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ORCIDJay F. Lofstead
Gerald Fredrick Lofstead – Gerald F. Lofstead II
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- affiliation: Sandia National Laboratories, NM, USA
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2020 – today
- 2024
[j10]Luke Logan, Jay F. Lofstead, Xian-He Sun, Anthony Kougkas:
An Evaluation of DAOS for Simulation and Deep Learning HPCWorkloads. ACM SIGOPS Oper. Syst. Rev. 58(1): 37-44 (2024)- [c75]Jaime Cernuda, Luke Logan, Ana Gainaru, Scott Klasky, Jay F. Lofstead, Anthony Kougkas, Xian-He Sun:
Hades: A Context-Aware Active Storage Framework for Accelerating Large-Scale Data Analysis. CCGrid 2024: 577-586 - [e6]Shadi Ibrahim, Suren Byna, Tristan Allard, Jay F. Lofstead, Amelie Chi Zhou, Tassadit Bouadi, Jalil Boukhobza, Diana Moise, Cédric Tedeschi, Jean Luca Bez:
Proceedings of the 36th International Conference on Scientific and Statistical Database Management, SSDBM 2024, Rennes, France, July 10-12, 2024. ACM 2024, ISBN 979-8-4007-1020-9 [contents] - 2023
- [j9]Paula Olaya
, Dominic Kennedy, Ricardo M. Llamas, Leobardo Valera, Rodrigo Vargas, Jay F. Lofstead, Michela Taufer:
Building Trust in Earth Science Findings through Data Traceability and Results Explainability. IEEE Trans. Parallel Distributed Syst. 34(2): 704-717 (2023) - [c74]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:
Enabling Scalability in the Cloud for Scientific Workflows: An Earth Science Use Case. CLOUD 2023: 383-393 - [c73]Radita Liem, Sebastian Oeste, Jay F. Lofstead, Julian Kunkel:
Mango-IO: I/O Metrics Consistency Analysis. CLUSTER Workshops 2023: 18-24 - [c72]Luke Logan, Jay F. Lofstead, Xian-He Sun, Anthony Kougkas:
An Evaluation of DAOS for Simulation and Deep Learning HPC Workloads. CHEOPS@EuroSys 2023: 9-16 - [c71]Jay F. Lofstead:
Weather Forecasting Limitations in the Developing World. HCI (27) 2023: 86-96 - [c70]Jay F. Lofstead, Vinod E. F. Rebello:
Message from the Program Committee Chairs. SBAC-PAD 2023: x-xi - [c69]Luanzheng Guo, Jay F. Lofstead, Jie Ren, Ignacio Laguna, Gokcen Kestor, Line Pouchard, Dossay Oryspayev, Hyeran Jeon:
Understanding System Resilience for Converged Computing of Cloud, Edge, and HPC. ISC Workshops 2023: 221-233 - [c68]Jakob Lüttgau, Heberth F. Martinez, Paula Olaya, Giorgio Scorzelli, Glenn Tarcea, Jay F. Lofstead, Christine R. Kirkpatrick, Valerio Pascucci, Michela Taufer:
NSDF-Services: Integrating Networking, Storage, and Computing Services into a Testbed for Democratization of Data Delivery. UCC 2023: 11 - [c67]Jay F. Lofstead, Paula Olaya:
ICPE'23 PFAIR Workshop Chairs Introduction. ICPE (Companion) 2023: 327 - 2022
- [j8]Jay F. Lofstead:
Experiences Integrating Interns Into Research Software Teams. Comput. Sci. Eng. 24(3): 33-41 (2022) - [j7]Margaret Lawson, William Gropp, Jay F. Lofstead:
EMPRESS: Accelerating Scientific Discovery through Descriptive Metadata Management. ACM Trans. Storage 18(4): 34:1-34:49 (2022) - [c66]Margaret Lawson, William Gropp, Jay F. Lofstead:
Exploring Spatial Indexing for Accelerated Feature Retrieval in HPC. CCGRID 2022: 605-614 - [c65]Dominic Kennedy, Paula Olaya, Jay F. Lofstead, Rodrigo Vargas, Michela Taufer:
Augmenting Singularity to Generate Fine-grained Workflows, Record Trails, and Data Provenance. e-Science 2022: 403-404 - [c64]Hana Ahmed, Roselyne Tchoua, Jay F. Lofstead:
Failure Sources in Machine Learning for Medicine - A Study. e-Science 2022: 501-506 - [c63]Paula Olaya, Jakob Lüttgau, Naweiluo Zhou, Jay F. Lofstead, Giorgio Scorzelli, Valerio Pascucci, Michela Taufer:
NSDF-FUSE: A Testbed for Studying Object Storage via FUSE File Systems. HPDC 2022: 277-278 - [c62]Jay F. Lofstead, Carlos Maltzahn, Ivo Jimenez:
P-RECS'22: 5th International Workshop on Practical Reproducible Evaluation of Systems. HPDC 2022: 298-299 - [c61]Luke Logan, Jaime Cernuda Garcia, Jay F. Lofstead, Xian-He Sun, Anthony Kougkas:
LabStor: A Modular and Extensible Platform for Developing High-Performance, Customized I/O Stacks in Userspace. SC 2022: 23:1-23:15 - [c60]Hana Ahmed, Roselyne Tchoua, Jay F. Lofstead:
Ensuring AI For Science is Science: Making Randomness Portable. AI4S 2022: 32-37 - [c59]Hana Ahmed, Roselyne Tchoua, Jay F. Lofstead:
Measuring Reproduciblity of Machine Learning Methods for Medical Diagnosis. TransAI 2022: 9-16 - 2021
- [c58]Luke Logan, Jay F. Lofstead, Scott Levy, Patrick M. Widener, Xian-He Sun, Anthony Kougkas:
pMEMCPY: a simple, lightweight, and portable I/O library for storing data in persistent memory. CLUSTER 2021: 664-670 - [c57]Bing Xie, Zilong Tan, Philip H. Carns, Jeffrey S. Chase, Kevin Harms, Jay F. Lofstead, Sarp Oral, Sudharshan S. Vazhkudai, Feiyi Wang:
Interpreting Write Performance of Supercomputer I/O Systems with Regression Models. IPDPS 2021: 557-566 - [c56]Houjun Tang, Bing Xie, Suren Byna, Philip H. Carns, Quincey Koziol, Sudarsun Kannan, Jay F. Lofstead, Sarp Oral:
SCTuner: An Autotuner Addressing Dynamic I/O Needs on Supercomputer I/O Subsystems. PDSW@SC 2021: 29-34 - [c55]Radita Liem, Dmytro Povaliaiev, Jay F. Lofstead, Julian Kunkel, Christian Terboven:
User-Centric System Fault Identification Using IO500 Benchmark. PDSW@SC 2021: 35-40 - [e5]Erwin Laure, Stefano Markidis, Ana Lucia Verbanescu, Jay F. Lofstead:
HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, Virtual Event, Sweden, June 21-25, 2021. ACM 2021, ISBN 978-1-4503-8217-5 [contents] - [i5]Margaret Lawson, William Gropp, Jay F. Lofstead:
Exploring Spatial Indexing for Accelerated Feature Retrieval in HPC. CoRR abs/2106.13972 (2021) - 2020
- [j6]Neda Maleki, Hamid Reza Faragardi, Amir Masoud Rahmani, Mauro Conti, Jay F. Lofstead:
TMaR: a two-stage MapReduce scheduler for heterogeneous environments. Hum. centric Comput. Inf. Sci. 10: 42 (2020) - [j5]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:
A terminology for in situ visualization and analysis systems. Int. J. High Perform. Comput. Appl. 34(6) (2020) - [j4]Bing Xie, Sarp Oral, Christopher Zimmer, Jong Youl Choi, David Dillow, Scott Klasky, Jay F. Lofstead, Norbert Podhorszki, Jeffrey S. Chase:
Characterizing Output Bottlenecks of a Production Supercomputer: Analysis and Implications. ACM Trans. Storage 15(4): 26:1-26:39 (2020) - [c54]Jay F. Lofstead, John Mitchell, Enze Chen:
Stitch It Up: Using Progressive Data Storage to Scale Science. IPDPS 2020: 52-61 - [c53]Jay F. Lofstead:
Memory vs. Storage Software and Hardware: The Shifting Landscape. SMC 2020: 394-407 - [c52]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:
ALAMO: Autonomous Lightweight Allocation, Management, and Optimization. SMC 2020: 408-422 - [e4]Ivo Jimenez, Carlos Maltzahn, Jay F. Lofstead:
Proceedings of the 3rd International Workshop on Practical Reproducible Evaluation of Computer Systems, P-RECS@HPDC 2020, Stockholm, Sweden, June 23, 2020. ACM 2020, ISBN 978-1-4503-7977-9 [contents] - [i4]Paula Olaya, Jay F. Lofstead, Michela Taufer:
Building Containerized Environments for Reproducibility and Traceability of Scientific Workflows. CoRR abs/2009.08495 (2020)
2010 – 2019
- 2019
- [c51]Anthony Kougkas, Hariharan Devarajan, Jay F. Lofstead, Xian-He Sun:
LABIOS: A Distributed Label-Based I/O System. HPDC 2019: 13-24 - [c50]Jay F. Lofstead:
Session details: Cloud Systems. HPDC 2019 - [c49]Ivo Jimenez, Jay F. Lofstead, Carlos Maltzahn:
Creating repeatable, reusable experimentation pipelines with popper: tutorial. PPoPP 2019: 441-442 - [c48]Bing Xie, Zilong Tan, Philip H. Carns, Jeffrey S. Chase, Kevin Harms, Jay F. Lofstead, Sarp Oral, Sudharshan S. Vazhkudai, Feiyi Wang:
Applying Machine Learning to Understand Write Performance of Large-scale Parallel Filesystems. PDSW@SC 2019: 30-39 - [c47]Nolan Monnier, Jay F. Lofstead, Margaret Lawson, Matthew Curry:
Profiling Platform Storage Using IO500 and Mistral. PDSW@SC 2019: 60-73 - [c46]Jay F. Lofstead, Joshua Baker, Andrew Younge:
Data Pallets: Containerizing Storage for Reproducibility and Traceability. ISC Workshops 2019: 36-45 - [c45]Jay F. Lofstead, Ashleigh Ryan, Margaret Lawson:
Adventures in NoSQL for Metadata Management. ISC Workshops 2019: 227-239 - [e3]Ivo Jimenez, Carlos Maltzahn, Jay F. Lofstead:
Proceedings of the 2nd International Workshop on Practical Reproducible Evaluation of Computer Systems, P-RECS@HPDC 2019, Phoenix, AZ, USA, June 24, 2019. ACM 2019, ISBN 978-1-4503-6756-1 [contents] - 2018
- [c44]Anthony Kougkas, Hariharan Devarajan, Xian-He Sun, Jay F. Lofstead:
Harmonia: An Interference-Aware Dynamic I/O Scheduler for Shared Non-volatile Burst Buffers. CLUSTER 2018: 290-301 - [c43]Michael A. Sevilla, Reza Nasirigerdeh, Carlos Maltzahn, Jeff LeFevre, Noah Watkins, Peter Alvaro, Margaret Lawson, Jay F. Lofstead, Jim Pivarski:
Tintenfisch: File System Namespace Schemas and Generators. HotStorage 2018 - [c42]Craig D. Ulmer, Shyamali Mukherjee, Gary Templet, Scott Levy, Jay F. Lofstead, Patrick M. Widener, Todd Kordenbrock, Margaret Lawson:
Faodel: Data Management for Next-Generation Application Workflows. ScienceCloud@HPDC 2018: 8:1-8:6 - [c41]Margaret Lawson, Jay F. Lofstead:
Using a Robust Metadata Management System to Accelerate Scientific Discovery at Extreme Scales. PDSW-DISCS@SC 2018: 13-23 - [c40]Ivo Jimenez, Noah Watkins, Michael Sevilla, Jay F. Lofstead, Carlos Maltzahn:
quiho: Automated Performance Regression Testing Using Inferred Resource Utilization Profiles. ICPE 2018: 273-284 - [e2]Alexandru Costan, Bogdan Nicolae, Dmitry Duplyakin, Gerald F. Lofstead II, Jai Dayal:
Proceedings of the 9th Workshop on Scientific Cloud Computing, ScienceCloud@HPDC 2018, Tempe, AZ, USA, June 11, 2018. ACM 2018, ISBN 978-1-4503-5863-7 [contents] - [i3]Jay F. Lofstead, Joshua Baker, Andrew Younge:
Data Pallets: Containerizing Storage For Reproducibility and Traceability. CoRR abs/1811.04740 (2018) - 2017
- [c39]Bing Xie, Yezhou Huang, Jeffrey S. Chase, Jong Youl Choi, Scott Klasky, Jay F. Lofstead, Sarp Oral:
Predicting Output Performance of a Petascale Supercomputer. HPDC 2017: 181-192 - [c38]Ivo Jimenez, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau, Jay F. Lofstead, Carlos Maltzahn, Kathryn M. Mohror, Robert Ricci:
PopperCI: Automated reproducibility validation. INFOCOM Workshops 2017: 450-455 - [c37]Ivo Jimenez, Sina Hamedian, Jay F. Lofstead, Carlos Maltzahn, Kathryn M. Mohror, Remzi H. Arpaci-Dusseau, Andrea C. Arpaci-Dusseau, Robert Ricci:
Demo abstract: PopperCI: Automated reproducibility validation. INFOCOM Workshops 2017: 952-953 - [c36]Alexis Champsaur, Jay F. Lofstead, Jai Dayal, Matthew Wolf, Greg Eisenhauer, Patrick M. Widener, Ada Gavrilovska:
SmartBlock: An Approach to Standardizing In Situ Workflow Components. IPDPS Workshops 2017: 1301-1308 - [c35]Ivo Jimenez, Michael Sevilla, Noah Watkins, Carlos Maltzahn, Jay F. Lofstead, Kathryn M. Mohror, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau:
The Popper Convention: Making Reproducible Systems Evaluation Practical. IPDPS Workshops 2017: 1561-1570 - [c34]Margaret Lawson, Craig D. Ulmer, Shyamali Mukherjee, Gary Templet, Jay F. Lofstead, Scott Levy, Patrick M. Widener, Todd Kordenbrock:
Empress: extensible metadata provider for extreme-scale scientific simulations. PDSW-DISCS@SC 2017: 19-24 - [c33]Julian M. Kunkel, Jay F. Lofstead, Colin McMurtrie:
HPC I/O in the Data Center Workshop (HPC-IODC). ISC Workshops 2017: 127-131 - [c32]Bing Xie, Jeffrey S. Chase, David Dillow, Scott Klasky, Jay F. Lofstead, Sarp Oral, Norbert Podhorszki:
Output Performance Study on a Production Petascale Filesystem. ISC Workshops 2017: 187-200 - 2016
- [j3]Ivo Jimenez, Michael Sevilla, Noah Watkins, Carlos Maltzahn, Jay F. Lofstead, Kathryn M. Mohror, Remzi H. Arpaci-Dusseau, Andrea C. Arpaci-Dusseau:
Standing on the Shoulders of Giants by Managing Scientific Experiments Like Software. login Usenix Mag. 41(4) (2016) - [c31]Jay F. Lofstead, Alexis Champsaur, Jai Dayal, Matthew Wolf, Greg Eisenhauer:
SuperGlue: Standardizing Glue Components for HPC Workflows. CLUSTER 2016: 170-171 - [c30]Sagar Thapaliya, Purushotham V. Bangalore, Jay F. Lofstead, Kathryn M. Mohror, Adam Moody:
Managing I/O Interference in a Shared Burst Buffer System. ICPP 2016: 416-425 - [c29]Ivo Jimenez, Carlos Maltzahn, Jay F. Lofstead, Adam Moody, Kathryn M. Mohror, Remzi H. Arpaci-Dusseau, Andrea C. Arpaci-Dusseau:
Characterizing and Reducing Cross-Platform Performance Variability Using OS-Level Virtualization. IPDPS Workshops 2016: 1077-1080 - [c28]Jay F. Lofstead, Ivo Jimenez, Carlos Maltzahn, Quincey Koziol, John Bent, Eric Barton:
DAOS and friends: a proposal for an exascale storage system. SC 2016: 585-596 - [c27]Matthew L. Curry, H. Lee Ward, Geoff Danielson, Jay F. Lofstead:
An Overview of the Sirocco Parallel Storage System. ISC Workshops 2016: 121-129 - [c26]Jay F. Lofstead, Gregory Jean-Baptiste, Ron A. Oldfield:
Delta: Data Reduction for Integrated Application Workflows and Data Storage. ISC Workshops 2016: 142-152 - [i2]Ivo Jimenez, Carlos Maltzahn, Jay F. Lofstead, Adam Moody, Kathryn M. Mohror, Remzi H. Arpaci-Dusseau, Andrea C. Arpaci-Dusseau:
I Aver: Providing Declarative Experiment Specifications Facilitates the Evaluation of Computer Systems Research. Tiny Trans. Comput. Sci. 4 (2016) - 2015
- [c25]Jai Dayal, Jay F. Lofstead, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Hasan Abbasi, Scott Klasky:
SODA: Science-Driven Orchestration of Data Analytics. e-Science 2015: 475-484 - [c24]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:
System-Level Support for Composition of Applications. ROSS@HPDC 2015: 7:1-7:8 - [c23]Ivo Jimenez, Carlos Maltzahn, Adam Moody, Kathryn M. Mohror, Jay F. Lofstead, Remzi H. Arpaci-Dusseau, Andrea C. Arpaci-Dusseau:
The Role of Container Technology in Reproducible Computer Systems Research. IC2E 2015: 379-385 - [c22]Ivo Jimenez, Carlos Maltzahn, Jay F. Lofstead, Adam Moody, Kathryn M. Mohror, Remzi H. Arpaci-Dusseau, Andrea C. Arpaci-Dusseau:
Tackling the reproducibility problem in storage systems research with declarative experiment specifications. PDSW@SC 2015: 25-30 - [e1]Ali Raza Butt, Jay F. Lofstead:
Proceedings of the 10th Parallel Data Storage Workshop, PDSW 2015, Austin, Texas, USA, November 15, 2015. ACM 2015, ISBN 978-1-4503-4008-3 [contents] - 2014
- [j2]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:
Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks. Concurr. Comput. Pract. Exp. 26(7): 1453-1473 (2014) - [c21]Jay F. Lofstead, Ivo Jimenez, Carlos Maltzahn, Quincey Koziol, John Bent, Eric Barton:
An innovative storage stack addressing extreme scale platforms and Big Data applications. CLUSTER 2014: 280-281 - [c20]Sagar Thapaliya, Purushotham V. Bangalore, Jay F. Lofstead, Kathryn M. Mohror, Adam Moody:
IO-Cop: Managing Concurrent Accesses to Shared Parallel File System. ICPP Workshops 2014: 52-60 - [c19]Jay F. Lofstead, Ivo Jimenez, Carlos Maltzahn:
Consistency and Fault Tolerance Considerations for the Next Iteration of the DOE Fast Forward Storage and IO Project. ICPP Workshops 2014: 61-69 - [c18]Jay F. Lofstead, Jai Dayal, Ivo Jimenez, Carlos Maltzahn:
Efficient, failure resilient transactions for parallel and distributed computing. DISCS@SC 2014: 17-24 - [i1]Ivo Jimenez, Carlos Maltzahn, Jay F. Lofstead:
Distributed Versioned Object Storage - Alternatives at the OSD layer (Poster Extended Abstract). CoRR abs/1406.3699 (2014) - 2013
- [c17]Jay F. Lofstead, Ron A. Oldfield, Todd Kordenbrock:
Experiences Applying Data Staging Technology in Unconventional Ways. CCGRID 2013: 294-301 - [c16]Zhuo Liu, Jay F. Lofstead, Teng Wang, Weikuan Yu:
A case of system-wide power management for scientific applications. CLUSTER 2013: 1-8 - [c15]Jai Dayal, Jianting Cao, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Fang Zheng, Hasan Abbasi, Scott Klasky, Norbert Podhorszki, Jay F. Lofstead:
I/O Containers: Managing the Data Analytics and Visualization Pipelines of High End Codes. IPDPS Workshops 2013: 2015-2024 - [c14]Jay F. Lofstead, Jai Dayal, Ivo Jimenez, Carlos Maltzahn:
Efficient transactions for parallel data movement. PDSW@SC 2013: 1-6 - [c13]Jay F. Lofstead, Robert Ross:
Insights for exascale IO APIs from building a petascale IO API. SC 2013: 87:1-87:12 - 2012
- [j1]Ron A. Oldfield, Gregory D. Sjaardema, Gerald F. Lofstead II, Todd Kordenbrock:
Trilinos I/O Support (Trios). Sci. Program. 20(2): 181-196 (2012) - [c12]Jay F. Lofstead, Jai Dayal, Karsten Schwan, Ron A. Oldfield:
D2T: Doubly Distributed Transactions for High Performance and Distributed Computing. CLUSTER 2012: 90-98 - [c11]Jay F. Lofstead, Jai Dayal:
Extending MPI to Better Support Multi-application Interaction. EuroMPI 2012: 268-274 - 2011
- [c10]Yuan Tian, Scott Klasky, Hasan Abbasi, Jay F. Lofstead, Ray W. Grout, Norbert Podhorszki, Qing Liu, Yandong Wang, Weikuan Yu:
EDO: Improving Read Performance for Scientific Applications through Elastic Data Organization. CLUSTER 2011: 93-102 - [c9]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:
Skel: Generative Software for Producing Skeletal I/O Applications. e-Science Workshops 2011: 191-198 - [c8]Jay F. Lofstead, Milo Polte, Garth A. Gibson, Scott Klasky, Karsten Schwan, Ron A. Oldfield, Matthew Wolf, Qing Liu:
Six degrees of scientific data: reading patterns for extreme scale science IO. HPDC 2011: 49-60 - 2010
- [b1]Gerald Fredrick Lofstead:
Extreme scale data management in high performance computing. Georgia Institute of Technology, Atlanta, GA, USA, 2010 - [c7]Fang Zheng, Hasan Abbasi, Ciprian Docan, Jay F. Lofstead, Qing Liu, Scott Klasky, Manish Parashar, Norbert Podhorszki, Karsten Schwan, Matthew Wolf:
PreDatA - preparatory data analytics on peta-scale machines. IPDPS 2010: 1-12 - [c6]Julian Cummings, Jay F. Lofstead, Karsten Schwan, Alexander Sim, Arie Shoshani, Ciprian Docan, Manish Parashar, Scott Klasky, Norbert Podhorszki, Roselyne Barreto:
EFFIS: An End-to-end Framework for Fusion Integrated Simulation. PDP 2010: 428-434 - [c5]Jay F. Lofstead, Fang Zheng, Qing Liu, Scott Klasky, Ron A. Oldfield, Todd Kordenbrock, Karsten Schwan, Matthew Wolf:
Managing Variability in the IO Performance of Petascale Storage Systems. SC 2010: 1-12
2000 – 2009
- 2009
- [c4]Hasan Abbasi, Jay F. Lofstead, Fang Zheng, Karsten Schwan, Matthew Wolf, Scott Klasky:
Extending I/O through high performance data services. CLUSTER 2009: 1-10 - [c3]Jay F. Lofstead, Fang Zheng, Scott Klasky, Karsten Schwan:
Adaptable, metadata rich IO methods for portable high performance IO. IPDPS 2009: 1-10 - [c2]Norbert Podhorszki, Scott Klasky, Qing Liu, Ciprian Docan, Manish Parashar, Hasan Abbasi, Jay F. Lofstead, Karsten Schwan, Matthew Wolf, Fang Zheng, Julian Cummings:
Plasma fusion code coupling using scalable I/O services and scientific workflows. SC-WORKS 2009 - [p1]Scott Klasky, Hasan Abbasi, Viraj Bhat, Ciprian Docan, Steve Hodson, Chen Jin, Jay F. Lofstead, Manish Parashar, Karsten Schwan, Matthew Wolf:
High Throughput Data Movement. Scientific Data Management 2009 - 2008
- [c1]Jay F. Lofstead, Scott Klasky, Karsten Schwan, Norbert Podhorszki, Chen Jin:
Flexible IO and integration for scientific codes through the adaptable IO system (ADIOS). CLADE 2008: 15-24
Coauthor Index
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