Matthew Wolf

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 71

Top Venues

Publications

Runzhou Han, Chao Shi, Tabassum Mahmud, Zeren Yang, Vladislav Esaulov, Lipeng Wan, Yong Chen, Jim Wayda, Matthew Wolf, Mai Zheng
Revisiting Erasure Codes: A Configuration Perspective. HotStorage (2024)
Runzhou Han, Mai Zheng, Suren Byna, Houjun Tang, Bin Dong, Dong Dai, Yong Chen, Dongkyun Kim, Joseph Hassoun, David Thorsley, Matthew Wolf
PROV-IO+: A Cross-Platform Provenance Framework for Scientific Data on HPC Systems. CoRR (2023)
Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky
MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction. IEEE Trans. Computers 71 (7) (2022)
Sean R. Wilkinson, Greg Eisenhauer, Anuj J. Kapadia, Kathryn Knight, Jeremy Logan, Patrick M. Widener, Matthew Wolf
F*** workflows: when parts of FAIR are missing. e-Science (2022)
Kshitij Mehta, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Swati Singhal, Jong Youl Choi, Keichi Takahashi, Kevin A. Huck, Igor Yakushin, Alan Sussman, Todd S. Munson, Ian T. Foster, Scott Klasky
A codesign framework for online data analysis and reduction. Concurr. Comput. Pract. Exp. 34 (14) (2022)
Subhendu Behera, Lipeng Wan, Frank Mueller, Matthew Wolf, Scott Klasky
P-ckpt: Coordinated Prioritized Checkpointing. IPDPS (2022)
Eric Suchyta, Scott Klasky, Norbert Podhorszki, Matthew Wolf, Abolaji D. Adesoji, Choong-Seock Chang, Jong Choi, Philip E. Davis, Julien Dominski, Stéphane Ethier, Ian T. Foster, Kai Germaschewski, Berk Geveci, Chris Harris, Kevin A. Huck, Qing Liu, Jeremy Logan, Kshitij Mehta, Gabriele Merlo, Shirley V. Moore, Todd S. Munson, Manish Parashar, David Pugmire, Mark S. Shephard, Cameron W. Smith, Pradeep Subedi, Lipeng Wan, Ruonan Wang, Shuangxi Zhang
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. Int. J. High Perform. Comput. Appl. 36 (1) (2022)
Kshitij Mehta, Ashley Cliff, Frédéric Suter, Angelica M. Walker, Matthew Wolf, Daniel A. Jacobson, Scott Klasky
Running Ensemble Workflows at Extreme Scale: Lessons Learned and Path Forward. e-Science (2022)
Ryan Baker, John Garvey, Mitchell Kraft, Manoj Mathews, Kieran O. Connor, Matthew Wolf
Vehicle Guidance and Tracking Systems. CoRR (2022)
Addi Malviya-Thakur, Seth Hitefield, Marshall McDonnell, Matthew Wolf, Richard Archibald, Lance Drane, Kevin Roccapriore, Maxim A. Ziatdinov, Jesse McGaha, Robert Smith, John Hetrick, Mark Abraham, Sergey Yakubov, Gregory R. Watson, Ben Chance, Clara Nguyen, Matthew Baker, J. Robert Michael, Elke Arenholz, Ben Mintz
Towards a Software Development Framework for Interconnected Science Ecosystems. SMC (2022)
Sean R. Wilkinson, Greg Eisenhauer, Anuj J. Kapadia, Kathryn Knight, Jeremy Logan, Patrick M. Widener, Matthew Wolf
F*** workflows: when parts of FAIR are missing. CoRR (2022)
Sachith Withana, Kshitij Mehta, Matthew Wolf, Beth Plale
Towards System for Knowledge Representation of Campaign Experimentation. e-Science (2021)
Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Qian Gong, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR (2021)
Swati Singhal, Alan Sussman, Matthew Wolf, Kshitij Mehta, Jong Youl Choi
DYFLOW: A flexible framework for orchestrating scientific workflows on supercomputers. ICPP Workshops (2021)
Matthew Wolf, Jeremy Logan, Kshitij Mehta, Daniel A. Jacobson, Mikaela Cashman, Angelica M. Walker, Greg Eisenhauer, Patrick M. Widener, Ashley Clif
Reusability First: Toward FAIR Workflows. CLUSTER (2021)
Jeremy Logan, Greeshma A. Agasthya, Heidi Hanson, Matthew Wolf, Heechan Lee, Shaheen Dewji, Hong-Jun Yoon, Anuj J. Kapadia
Creating a Tools Ecosystem for Cross-Discipline Environmental Data Reuse. IEEE BigData (2021)
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M. Badia, Bartosz Balis, Tainã Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole A. Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel Laney, Ulf Leser, Maciej Malawski, Kshitij Mehta, Loïc Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya Ramakrishnan, Stian Soiland-Reyes, Douglas Thain, Matthew Wolf
A Community Roadmap for Scientific Workflows Research and Development. WORKS (2021)
Sachith Withana, Kshitij Mehta, Matthew Wolf, Beth Plale
Campaign Knowledge Network: Building Knowledge for Campaign Efficiency. CoRR (2021)
Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. IPDPS (2021)
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, Yadu N. Babuji, Rosa M. Badia, Vivien Bonazzi, Tainã Coleman, Michael R. Crusoe, Ewa Deelman, Frank Di Natale, Paolo Di Tommaso, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Alex Ganose, Björn A. Grüning, Daniel S. Katz, Olga Kuchar, Ana Kupresanin, Bertram Ludäscher, Ketan Maheshwari, Marta Mattoso, Kshitij Mehta, Todd S. Munson, Jonathan Ozik, Tom Peterka, Loic Pottier, Tim Randles, Stian Soiland-Reyes, Benjamín Tovar, Matteo Turilli, Thomas D. Uram, Karan Vahi, Michael Wilde, Matthew Wolf, Justin M. Wozniak
Workflows Community Summit: Bringing the Scientific Workflows Community Together. CoRR (2021)
Ian T. Foster, Mark Ainsworth, Julie Bessac, Franck Cappello, Jong Choi, Sheng Di, Zichao Wendy Di, Ali Murat Gok, Hanqi Guo, Kevin A. Huck, Christopher Kelly, Scott Klasky, Kerstin Kleese van Dam, Xin Liang, Kshitij Mehta, Manish Parashar, Tom Peterka, Line Pouchard, Tong Shu, Ozan Tugluk, Hubertus Van Dam, Lipeng Wan, Matthew Wolf, Justin M. Wozniak, Wei Xu, Igor Yakushin, Shinjae Yoo, Todd S. Munson
Online data analysis and reduction: An important Co-design motif for extreme-scale computers. Int. J. High Perform. Comput. Appl. 35 (6) (2021)
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, Yadu N. Babuji, Rosa M. Badia, Bartosz Balis, Silvina Caíno-Lores, Scott Callaghan, Frederik Coppens, Michael R. Crusoe, Kaushik De, Frank Di Natale, Tu Mai Anh Do, Bjoern Enders, Thomas Fahringer, Anne Fouilloux, Grigori Fursin, Alban Gaignard, Alex Ganose, Daniel Garijo, Sandra Gesing, Carole A. Goble, Adil Hasan, Sebastiaan Huber, Daniel S. Katz, Ulf Leser, Douglas Lowe, Bertram Ludäscher, Ketan Maheshwari, Maciej Malawski, Rajiv Mayani, Kshitij Mehta, André Merzky, Todd S. Munson, Jonathan Ozik, Loïc Pottier, Sashko Ristov, Mehdi Roozmeh, Renan Souza, Frédéric Suter, Benjamín Tovar, Matteo Turilli, Karan Vahi, Alvaro Vidal-Torreira, Wendy R. Whitcup, Michael Wilde, Alan Williams, Matthew Wolf, Justin M. Wozniak
Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development. CoRR (2021)
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M. Badia, Bartosz Balis, Tainã Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole A. Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel Laney, Ulf Leser, Maciej Malawski, Kshitij Mehta, Loïc Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya Ramakrishnan, Stian Soiland-Reyes, Douglas Thain, Matthew Wolf
A Community Roadmap for Scientific Workflows Research and Development. CoRR (2021)
James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire
Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale. LDAV (2020)
Jeremy Logan, Mark Ainsworth, Chuck Atkins, Jieyang Chen, Jong Choi, Junmin Gu, James Kress, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, Tahsin M. Kurç, Qing Liu, Kshitij Mehta, George Ostrouchov, Norbert Podhorszki, David Pugmire, Eric Suchyta, Nicholas Thompson, Ozan Tugluk, Lipeng Wan, Ruonan Wang, Ben Whitney, Matthew Wolf, Kesheng Wu, Scott Klasky
Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale. IEEE Data Eng. Bull. 43 (1) (2020)
Subhendu Behera, Lipeng Wan, Frank Mueller, Matthew Wolf, Scott Klasky
Orchestrating Fault Prediction with Live Migration and Checkpointing. HPDC (2020)
Jong Choi, Ruonan Wang, Randy Michael Churchill, Ralph Kube, Minjun Choi, Jinseop Park, Jeremy Logan, Kshitij Mehta, Greg Eisenhauer, Norbert Podhorszki, Matthew Wolf, Choong-Seock Chang, Scott Klasky
Data Federation Challenges in Remote Near-Real-Time Fusion Experiment Data Processing. SMC (2020)
Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky
MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management. CoRR (2020)
Tom Peterka, Deborah Bard, Janine C. Bennett, E. Wes Bethel, Ron A. Oldfield, Line Pouchard, Christine Sweeney, Matthew Wolf
Priority research directions for in situ data management: Enabling scientific discovery from diverse data sources. Int. J. High Perform. Comput. Appl. 34 (4) (2020)
James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire
Opportunities for Cost Savings with In-Transit Visualization. ISC (2020)
Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Dave Pugmire, Nicholas Thompson, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR (2020)
Igor Yakushin, Kshitij Mehta, Jieyang Chen, Matthew Wolf, Ian T. Foster, Scott Klasky, Todd S. Munson
Feature-preserving Lossy Compression for In Situ Data Analysis. ICPP Workshops (2020)
David Pugmire, James Kress, Jieyang Chen, Hank Childs, Jong Choi, Dmitry Ganyushin, Berk Geveci, Mark Kim, Scott Klasky, Xin Liang, Jeremy Logan, Nicole Marsaglia, Kshitij Mehta, Norbert Podhorszki, Caitlin Ross, Eric Suchyta, Nick Thompson, Steven Walton, Lipeng Wan, Matthew Wolf
Visualization as a Service for Scientific Data. SMC (2020)
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)
William F. Godoy, Norbert Podhorszki, Ruonan Wang, Chuck Atkins, Greg Eisenhauer, Junmin Gu, Philip E. Davis, Jong Choi, Kai Germaschewski, Kevin A. Huck, Axel Huebl, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Kshitij Mehta, George Ostrouchov, Manish Parashar, Franz Poeschel, David Pugmire, Eric Suchyta, Keichi Takahashi, Nick Thompson, Seiji Tsutsumi, Lipeng Wan, Matthew Wolf, Kesheng Wu, Scott Klasky
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. SoftwareX 12 (2020)
Burlen Loring, Matthew Wolf, James Kress, Sergei Shudler, Junmin Gu, Silvio Rizzi, Jeremy Logan, Nicola J. Ferrier, E. Wes Bethel
Improving Performance of M-to-N Processing and Data Redistribution in In Transit Analysis and Visualization. EGPGV@Eurographics/EuroVis (2020)
Jeremy Logan, Kshitij Mehta, Gerd Heber, Scott Klasky, Tahsin M. Kurç, Norbert Podhorszki, Patrick M. Widener, Matthew Wolf
A Vision for Managing Extreme-Scale Data Hoards. ICDCS (2019)
Dan Huang, Qing Liu, Jong Choi, Norbert Podhorszki, Scott Klasky, Jeremy Logan, George Ostrouchov, Xubin He, Matthew Wolf
Can I/O Variability Be Reduced on QoS-Less HPC Storage Systems? IEEE Trans. Computers 68 (5) (2019)
Kshitij Mehta, Ian T. Foster, Scott Klasky, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Jong Choi, Keichi Takahashi, Igor Yakushin, Todd S. Munson
A Codesign Framework for Online Data Analysis and Reduction. WORKS@SC (2019)
James Kress, Matthew Larsen, Jong Choi, Mark Kim, Matthew Wolf, Norbert Podhorszki, Scott Klasky, Hank Childs, David Pugmire
Comparing the Efficiency of In Situ Visualization Paradigms at Scale. ISC (2019)
Justin M. Wozniak, Matthieu Dorier, Robert B. Ross, Tong Shu, Tahsin M. Kurç, Li Tang, Norbert Podhorszki, Matthew Wolf
MPI jobs within MPI jobs: A practical way of enabling task-level fault-tolerance in HPC workflows. Future Gener. Comput. Syst. 101 (2019)
Thomas Marrinan, Greg Eisenhauer, Matthew Wolf, Joseph A. Insley, Silvio Rizzi, Michael E. Papka
Parallel streaming between heterogeneous HPC resources for real-time analysis. J. Comput. Sci. 31 (2019)
Matthew Wolf, Julien Dominski, Gabriele Merlo, Jong Choi, Greg Eisenhauer, Stéphane Ethier, Kevin A. Huck, Scott Klasky, Jeremy Logan, Allen D. Malony, Chad Wood
Scalable Performance Awareness for In Situ Scientific Applications. eScience (2019)
Tao Lu, Qing Liu, Xubin He, Huizhang Luo, Eric Suchyta, Jong Choi, Norbert Podhorszki, Scott Klasky, Matthew Wolf, Tong Liu, Zhenbo Qiao
Understanding and Modeling Lossy Compression Schemes on HPC Scientific Data. IPDPS (2018)
Mark Kim, James Kress, Jong Choi, Norbert Podhorszki, Scott Klasky, Matthew Wolf, Kshitij Mehta, Kevin A. Huck, Berk Geveci, Sujin Phillip, Robert Maynard, Hanqi Guo, Tom Peterka, Kenneth Moreland, Choong-Seock Chang, Julien Dominski, Michael Churchill, David Pugmire
In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned. ISC Workshops (2018)
Scott Klasky, Matthew Wolf, Mark Ainsworth, Chuck Atkins, Jong Choi, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, James Kress, Tahsin M. Kurç, Qing Liu, Jeremy Logan, Arthur B. Maccabe, Kshitij Mehta, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Eric Suchyta, Lipeng Wan, Ruonan Wang
A View from ORNL: Scientific Data Research Opportunities in the Big Data Age. ICDCS (2018)
Jong Youl Choi, Choong-Seock Chang, Julien Dominski, Scott Klasky, Gabriele Merlo, Eric Suchyta, Mark Ainsworth, Bryce Allen, Franck Cappello, Michael Churchill, Philip E. Davis, Sheng Di, Greg Eisenhauer, Stéphane Ethier, Ian T. Foster, Berk Geveci, Hanqi Guo, Kevin A. Huck, Frank Jenko, Mark Kim, James Kress, Seung-Hoe Ku, Qing Liu, Jeremy Logan, Allen D. Malony, Kshitij Mehta, Kenneth Moreland, Todd S. Munson, Manish Parashar, Tom Peterka, Norbert Podhorszki, Dave Pugmire, Ozan Tugluk, Ruonan Wang, Ben Whitney, Matthew Wolf, Chad Wood
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. eScience (2018)
Chao Chen, Greg Eisenhauer, Matthew Wolf, Santosh Pande
LADR: low-cost application-level detector for reducing silent output corruptions. HPDC (2018)
Xin Chen, Liting Hu, Douglas M. Blough, Michael A. Kozuch, Matthew Wolf
RBAY: A Scalable and Extensible Information Plane for Federating Distributed Datacenter Resources. ICDCS (2017)
Tao Lu, Eric Suchyta, Jong Youl Choi, Norbert Podhorszki, Scott Klasky, Qing Liu, David Pugmire, Matthew Wolf, Mark Ainsworth
Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring. HotStorage (2017)
Erich Lohrmann, Greg Eisenhauer, Matthew Wolf
Introducing Weirs: An Abstraction for Next Generation Streaming Workflows. CLUSTER (2017)
Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky
Comprehensive Measurement and Analysis of the User-Perceived I/O Performance in a Production Leadership-Class Storage System. ICDCS (2017)
Jeremy Logan, Jong Youl Choi, Matthew Wolf, George Ostrouchov, Lipeng Wan, Norbert Podhorszki, William F. Godoy, Scott Klasky, Erich Lohrmann, Greg Eisenhauer, Chad Wood, Kevin A. Huck
Extending Skel to Support the Development and Optimization of Next Generation I/O Systems. CLUSTER (2017)
Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky
Analysis and Modeling of the End-to-End I/O Performance on OLCF's Titan Supercomputer. HPCC/SmartCity/DSS (2017)
Scott Klasky, Eric Suchyta, Mark Ainsworth, Qing Liu, Ben Whitney, Matthew Wolf, Jong Youl Choi, Ian T. Foster, Mark Kim, Jeremy Logan, Kshitij Mehta, Todd S. Munson, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Lipeng Wan
Exacution: Enhancing Scientific Data Management for Exascale. ICDCS (2017)
Tao Lu, Eric Suchyta, David Pugmire, Jong Choi, Scott Klasky, Qing Liu, Norbert Podhorszki, Mark Ainsworth, Matthew Wolf
Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage. CLUSTER (2017)
Qing Liu, Norbert Podhorszki, Jong Youl Choi, Jeremy Logan, Matthew Wolf, Scott Klasky, Tahsin M. Kurç, Xubin He
StoreRush: An Application-Level Approach to Harvesting Idle Storage in a Best Effort Environment. ICCS (2017)
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)
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, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kurç, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par (2017)
Jong Youl Choi, Jeremy Logan, Matthew Wolf, George Ostrouchov, Tahsin M. Kurç, Qing Liu, Norbert Podhorszki, Scott Klasky, Melissa Romanus, Qian Sun, Manish Parashar, Randy Michael Churchill, Choong-Seock Chang
TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping. CLUSTER (2017)
Jay F. Lofstead, Alexis Champsaur, Jai Dayal, Matthew Wolf, Greg Eisenhauer
SuperGlue: Standardizing Glue Components for HPC Workflows. CLUSTER (2016)
Dipanjan Sengupta, Narayanan Sundaram, Xia Zhu, Theodore L. Willke, Jeffrey S. Young, Matthew Wolf, Karsten Schwan
GraphIn: An Online High Performance Incremental Graph Processing Framework. Euro-Par (2016)
David Pugmire, James Kress, Jong Youl Choi, Scott Klasky, Tahsin M. Kurç, Michael Churchill, Matthew Wolf, Greg Eisenhauer, Hank Childs, Kesheng Wu, Alexander Sim, Junmin Gu, Jonathan Low
Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows. IPDPS Workshops (2016)
Anshuman Goswami, Yuan Tian, Karsten Schwan, Fang Zheng, Jeffrey S. Young, Matthew Wolf, Greg Eisenhauer, Scott Klasky
Landrush: Rethinking In-Situ Analysis for GPGPU Workflows. CCGrid (2016)
Matthew Wolf, Suzanne Miller, Doug DeJong, John A. House, Carl Dirks, Brent Beasley
The process of development of a prioritization tool for a clinical decision support build within a computerized provider order entry system: Experiences from St Luke's Health System. Health Informatics J. 22 (3) (2016)
Utkarsh Ayachit, Brad Whitlock, Matthew Wolf, Burlen Loring, Berk Geveci, David Lonie, E. Wes Bethel
The SENSEI Generic In Situ Interface. ISAV@SC (2016)
Xuechen Zhang, Fang Zheng, Karsten Schwan, Matthew Wolf
FlashStager: Improving the Performance of SSD-Based Data Staging Systems via Write Redirection. CLUSTER (2016)
Anshuman Goswami, Jeffrey S. Young, Karsten Schwan, Naila Farooqui, Ada Gavrilovska, Matthew Wolf, Greg Eisenhauer
GPUShare: Fair-Sharing Middleware for GPU Clouds. IPDPS Workshops (2016)
Utkarsh Ayachit, Andrew C. Bauer, Earl P. N. Duque, Greg Eisenhauer, Nicola J. Ferrier, Junmin Gu, Kenneth E. Jansen, Burlen Loring, Zarija Lukic, Suresh Menon, Dmitriy Morozov, Patrick O'Leary, Reetesh Ranjan, Michel E. Rasquin, Christopher P. Stone, Venkatram Vishwanath, Gunther H. Weber, Brad Whitlock, Matthew Wolf, K. John Wu, E. Wes Bethel
infrastructures. SC (2016)
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)
Yanwei Zhang, Matthew Wolf, Karsten Schwan, Qing Liu, Greg Eisenhauer, Scott Klasky
Co-sites: the autonomous distributed dataflows in collaborative scientific discovery. WORKS@SC (2015)
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) (2014)
Jian Huang, Xuechen Zhang, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Stéphane Ethier, Scott Klasky
Scibox: Online Sharing of Scientific Data via the Cloud. IPDPS (2014)
Jai Dayal, Drew Bratcher, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Xuechen Zhang, Hasan Abbasi, Scott Klasky, Norbert Podhorszki
Flexpath: Type-Based Publish/Subscribe System for Large-Scale Science Analytics. CCGRID (2014)
Yanwei Zhang, Qing Liu, Scott Klasky, Matthew Wolf, Karsten Schwan, Greg Eisenhauer, Jong Youl Choi, Norbert Podhorszki
Active workflow system for near real-time extreme-scale science. PPAA@PPoPP (2014)
Magdalena Slawiñska, Michael Clark, Matthew Wolf, Tanja Bode, Hongbo Zou, Pablo Laguna, Jeremy Logan, Matthew Kinsey, Scott Klasky
A Maya use case: adaptable scientific workflows with ADIOS for general relativistic astrophysics. XSEDE (2013)
Hongbo Zou, Karsten Schwan, Magdalena Slawiñska, Matthew Wolf, Greg Eisenhauer, Fang Zheng, Jai Dayal, Jeremy Logan, Qing Liu, Scott Klasky, Tanja Bode, Michael Clark, Matthew Kinsey
FlexQuery: An online query system for interactive remote visual data exploration at large scale. CLUSTER (2013)
Fang Zheng, Hongfeng Yu, Can Hantas, Matthew Wolf, Greg Eisenhauer, Karsten Schwan, Hasan Abbasi, Scott Klasky
GoldRush: resource efficient in situ scientific data analytics using fine-grained interference aware execution. SC (2013)
Richard A. Brown, Joel C. Adams, David P. Bunde, Jens Mache, Elizabeth Shoop, Michael A. Smith, Paul F. Steinberg, Matthew Wolf
Multi-course approaches to curriculum 2013's parallel and distributed computing (abstract only). SIGCSE (2013)
Roselyne Tchoua, Jong Youl Choi, Scott Klasky, Qing Liu, Jeremy Logan, Kenneth Moreland, Jingqing Mu, Manish Parashar, Norbert Podhorszki, David Pugmire, Matthew Wolf
ADIOS Visualization Schema: A First Step Towards Improving Interdisciplinary Collaboration in High Performance Computing. e-Science (2013)
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)
Tuan-Anh Nguyen, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Hasan Abbasi, Scott Klasky, Norbert Podhorszki
Resource Provisioning for Staging Components. IPDPS Workshops (2013)
Fang Zheng, Hongbo Zou, Greg Eisenhauer, Karsten Schwan, Matthew Wolf, Jai Dayal, Tuan-Anh Nguyen, Jianting Cao, Hasan Abbasi, Scott Klasky, Norbert Podhorszki, Hongfeng Yu
FlexIO: I/O Middleware for Location-Flexible Scientific Data Analytics. IPDPS (2013)
Jeremy Logan, Scott Klasky, Hasan Abbasi, Qing Liu, George Ostrouchov, Manish Parashar, Norbert Podhorszki, Yuan Tian, Matthew Wolf
Understanding I/O Performance Using I/O Skeletal Applications. Euro-Par (2012)
Chengwei Wang, Infantdani Abel Rayan, Greg Eisenhauer, Karsten Schwan, Vanish Talwar, Matthew Wolf, Chad Huneycutt
VScope: Middleware for Troubleshooting Time-Sensitive Data Center Applications. Middleware (2012)
Yuan Tian, Scott Klasky, Weikuan Yu, Hasan Abbasi, Bin Wang, Norbert Podhorszki, Ray W. Grout, Matthew Wolf
A system-aware optimized data organization for efficient scientific analytics. HPDC (2012)
Richard A. Brown, Elizabeth Shoop, Joel C. Adams, David P. Bunde, Jens Mache, Paul F. Steinberg, Matthew Wolf, Michael Wrinn
Sharing incremental approaches for adding parallelism to CS curricula (abstract only). SIGCSE (2012)
Jong Youl Choi, Hasan Abbasi, David Pugmire, Norbert Podhorszki, Scott Klasky, Cristian Capdevila, Manish Parashar, Matthew Wolf, Judy Qiu, Geoffrey C. Fox
Mining hidden mixture context with ADIOS-P to improve predictive pre-fetcher accuracy. eScience (2012)
Yuan Tian, Scott Klasky, Weikuan Yu, Hasan Abbasi, Bin Wang, Norbert Podhorszki, Ray W. Grout, Matthew Wolf
SMART-IO: SysteM-AwaRe Two-Level Data Organization for Efficient Scientific Analytics. MASCOTS (2012)
Roselyne Tchoua, Hasan Abbasi, Scott Klasky, Qing Liu, Norbert Podhorszki, David Pugmire, Yuan Tian, Matthew Wolf
Collaborative monitoring and visualization of HPC data. CTS (2012)
Hongbo Zou, Fang Zheng, Matthew Wolf, Greg Eisenhauer, Karsten Schwan, Hasan Abbasi, Qing Liu, Norbert Podhorszki, Scott Klasky
Quality-Aware Data Management for Large Scale Scientific Applications. SC Companion (2012)
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)
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)
Hasan Abbasi, Greg Eisenhauer, Matthew Wolf, Karsten Schwan, Scott Klasky
Just in time: adding value to the IO pipelines of high performance applications with JITStaging. HPDC (2011)
Greg Eisenhauer, Matthew Wolf, Hasan Abbasi, Scott Klasky, Karsten Schwan
A Type System for High Performance Communication and Computation. e-Science Workshops (2011)
Chengwei Wang, Karsten Schwan, Vanish Talwar, Greg Eisenhauer, Liting Hu, Matthew Wolf
A flexible architecture integrating monitoring and analytics for managing large-scale data centers. ICAC (2011)
Patrick M. Widener, Matthew Wolf, Hasan Abbasi, Scott McManus, Mary Payne, Matthew J. Barrick, Jack Pulikottil, Patrick G. Bridges, Karsten Schwan
Exploiting Latent I/O Asynchrony in Petascale Science Applications. Int. J. High Perform. Comput. Appl. 25 (2) (2011)
Mahendra Kutare, Greg Eisenhauer, Chengwei Wang, Karsten Schwan, Vanish Talwar, Matthew Wolf
Monalytics: online monitoring and analytics for managing large scale data centers. ICAC (2010)
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)
Hasan Abbasi, Matthew Wolf, Greg Eisenhauer, Scott Klasky, Karsten Schwan, Fang Zheng
DataStager: scalable data staging services for petascale applications. Clust. Comput. 13 (3) (2010)

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Matthew Wolf