, Ivo Jimenez

Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

Augmenting Singularity to Generate Fine-grained Workflows, Record Trails, and Data Provenance.

Dominic Kennedy, Paula Olaya, Jay F. Lofstead, Rodrigo Vargas, Michela Taufer

Proceedings of the 18th IEEE International Conference on e-Science, 2022

Failure Sources in Machine Learning for Medicine - A Study.

Hana Ahmed, Roselyne Tchoua, Jay F. Lofstead

Proceedings of the 18th IEEE International Conference on e-Science, 2022

Exploring Spatial Indexing for Accelerated Feature Retrieval in HPC.

Margaret Lawson, William Gropp, Jay F. Lofstead

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

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

Proceedings of the 6th IEEE/ACM International Parallel Data Systems Workshop, 2021

User-Centric System Fault Identification Using IO500 Benchmark.

Radita Liem, Dmytro Povaliaiev, Jay F. Lofstead, Julian Kunkel, Christian Terboven

Proceedings of the 6th IEEE/ACM International Parallel Data Systems Workshop, 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

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

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

Proceedings of the IEEE International Conference on Cluster Computing, 2021

2020

Characterizing Output Bottlenecks of a Production Supercomputer: Analysis and Implications.

Bing Xie, Sarp Oral, Christopher Zimmer, Jong Youl Choi, David Dillow, Scott Klasky, Jay F. Lofstead, Norbert Podhorszki, Jeffrey S. Chase

ACM Trans. Storage, 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, Thomas Fogal, Steffen Frey, Christoph Garth, Berk Geveci, William F. Godoy, Charles D. Hansen, Cyrus Harrison, Bernd Hentschel, Joseph A. Insley, Christopher R. Johnson, Scott Klasky, Aaron Knoll, James Kress, Matthew Larsen, Jay F. Lofstead, Kwan-Liu Ma, Preeti Malakar, Jeremy S. Meredith, Kenneth Moreland, Paul A. Navrátil, Patrick O'Leary, Manish Parashar, Valerio Pascucci, John Patchett, Tom Peterka, Steve Petruzza, Norbert Podhorszki, David Pugmire, Michel E. Rasquin, Silvio Rizzi, David H. Rogers, Sudhanshu Sane, Franz Sauer, Robert Sisneros, Han-Wei Shen, Will Usher, Rhonda Vickery, Venkatram Vishwanath, Ingo Wald, Ruonan Wang, Gunther H. Weber, Brad Whitlock, Matthew Wolf, Hongfeng Yu, Sean B. Ziegeler

Int. J. High Perform. Comput. Appl., 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

Building Containerized Environments for Reproducibility and Traceability of Scientific Workflows.

Paula Olaya, Jay F. Lofstead, Michela Taufer

CoRR, 2020

Memory vs. Storage Software and Hardware: The Shifting Landscape.

Jay F. Lofstead

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 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

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

Stitch It Up: Using Progressive Data Storage to Scale Science.

Jay F. Lofstead, John Mitchell, Enze Chen

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2019

Adventures in NoSQL for Metadata Management.

Jay F. Lofstead, Ashleigh Ryan, Margaret Lawson

Proceedings of the High Performance Computing, 2019

Data Pallets: Containerizing Storage for Reproducibility and Traceability.

Jay F. Lofstead, Joshua Baker, Andrew Younge

Proceedings of the High Performance Computing, 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

Proceedings of the IEEE/ACM Fourth International Parallel Data Systems Workshop, 2019

Profiling Platform Storage Using IO500 and Mistral.

Nolan Monnier, Jay F. Lofstead, Margaret Lawson, Matthew Curry

Proceedings of the IEEE/ACM Fourth International Parallel Data Systems Workshop, 2019

Creating repeatable, reusable experimentation pipelines with popper: tutorial.

Ivo Jimenez, Jay F. Lofstead, Carlos Maltzahn

Proceedings of the 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2019

Session details: Cloud Systems.

Jay F. Lofstead

Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019

LABIOS: A Distributed Label-Based I/O System.

Anthony Kougkas, Hariharan Devarajan, Jay F. Lofstead, Xian-He Sun

Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019

2018

<i>quiho</i>: Automated Performance Regression Testing Using Inferred Resource Utilization Profiles.

Ivo Jimenez, Noah Watkins, Michael Sevilla, Jay F. Lofstead, Carlos Maltzahn

Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

Using a Robust Metadata Management System to Accelerate Scientific Discovery at Extreme Scales.

Margaret Lawson, Jay F. Lofstead

Proceedings of the 3rd IEEE/ACM International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, 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

Proceedings of the 9th Workshop on Scientific Cloud Computing, 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

Proceedings of the 10th USENIX Workshop on Hot Topics in Storage and File Systems, 2018

Harmonia: An Interference-Aware Dynamic I/O Scheduler for Shared Non-volatile Burst Buffers.

Anthony Kougkas, Hariharan Devarajan, Xian-He Sun, Jay F. Lofstead

Proceedings of the IEEE International Conference on Cluster Computing, 2018

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

Proceedings of the High Performance Computing, 2017

HPC I/O in the Data Center Workshop (HPC-IODC).

Julian M. Kunkel, Jay F. Lofstead, Colin McMurtrie

Proceedings of the High Performance Computing, 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

Proceedings of the 2nd Joint International Workshop on Parallel Data Storage & Data Intensive Scalable Computing Systems, 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

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium 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

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium 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

Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 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

Proceedings of the 2017 IEEE Conference on Computer Communications Workshops, 2017

Predicting Output Performance of a Petascale Supercomputer.

Bing Xie, Yezhou Huang, Jeffrey S. Chase, Jong Youl Choi, Scott Klasky, Jay F. Lofstead, Sarp Oral

Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, 2017

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

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

Delta: Data Reduction for Integrated Application Workflows and Data Storage.

Jay F. Lofstead, Gregory Jean-Baptiste, Ron A. Oldfield

Proceedings of the High Performance Computing, 2016

An Overview of the Sirocco Parallel Storage System.

Matthew L. Curry, H. Lee Ward, Geoff Danielson, Jay F. Lofstead

Proceedings of the High Performance Computing, 2016

DAOS and friends: a proposal for an exascale storage system.

Jay F. Lofstead, Ivo Jimenez, Carlos Maltzahn, Quincey Koziol, John Bent, Eric Barton

Proceedings of the International Conference for High Performance Computing, 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

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Managing I/O Interference in a Shared Burst Buffer System.

Sagar Thapaliya, Purushotham V. Bangalore, Jay F. Lofstead, Kathryn M. Mohror, Adam Moody

Proceedings of the 45th International Conference on Parallel Processing, 2016

SuperGlue: Standardizing Glue Components for HPC Workflows.

Jay F. Lofstead, Alexis Champsaur, Jai Dayal, Matthew Wolf, Greg Eisenhauer

Proceedings of the 2016 IEEE International Conference on Cluster Computing, 2016

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

Proceedings of the 10th Parallel Data Storage Workshop, 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

Proceedings of the 2015 IEEE International Conference on Cloud Engineering, 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, Jay F. Lofstead, Kevin T. Pedretti, Patrick G. Bridges

Proceedings of the 5th International Workshop on Runtime and Operating Systems for Supercomputers, 2015

SODA: Science-Driven Orchestration of Data Analytics.

Jai Dayal, Jay F. Lofstead, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Hasan Abbasi, Scott Klasky

Proceedings of the 11th IEEE International Conference on e-Science, 2015

2014

Distributed Versioned Object Storage - Alternatives at the OSD layer (Poster Extended Abstract).

Ivo Jimenez, Carlos Maltzahn, Jay F. Lofstead

CoRR, 2014

Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks.

Qing Liu, Jeremy Logan, Yuan Tian, Hasan Abbasi, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Roselyne Tchoua, Jay F. Lofstead, Ron A. Oldfield, Manish Parashar, Nagiza F. Samatova, Karsten Schwan, Arie Shoshani, Matthew Wolf, Kesheng Wu, Weikuan Yu

Concurr. Comput. Pract. Exp., 2014

Efficient, failure resilient transactions for parallel and distributed computing.

Jay F. Lofstead, Jai Dayal, Ivo Jimenez, Carlos Maltzahn

Proceedings of the 2014 International Workshop on Data Intensive Scalable Computing Systems, 2014

IO-Cop: Managing Concurrent Accesses to Shared Parallel File System.

Sagar Thapaliya, Purushotham V. Bangalore, Jay F. Lofstead, Kathryn M. Mohror, Adam Moody

Proceedings of the 43rd International Conference on Parallel Processing Workshops, 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

Proceedings of the 43rd International Conference on Parallel Processing Workshops, 2014

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

Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014

2013

Insights for exascale IO APIs from building a petascale IO API.

Jay F. Lofstead, Robert Ross

Proceedings of the International Conference for High Performance Computing, 2013

Efficient transactions for parallel data movement.

Jay F. Lofstead, Jai Dayal, Ivo Jimenez, Carlos Maltzahn

Proceedings of the 8th Parallel Data Storage Workshop, 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, Hasan Abbasi, Scott Klasky, Norbert Podhorszki, Jay F. Lofstead

Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

A case of system-wide power management for scientific applications.

Zhuo Liu, Jay F. Lofstead, Teng Wang, Weikuan Yu

Proceedings of the 2013 IEEE International Conference on Cluster Computing, 2013

Experiences Applying Data Staging Technology in Unconventional Ways.

Jay F. Lofstead, Ron A. Oldfield, Todd Kordenbrock

Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013

2012

Trilinos I/O Support (Trios).

Ron A. Oldfield, Gregory D. Sjaardema, Gerald F. Lofstead II, Todd Kordenbrock

Sci. Program., 2012

Extending MPI to Better Support Multi-application Interaction.

Jay F. Lofstead, Jai Dayal

Proceedings of the Recent Advances in the Message Passing Interface, 2012

D2T: Doubly Distributed Transactions for High Performance and Distributed Computing.

Jay F. Lofstead, Jai Dayal, Karsten Schwan, Ron A. Oldfield

Proceedings of the 2012 IEEE International Conference on Cluster Computing, 2012

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

Proceedings of the 20th ACM International Symposium on High Performance Distributed Computing, 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, Xiaosong Ma, Manish Parashar, Norbert Podhorszki, Karsten Schwan, Matthew Wolf

Proceedings of the IEEE 7th International Conference on E-Science, 2011

EDO: Improving Read Performance for Scientific Applications through Elastic Data Organization.

Yuan Tian, Scott Klasky, Hasan Abbasi, Jay F. Lofstead, Ray W. Grout, Norbert Podhorszki, Qing Liu, Yandong Wang, Weikuan Yu

Proceedings of the 2011 IEEE International Conference on Cluster Computing (CLUSTER), 2011

2010

Extreme scale data management in high performance computing.

Gerald Fredrick Lofstead

PhD thesis, 2010

Managing Variability in the IO Performance of Petascale Storage Systems.

Jay F. Lofstead, Fang Zheng, Qing Liu, Scott Klasky, Ron A. Oldfield, Todd Kordenbrock, Karsten Schwan, Matthew Wolf

Proceedings of the Conference on High Performance Computing Networking, 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

Proceedings of the 18th Euromicro Conference on Parallel, 2010

PreDatA - preparatory data analytics on peta-scale machines.

Fang Zheng, Hasan Abbasi, Ciprian Docan, Jay F. Lofstead, Qing Liu, Scott Klasky, Manish Parashar, Norbert Podhorszki, Karsten Schwan, Matthew Wolf

Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

2009

Plasma fusion code coupling using scalable I/O services and scientific workflows.

Norbert Podhorszki, Scott Klasky, Qing Liu, Ciprian Docan, Manish Parashar, Hasan Abbasi, Jay F. Lofstead, Karsten Schwan, Matthew Wolf, Fang Zheng, Julian Cummings

Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science, 2009

Adaptable, metadata rich IO methods for portable high performance IO.

Jay F. Lofstead, Fang Zheng, Scott Klasky, Karsten Schwan

Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

Extending I/O through high performance data services.

Hasan Abbasi, Jay F. Lofstead, Fang Zheng, Karsten Schwan, Matthew Wolf, Scott Klasky

Proceedings of the 2009 IEEE International Conference on Cluster Computing, August 31, 2009

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

Proceedings of the Scientific Data Management - Challenges, Technology, and Deployment., 2009

2008

Flexible IO and integration for scientific codes through the adaptable IO system (ADIOS).

Jay F. Lofstead, Scott Klasky, Karsten Schwan, Norbert Podhorszki, Chen Jin

Proceedings of the 6th International Workshop on Challenges of Large Applications in Distributed Environments, 2008