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ORCIDIan T. Foster
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- affiliation: University of Chicago, IL, USA
- affiliation: Argonne National Laboratory, Lemont, IL, USA
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2020 – today
- 2021
[j148]George Papadimitriou, Cong Wang, Karan Vahi, Rafael Ferreira da Silva, Anirban Mandal, Zhengchun Liu, Rajiv Mayani, Mats Rynge, Mariam Kiran, Vickie E. Lynch, Rajkumar Kettimuthu, Ewa Deelman, Jeffrey S. Vetter, Ian T. Foster:
End-to-end online performance data capture and analysis for scientific workflows. Future Gener. Comput. Syst. 117: 387-400 (2021)- [j147]Zhuozhao Li, Ryan Chard, Logan T. Ward, Kyle Chard, Tyler J. Skluzacek, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster:
DLHub: Simplifying publication, discovery, and use of machine learning models in science. J. Parallel Distributed Comput. 147: 64-76 (2021) - [c368]Tong Shu, Yanfei Guo, Justin M. Wozniak, Xiaoning Ding, Ian T. Foster, Tahsin M. Kurç:
In-situ workflow auto-tuning through combining component models. PPoPP 2021: 467-468 - [i64]Thomas M. Conte, Ian T. Foster, William Gropp, Mark D. Hill:
Advancing Computing's Foundation of US Industry & Society. CoRR abs/2101.01284 (2021) - [i63]Zhi Hong, J. Gregory Pauloski, Logan T. Ward, Kyle Chard, Ben Blaiszik, Ian T. Foster:
AI- and HPC-enabled Lead Generation for SARS-CoV-2: Models and Processes to Extract Druglike Molecules Contained in Natural Language Text. CoRR abs/2101.04617 (2021) - [i62]Jiali Wang, Zhengchun Liu, Ian T. Foster, Won Chang, Rajkumar Kettimuthu, Rao Kotamarthi:
Fast and accurate learned multiresolution dynamical downscaling for precipitation. CoRR abs/2101.06813 (2021) - 2020
- [j146]Raffaele Montella
, Alison Brizius, Diana Di Luccio, Cheryl H. Porter, Joshua Elliott, Ravi K. Madduri, David Kelly, Angelo Riccio, Ian T. Foster:
Using the FACE-IT portal and workflow engine for operational food quality prediction and assessment: An application to mussel farms monitoring in the Bay of Napoli, Italy. Future Gener. Comput. Syst. 110: 453-467 (2020) - [c367]Ryan Chard, Yadu N. Babuji, Zhuozhao Li, Tyler J. Skluzacek, Anna Woodard, Ben Blaiszik, Ian T. Foster, Kyle Chard:
funcX: A Federated Function Serving Fabric for Science. HPDC 2020: 65-76 - [c366]Zhi Hong, Roselyne Tchoua, Kyle Chard, Ian T. Foster:
SciNER: Extracting Named Entities from Scientific Literature. ICCS (2) 2020: 308-321 - [c365]Igor Yakushin, Kshitij Mehta, Jieyang Chen, Matthew Wolf, Ian T. Foster, Scott Klasky, Todd Munson:
Feature-preserving Lossy Compression for In Situ Data Analysis. ICPP Workshops 2020: 10:1-10:9 - [c364]Zhengchun Liu, Ryan Lewis, Rajkumar Kettimuthu, Kevin Harms, Philip H. Carns, Nageswara S. V. Rao, Ian T. Foster, Michael E. Papka:
Characterization and identification of HPC applications at leadership computing facility. ICS 2020: 29:1-29:12 - [c363]Zhao Zhang, Lei Huang, J. Gregory Pauloski, Ian T. Foster:
Efficient I/O for Neural Network Training with Compressed Data. IPDPS 2020: 409-418 - [c362]Tekin Bicer, Viktor Nikitin, Selin Aslan, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster:
Tomographic Reconstruction of Dynamic Features with Streaming Sliding Subsets. XLOOP@SC 2020: 8-15 - [c361]Maksim Levental, Ryan Chard, Joseph A. Libera, Kyle Chard, Aarthi Koripelly, Jakob R. Elias, Marcus Schwarting, Ben Blaiszik, Marius Stan, Santanu Chaudhuri, Ian T. Foster:
Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis. XLOOP@SC 2020: 35-40 - [c360]Mert Hidayetoglu, Tekin Bicer, Simon Garcia De Gonzalo, Bin Ren, Vincent De Andrade, Doga Gürsoy, Raj Kettimuthu, Ian T. Foster, Wen-mei W. Hwu:
Petascale XCT: 3D image reconstruction with hierarchical communications on multi-GPU nodes. SC 2020: 37 - [c359]J. Gregory Pauloski, Zhao Zhang, Lei Huang, Weijia Xu, Ian T. Foster:
Convolutional neural network training with distributed K-FAC. SC 2020: 94 - [c358]Jakob R. Elias, Ryan Chard, Joseph A. Libera, Ian T. Foster, Santanu Chaudhuri:
The Manufacturing Data and Machine Learning Platform: Enabling Real-time Monitoring and Control of Scientific Experiments via IoT. WF-IoT 2020: 1-2 - [c357]Jason Alt, Rachana Ananthakrishnan, Kyle Chard, Ryan Chard, Ian T. Foster, Lee Liming, Steven Tuecke:
OAuth SSH with Globus Auth. PEARC 2020: 34-40 - [c356]Rachana Ananthakrishnan, Kyle Chard, Mike D'Arcy, Ian T. Foster, Carl Kesselman, Brendan McCollam, Jim Pruyne, Philippe Rocca-Serra, Robert Schuler, Rick Wagner:
An Open Ecosystem for Pervasive Use of Persistent Identifiers. PEARC 2020: 99-105 - [e9]Ian T. Foster, Gerhard R. Joubert, Ludek Kucera, Wolfgang E. Nagel, Frans J. Peters:
Parallel Computing: Technology Trends, Proceedings of the International Conference on Parallel Computing, PARCO 2019, Prague, Czech Republic, September 10-13, 2019. Advances in Parallel Computing 36, IOS Press 2020, ISBN 978-1-64368-070-5 [contents] - [i61]Justin M. Wozniak, Hemant Sharma, Timothy G. Armstrong, Michael Wilde, Jonathan D. Almer, Ian T. Foster:
Big Data Staging with MPI-IO for Interactive X-ray Science. CoRR abs/2002.06258 (2020) - [i60]Ryan Chard, Yadu N. Babuji, Zhuozhao Li, Tyler J. Skluzacek, Anna Woodard, Ben Blaiszik, Ian T. Foster, Kyle Chard:
funcX: A Federated Function Serving Fabric for Science. CoRR abs/2005.04215 (2020) - [i59]Jakob R. Elias, Ryan Chard, Joseph A. Libera, Ian T. Foster, Santanu Chaudhuri:
The Manufacturing Data and Machine Learning Platform: Enabling Real-time Monitoring and Control of Scientific Experiments via IoT. CoRR abs/2005.13669 (2020) - [i58]Yadu N. Babuji, Ben Blaiszik, Tom Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Ian T. Foster, Zhi Hong, Shantenu Jha, Zhuozhao Li, Xuefeng Liu, Arvind Ramanathan, Yi Ren, Nicholaus Saint, Marcus Schwarting, Rick Stevens, Hubertus Van Dam, Rick Wagner:
Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release. CoRR abs/2006.02431 (2020) - [i57]J. Gregory Pauloski, Zhao Zhang, Lei Huang, Weijia Xu, Ian T. Foster:
Convolutional Neural Network Training with Distributed K-FAC. CoRR abs/2007.00784 (2020) - [i56]Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Dave Pugmire, Nicholas Thompson, Matthew Wolf, Todd Munson, Ian T. Foster, Scott Klasky:
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR abs/2007.04457 (2020) - [i55]Tong Shu, Yanfei Guo, Justin M. Wozniak, Xiaoning Ding, Ian T. Foster, Tahsin M. Kurç:
In-situ Workflow Auto-tuning via Combining Performance Models of Component Applications. CoRR abs/2008.06991 (2020) - [i54]Zhengchun Liu, Hemant Sharma, Jun-Sang Park, Peter Kenesei, Jonathan D. Almer, Rajkumar Kettimuthu, Ian T. Foster:
BraggNN: Fast X-ray Bragg Peak Analysis Using Deep Learning. CoRR abs/2008.08198 (2020) - [i53]Ian T. Foster, Carl Kesselman:
Translating the Grid: How a Translational Approach Shaped the Development of Grid Computing. CoRR abs/2008.09591 (2020) - [i52]Raul Castro Fernandez, Kyle Chard, Ben Blaiszik, Sanjay Krishnan, Aaron J. Elmore, Ziad Obermeyer, Josh Risley, Sendhil Mullainathan, Michael J. Franklin, Ian T. Foster:
The Data Station: Combining Data, Compute, and Market Forces. CoRR abs/2009.00035 (2020) - [i51]Zhengchun Liu, Rajkumar Kettimuthu, Joaquín Chung, Rachana Ananthakrishnan, Michael Link, Ian T. Foster:
Design and Evaluation of a Simple Data Interface for Efficient Data Transfer Across Diverse Storage. CoRR abs/2009.03190 (2020) - [i50]Mert Hidayetoglu, Tekin Bicer, Simon Garcia De Gonzalo, Bin Ren, Vincent De Andrade, Doga Gürsoy, Raj Kettimuthu, Ian T. Foster, Wen-mei W. Hwu:
Petascale XCT: 3D Image Reconstruction with Hierarchical Communications on Multi-GPU Nodes. CoRR abs/2009.07226 (2020) - [i49]Aymen Al Saadi, Dario Alfè, Yadu N. Babuji, Agastya Bhati, Ben Blaiszik, Thomas S. Brettin, Kyle Chard, Ryan Chard, Peter V. Coveney, Anda Trifan, Alex Brace, Austin Clyde, Ian T. Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Thorsten Kurth, Dieter Kranzlmüller, Hyungro Lee, Zhuozhao Li, Heng Ma, André Merzky, Gerald Mathias, Alexander Partin, Junqi Yin, Arvind Ramanathan, Ashka Shah, Abraham Stern, Rick Stevens, Li Tan, Mikhail Titov, Aristeidis Tsaris, Matteo Turilli, Huub J. J. Van Dam, Shunzhou Wan, David Wifling:
IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads. CoRR abs/2010.06574 (2020) - [i48]Maksim Levental, Ryan Chard, Joseph A. Libera, Kyle Chard, Aarthi Koripelly, Jakob R. Elias, Marcus Schwarting, Ben Blaiszik, Marius Stan, Santanu Chaudhuri, Ian T. Foster:
Towards Online Steering of Flame Spray Pyrolysis Nanoparticle Synthesis. CoRR abs/2010.08486 (2020) - [i47]Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd Munson, Ian T. Foster:
FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking. CoRR abs/2011.08697 (2020) - [i46]Sutanay Choudhury, Jenna A. Bilbrey, Logan T. Ward, Sotiris S. Xantheas, Ian T. Foster, Joseph P. Heindel, Ben Blaiszik, Marcus E. Schwarting:
HydroNet: Benchmark Tasks for Preserving Intermolecular Interactions and Structural Motifs in Predictive and Generative Models for Molecular Data. CoRR abs/2012.00131 (2020) - [i45]Ian T. Foster, David C. Parkes, Stephan Zheng:
The Rise of AI-Driven Simulators: Building a New Crystal Ball. CoRR abs/2012.06049 (2020) - [i44]E. A. Huerta, Asad Khan, Xiaobo Huang, Minyang Tian, Maksim Levental, Ryan Chard, Wei Wei, Maeve Heflin, Daniel S. Katz, Volodymyr V. Kindratenko, Dawei Mu, Ben Blaiszik, Ian T. Foster:
Confluence of Artificial Intelligence and High Performance Computing for Accelerated, Scalable and Reproducible Gravitational Wave Detection. CoRR abs/2012.08545 (2020) - [i43]William Gropp, Sujata Banerjee, Ian T. Foster:
Infrastructure for Artificial Intelligence, Quantum and High Performance Computing. CoRR abs/2012.09303 (2020)
2010 – 2019
- 2019
- [j145]Raffaele Montella, Diana Di Luccio, Livia Marcellino, Ardelio Galletti, Sokol Kosta, Giulio Giunta, Ian T. Foster:
Workflow-based automatic processing for Internet of Floating Things crowdsourced data. Future Gener. Comput. Syst. 94: 103-119 (2019) - [c355]Matt Baughman, Nifesh Chakubaji, Hong-Linh Truong, Krists Kreics, Kyle Chard, Ian T. Foster:
Measuring, Quantifying, and Predicting the Cost-Accuracy Tradeoff. BigData 2019: 3616-3622 - [c354]Yuanlai Liu, Zhengchun Liu, Rajkumar Kettimuthu, Nageswara S. V. Rao, Zizhong Chen, Ian T. Foster:
Data Transfer between Scientific Facilities - Bottleneck Analysis, Insights and Optimizations. CCGRID 2019: 122-131 - [c353]Chaofeng Wu, Ian T. Foster, Ted Summer, Zhuozhao Li, Anna Woodard, Ryan Chard, Matt Baughman, Yadu N. Babuji, Kyle Chard, Jason Pitt:
ParaOpt: Automated Application Parameterization and Optimization for the Cloud. CloudCom 2019: 255-262 - [c352]Arnab Kumar Paul, Ryan Chard, Kyle Chard, Steven Tuecke, Ali Raza Butt, Ian T. Foster:
FSMonitor: Scalable File System Monitoring for Arbitrary Storage Systems. CLUSTER 2019: 1-11 - [c351]Roselyne Tchoua, Aswathy Ajith, Zhi Hong, Logan T. Ward, Kyle Chard, Debra Audus, Shrayesh Patel, Juan de Pablo, Ian T. Foster:
Active Learning Yields Better Training Data for Scientific Named Entity Recognition. eScience 2019: 126-135 - [c350]Joaquín Chung, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Toward an Elastic Data Transfer Infrastructure. eScience 2019: 262-265 - [c349]Kyle Chard, Ian T. Foster:
Serverless Science for Simple, Scalable, and Shareable Scholarship. eScience 2019: 432-438 - [c348]Matt Baughman, Simon Caton, Christian Haas, Ryan Chard, Rich Wolski, Ian T. Foster, Kyle Chard:
Deconstructing the 2017 Changes to AWS Spot Market Pricing. ScienceCloud@HPDC 2019: 19-26 - [c347]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:
Parsl: Pervasive Parallel Programming in Python. HPDC 2019: 25-36 - [c346]Roselyne B. Tchoua, Aswathy Ajith, Zhi Hong, Logan T. Ward, Kyle Chard, Alexander Belikov, Debra J. Audus, Shrayesh Patel, Juan J. de Pablo, Ian T. Foster:
Creating Training Data for Scientific Named Entity Recognition with Minimal Human Effort. ICCS (1) 2019: 398-411 - [c345]Nageswara S. V. Rao, Qiang Liu, Satyabrata Sen, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Measurements and analytics of wide-area file transfers over dedicated connections. ICDCN 2019: 183-192 - [c344]Joaquín Chung, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Elastic Data Transfer Infrastructure (DTI) on the Chameleon Cloud. ICNP 2019: 1-2 - [c343]Raffaele Montella, Diana Di Luccio, Angelo Ciaramella, Ian T. Foster:
StormSeeker: A Machine-Learning-Based Mediterranean Storm Tracer. IDCS 2019: 444-456 - [c342]Ian T. Foster:
Coding the Continuum. IPDPS 2019: 1 - [c341]Ryan Chard, Zhuozhao Li, Kyle Chard, Logan T. Ward, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster:
DLHub: Model and Data Serving for Science. IPDPS 2019: 283-292 - [c340]Dipendra Jha, Logan T. Ward, Zijiang Yang, Christopher Wolverton, Ian T. Foster, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery. KDD 2019: 2385-2393 - [c339]Tyler J. Skluzacek, Ryan Chard, Ryan Wong, Zhuozhao Li, Yadu N. Babuji, Logan T. Ward, Ben Blaiszik, Kyle Chard, Ian T. Foster:
Serverless Workflows for Indexing Large Scientific Data. WOSC@Middleware 2019: 43-48 - [c338]Nageswara S. V. Rao, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Machine Learning Methods for Connection RTT and Loss Rate Estimation Using MPI Measurements Under Random Losses. MLN 2019: 154-174 - [c337]Vibhatha Abeykoon, Zhengchun Liu, Rajkumar Kettimuthu, Geoffrey C. Fox, Ian T. Foster:
Scientific Image Restoration Anywhere. XLOOP@SC 2019: 8-13 - [c336]Kshitij Mehta, Ian T. Foster, Scott Klasky, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Jong Choi, Keichi Takahashi, Igor Yakushin, Todd Munson:
A Codesign Framework for Online Data Analysis and Reduction. WORKS@SC 2019: 11-20 - [c335]Nageswara S. V. Rao, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Estimation of RTT and Loss Rate of Wide-Area Connections Using MPI Measurements. INDIS@SC 2019: 17-24 - [c334]Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster:
Deep Learning Accelerated Light Source Experiments. DLS@SC 2019: 20-28 - [c333]Zhao Zhang, Lei Huang, J. Gregory Pauloski, Ian T. Foster:
Aggregating Local Storage for Scalable Deep Learning I/O. DLS@SC 2019: 69-75 - [c332]Mert Hidayetoglu, Tekin Biçer, Simon Garcia De Gonzalo, Bin Ren, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster, Wen-mei W. Hwu:
MemXCT: memory-centric X-ray CT reconstruction with massive parallelization. SC 2019: 85:1-85:56 - [c331]Sandro Fiore, Donatello Elia, Cosimo Palazzo, Fabrizio Antonio, Alessandro D'Anca, Ian T. Foster, Giovanni Aloisio:
Towards High Performance Data Analytics for Climate Change. ISC Workshops 2019: 240-257 - [c330]Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Ian T. Foster, Michael Wilde, Kyle Chard:
Scalable Parallel Programming in Python with Parsl. PEARC 2019: 22:1-22:8 - [c329]William E. Allcock, Benjamin S. Allen, Rachana Ananthakrishnan, Ben Blaiszik, Kyle Chard, Ryan Chard, Ian T. Foster, Lukasz Lacinski, Michael E. Papka, Rick Wagner:
Petrel: A Programmatically Accessible Research Data Service. PEARC 2019: 49:1-49:7 - [c328]Ryan Chard, Logan T. Ward, Zhuozhao Li, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Kyle Chard, Ben Blaiszik, Ian T. Foster:
Publishing and Serving Machine Learning Models with DLHub. PEARC 2019: 73:1-73:7 - [i42]Mike D'Arcy, Kyle Chard, Ian T. Foster, Carl Kesselman, Ravi K. Madduri, Nickolaus Saint, Rick Wagner:
Big Data Bags: A Scalable Packaging Format for Science. RO 2019 - [i41]Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Doga Gürsoy, Francesco De Carlo, Ian T. Foster:
TomoGAN: Low-Dose X-Ray Tomography with Generative Adversarial Networks. CoRR abs/1902.07582 (2019) - [i40]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:
Parsl: Pervasive Parallel Programming in Python. CoRR abs/1905.02158 (2019) - [i39]Dipendra Jha, Logan T. Ward, Zijiang Yang, Christopher Wolverton, Ian T. Foster, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal:
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery. CoRR abs/1907.03222 (2019) - [i38]Ryan Chard, Tyler J. Skluzacek, Zhuozhao Li, Yadu N. Babuji, Anna Woodard, Ben Blaiszik, Steven Tuecke, Ian T. Foster, Kyle Chard:
Serverless Supercomputing: High Performance Function as a Service for Science. CoRR abs/1908.04907 (2019) - [i37]Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster:
Deep Learning Accelerated Light Source Experiments. CoRR abs/1910.04081 (2019) - [i36]Vibhatha Abeykoon, Zhengchun Liu, Rajkumar Kettimuthu, Geoffrey C. Fox, Ian T. Foster:
Scientific Image Restoration Anywhere. CoRR abs/1911.05878 (2019) - [i35]Y. Ye, R. D. Boyce, M. K. Davis, K. Elliston, Christos Davatzikos, A. Fedorov, Jean-Christophe Fillion-Robin, Ian T. Foster, John R. Gilbertson, Mervi Heiskanen, Juli D. Klemm, Andras Lasso, James V. Miller, M. Morgan, Steve Pieper, B. Raumann, B. Sarachan, G. Savova, Jonathan C. Silverstein, D. Taylor, J. Zelnis, G. Q. Zhang, Michael J. Becich:
Open Source Software Sustainability Models: Initial White Paper from the Information Technology for Cancer Research Sustainability and Industry Partnership Work Group. CoRR abs/1912.12371 (2019) - 2018
- [j144]Sam Nickolay, Eun-Sung Jung, Rajkumar Kettimuthu, Ian T. Foster:
Bridging the gap between peak and average loads on science networks. Future Gener. Comput. Syst. 79: 169-179 (2018) - [j143]Joaquín Chung, Eun-Sung Jung, Rajkumar Kettimuthu, Nageswara S. V. Rao, Ian T. Foster, Russ Clark, Henry L. Owen:
Advance reservation access control using software-defined networking and tokens. Future Gener. Comput. Syst. 79: 225-234 (2018) - [j142]Rajkumar Kettimuthu, Zhengchun Liu, David Wheeler, Ian T. Foster, Katrin Heitmann, Franck Cappello:
Transferring a petabyte in a day. Future Gener. Comput. Syst. 88: 191-198 (2018) - [j141]Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster, Peter H. Beckman:
Toward a smart data transfer node. Future Gener. Comput. Syst. 89: 10-18 (2018) - [j140]Kyle Chard, Eli Dart, Ian T. Foster, David J. Shifflett, Steven Tuecke, Jason Williams:
The Modern Research Data Portal: a design pattern for networked, data-intensive science. PeerJ Comput. Sci. 4: e144 (2018) - [j139]Ryan Chard, Ravi K. Madduri, Nicholas T. Karonis, Kyle Chard, Kirk L. Duffin, Caesar E. Ordoñez, Thomas D. Uram, Justin Fleischauer, Ian T. Foster, Michael E. Papka, John Winans:
Scalable pCT Image Reconstruction Delivered as a Cloud Service. IEEE Trans. Cloud Comput. 6(1): 182-195 (2018) - [c327]Deepak Nadig, Eun-Sung Jung, Rajkumar Kettimuthu, Ian T. Foster, Nageswara S. V. Rao, Byrav Ramamurthy:
Comparative Performance Evaluation of High-performance Data Transfer Tools. ANTS 2018: 1-6 - [c326]Sandro Fiore, Donatello Elia, Cosimo Palazzo, Alessandro D'Anca, Fabrizio Antonio, Dean N. Williams, Ian T. Foster, Giovanni Aloisio:
Towards an Open (Data) Science Analytics-Hub for Reproducible Multi-Model Climate Analysis at Scale. BigData 2018: 3226-3234 - [c325]Tyler J. Skluzacek, Rohan Kumar, Ryan Chard, Galen Harrison, Paul Beckman, Kyle Chard, Ian T. Foster:
Skluma: An Extensible Metadata Extraction Pipeline for Disorganized Data. eScience 2018: 256-266 - [c324]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 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: 442-452 - [c323]Matt Baughman, Christian Haas, Rich Wolski, Ian T. Foster, Kyle Chard:
Predicting Amazon Spot Prices with LSTM Networks. ScienceCloud@HPDC 2018: 1:1-1:7 - [c322]Ryan Chard, Rafael Vescovi, Ming Du, Hanyu Li, Kyle Chard, Steven Tuecke, Narayanan Kasthuri, Ian T. Foster:
High-Throughput Neuroanatomy and Trigger-Action Programming: A Case Study in Research Automation. AI-Science@HPDC 2018: 1:1-1:7 - [c321]Rajkumar Kettimuthu, Zhengchun Liu, Ian T. Foster, Peter H. Beckman, Alex Sim, Kesheng Wu, Wei-keng Liao, Qiao Kang, Ankit Agrawal, Alok N. Choudhary:
Towards Autonomic Science Infrastructure: Architecture, Limitations, and Open Issues. AI-Science@HPDC 2018: 2:1-2:9 - [c320]Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster, Nageswara S. V. Rao:
Cross-geography scientific data transferring trends and behavior. HPDC 2018: 267-278 - [c319]Raffaele Montella, Sokol Kosta, Ian T. Foster:
DYNAMO: Distributed Leisure Yacht-Carried Sensor-Network for Atmosphere and Marine Data Crowdsourcing Applications. IC2E 2018: 333-339 - [c318]Joaquín Chung, Rajkumar Kettimuthu, Nageswara S. V. Rao, Ian T. Foster:
Democratizing Network Reservations through Application-Aware Orchestration. ICCCN 2018: 1-9 - [c317]Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster, Yuanlai Liu:
A Comprehensive Study of Wide Area Data Movement at a Scientific Computing Facility. ICDCS 2018: 1604-1611 - [c316]Raffaele Montella, Diana Di Luccio, Sokol Kosta, Giulio Giunta, Ian T. Foster:
Performance, Resilience, and Security in Moving Data from the Fog to the Cloud: The DYNAMO Transfer Framework Approach. IDCS 2018: 197-208 - [c315]Yadu N. Babuji, Kyle Chard, Ian T. Foster, Daniel S. Katz, Mike Wilde, Anna Woodard, Justin M. Wozniak:
Parsl: Scalable Parallel Scripting in Python. IWSG 2018 - [c314]Nageswara S. V. Rao, Satyabrata Sen, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Learning Concave-Convex Profiles of Data Transport over Dedicated Connections. MLN 2018: 1-22 - [c313]Zhengchun Liu, Rajkumar Kettimuthu, Prasanna Balaprakash, Nageswara S. V. Rao, Ian T. Foster:
Building a Wide-Area File Transfer Performance Predictor: An Empirical Study. MLN 2018: 56-78 - [c312]Jiali Han, Jianrong Li, Ikbel Achour, Lorenzo L. Pesce, Ian T. Foster, Haiquan Li, Yves A. Lussier:
Convergent downstream candidate mechanisms of independent intergenic polymorphisms between co-classified diseases implicate epistasis among noncoding elements. PSB 2018: 524-535 - [c311]Nageswara S. V. Rao, Qiang Liu, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Throughput Analytics of Data Transfer Infrastructures. TRIDENTCOM 2018: 20-40 - [c310]Matt Baughman, Ryan Chard, Logan T. Ward, Jason Pitt, Kyle Chard, Ian T. Foster:
Profiling and Predicting Application Performance on the Cloud. UCC 2018: 21-30 - [c309]Rachana Ananthakrishnan, Ben Blaiszik, Kyle Chard, Ryan Chard, Brendan McCollam, Jim Pruyne, Stephen Rosen, Steven Tuecke, Ian T. Foster:
Globus Platform Services for Data Publication. PEARC 2018: 14:1-14:7 - [i34]Ravi K. Madduri, Kyle Chard, Michel D'Arcy, Segun Jung, Alexis Rodriguez, Dinanath Sulakhe, Eric Deutsch, Cory C. Funk, Benjamin D. Heavner, Matthew A. Richards, Paul Shannon, Gustavo Glusman, Nathan D. Price, Carl Kesselman, Ian T. Foster:
Reproducible big data science: A case study in continuous FAIRness. RO 2018 - [i33]Maria Luiza Mondelli, Thiago Magalhães, Guilherme Loss, Michael Wilde, Ian T. Foster, Marta Mattoso, Daniel S. Katz, Helio J. C. Barbosa, Ana Tereza Ribeiro de Vasconcelos, Kary A. C. S. Ocaña, Luiz M. R. Gadelha Jr.:
BioWorkbench: A High-Performance Framework for Managing and Analyzing Bioinformatics Experiments. CoRR abs/1801.03915 (2018) - [i32]Ryan Chard, Zhuozhao Li, Kyle Chard, Logan T. Ward, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster:
DLHub: Model and Data Serving for Science. CoRR abs/1811.11213 (2018) - 2017
- [j138]Ryan Chard, Kyle Chard, Rich Wolski, Ravi K. Madduri, Bryan Ng, Kris Bubendorfer, Ian T. Foster:
Cost-Aware Cloud Profiling, Prediction, and Provisioning as a Service. IEEE Cloud Comput. 4(4): 48-59 (2017) - [j137]Giuliano Laccetti, Ian T. Foster, Marco Lapegna, Paul Messina, Raffaele Montella, Almerico Murli:
Guest Editorial for Hybrid Parallelism in New HPC Systems. Int. J. Parallel Program. 45(5): 1021-1025 (2017) - [c308]Ardelio Galletti, Raffaele Montella, Livia Marcellino, Angelo Riccio, Diana Di Luccio, Alison Brizius, Ian T. Foster:
Numerical and Implementation Issues in Food Quality Modeling for Human Diseases Prevention. HEALTHINF 2017: 526-534 - [c307]Tekin Bicer, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster, Bin Ren, Vincent De Andrade, Francesco De Carlo:
Real-Time Data Analysis and Autonomous Steering of Synchrotron Light Source Experiments. eScience 2017: 59-68 - [c306]Roselyne B. Tchoua, Kyle Chard, Debra J. Audus, Logan T. Ward, Joshua Lequieu, Juan J. de Pablo, Ian T. Foster:
Towards a Hybrid Human-Computer Scientific Information Extraction Pipeline. eScience 2017: 109-118 - [c305]Zhengchun Liu, Rajkumar Kettimuthu, Sven Leyffer, Prashant Palkar, Ian T. Foster:
A Mathematical Programming- and Simulation-Based Framework to Evaluate Cyberinfrastructure Design Choices. eScience 2017: 148-157 - [c304]Ryan Chard, Kyle Chard, Steven Tuecke, Ian T. Foster:
Software Defined Cyberinfrastructure for Data Management. eScience 2017: 456-457 - [c303]Yadu N. Babuji, Kyle Chard, Eamon Duede, Ian T. Foster:
Safe Collections and Stewardship on Cloud Kotta. eScience 2017: 498-503 - [c302]Tyler J. Skluzacek, Suhail Rehman, Ian T. Foster:
Safe Double Blind Studies as a Service. eScience 2017: 504-509 - [c301]