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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
- 2023
[j172]Ryan Chard, Jim Pruyne, Kurt McKee
, Josh Bryan, Brigitte Raumann, Rachana Ananthakrishnan, Kyle Chard, Ian T. Foster:
Globus automation services: Research process automation across the space-time continuum. Future Gener. Comput. Syst. 142: 393-409 (2023)- [j171]Rosa M. Badia, Ian T. Foster, Dejan S. Milojicic:
Future of HPC. IEEE Internet Comput. 27(1): 5-6 (2023) - [j170]Panos Patros, Melanie Ooi, Victoria Huang, Michael Mayo, Chris Anderson, Stephen Burroughs, Matt Baughman, Osama Almurshed, Omer F. Rana, Ryan Chard, Kyle Chard, Ian T. Foster:
Rural AI: Serverless-Powered Federated Learning for Remote Applications. IEEE Internet Comput. 27(2): 28-34 (2023) - [c412]André Bauer, Martin Straesser, Mark Leznik, Lukas Beierlieb, Marius Hadry, Nathaniel Hudson, Kyle Chard, Samuel Kounev, Ian T. Foster:
Searching for the Ground Truth: Assessing the Similarity of Benchmarking Runs. ICPE (Companion) 2023: 95-99 - [d1]Martin Straesser, André Bauer, Robert Leppich, Nikolas Herbst, Kyle Chard, Ian T. Foster, Samuel Kounev:
An Empirical Study of Container Image Configurations and Their Impact on Start Times (Container Image Data). Zenodo, 2023
- [i101]Maksim Levental, Arham Khan, Ryan Chard, Kazutomo Yoshii, Kyle Chard, Ian T. Foster:
OpenHLS: High-Level Synthesis for Low-Latency Deep Neural Networks for Experimental Science. CoRR abs/2302.06751 (2023) - [i100]Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Ryan Chard, Yadu N. Babuji, Ganesh Sivaraman, Sutanay Choudhury, Kyle Chard, Rajeev Thakur, Ian T. Foster:
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. CoRR abs/2303.08803 (2023) - [i99]Omer F. Rana, Theodoros Spyridopoulos, Nathaniel Hudson, Matt Baughman, Kyle Chard, Ian T. Foster, Aftab Khan:
Hierarchical and Decentralised Federated Learning. CoRR abs/2304.14982 (2023) - [i98]Siyuan Xia, Zhiru Zhu, Chris Zhu, Jinjin Zhao, Kyle Chard, Aaron J. Elmore, Ian T. Foster, Michael J. Franklin, Sanjay Krishnan, Raul Castro Fernandez:
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow. CoRR abs/2305.03842 (2023) - [i97]J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Nathaniel Hudson, Charlie Sabino, Matt Baughman, Kyle Chard, Ian T. Foster:
Accelerating Communications in Federated Applications with Transparent Object Proxies. CoRR abs/2305.09593 (2023) - 2022
- [j169]Rosa M. Badia, Ian T. Foster, Dejan S. Milojicic:
More Real Than Real: The Race to Simulate Everything. Computer 55(7): 67-72 (2022) - [j168]Ian T. Foster, Carl Kesselman:
CUF-Links: Continuous and Ubiquitous FAIRness Linkages for Reproducible Research. Computer 55(8): 20-30 (2022) - [j167]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) - [j166]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): 106-128 (2022) - [j165]Anda Trifan, Defne Gorgun, Michael Salim, Zongyi Li, Alexander Brace, Maxim Zvyagin, Heng Ma, Austin Clyde, David Clark, David J. Hardy, Tom Burnley, Lei Huang, John D. McCalpin, Murali Emani, Hyenseung Yoo, Junqi Yin, Aristeidis Tsaris, Vishal Subbiah, Tanveer Raza, Jessica Liu, Noah Trebesch, Geoffrey Wells, Venkatesh Mysore, Tom Gibbs, James C. Phillips, S. Chakra Chennubhotla, Ian T. Foster, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, John E. Stone, Emad Tajkhorshid, Sarah A Harris, Arvind Ramanathan:
Intelligent resolution: Integrating Cryo-EM with AI-driven multi-resolution simulations to observe the severe acute respiratory syndrome coronavirus-2 replication-transcription machinery in action. Int. J. High Perform. Comput. Appl. 36(5-6): 603-623 (2022) - [j164]Austin Clyde, Stephanie Galanie, Daniel W. Kneller, Heng Ma, Yadu N. Babuji, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Leighton Coates, Ian T. Foster, Darin Hauner, Vilmos Kertesz, Neeraj Kumar, Hyungro Lee, Zhuozhao Li, André Merzky, Jurgen G. Schmidt, Li Tan, Mikhail Titov, Anda Trifan, Matteo Turilli, Hubertus Van Dam, Srinivas C. Chennubhotla, Shantenu Jha, Andrey Kovalevsky, Arvind Ramanathan, Martha S. Head, Rick Stevens:
High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor. J. Chem. Inf. Model. 62(1): 116-128 (2022) - [j163]Rafael Vescovi, Ryan Chard, Nickolaus Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster:
Linking scientific instruments and computation: Patterns, technologies, and experiences. Patterns 3(10): 100606 (2022) - [j162]Siyuan Xia, Zhiru Zhu, Chris Zhu, Jinjin Zhao, Kyle Chard, Aaron J. Elmore, Ian T. Foster, Michael J. Franklin, Sanjay Krishnan, Raul Castro Fernandez:
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow. Proc. VLDB Endow. 15(11): 3172-3185 (2022) - [j161]Takuya Kurihana, Elisabeth Moyer, Ian T. Foster:
AICCA: AI-Driven Cloud Classification Atlas. Remote. Sens. 14(22): 5690 (2022) - [j160]Takuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian T. Foster:
Data-Driven Cloud Clustering via a Rotationally Invariant Autoencoder. IEEE Trans. Geosci. Remote. Sens. 60: 1-25 (2022) - [j159]Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky:
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization. IEEE Trans. Parallel Distributed Syst. 33(4): 878-890 (2022) - [j158]Mert Hidayetoglu, Tekin Biçer, Simon Garcia de Gonzalo, Bin Ren, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster, Wen-Mei W. Hwu:
MemXCT: Design, Optimization, Scaling, and Reproducibility of X-Ray Tomography Imaging. IEEE Trans. Parallel Distributed Syst. 33(9): 2014-2031 (2022) - [j157]Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello:
Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints. IEEE Trans. Parallel Distributed Syst. 33(10): 4440-4457 (2022) - [j156]J. Gregory Pauloski, Lei Huang, Weijia Xu, Kyle Chard, Ian T. Foster, Zhao Zhang:
Deep Neural Network Training With Distributed K-FAC. IEEE Trans. Parallel Distributed Syst. 33(12): 3616-3627 (2022) - [j155]Zhuozhao Li, Ryan Chard, Yadu N. Babuji, Ben Galewsky, Tyler J. Skluzacek, Kirill Nagaitsev, Anna Woodard, Ben Blaiszik, Josh Bryan, Daniel S. Katz, Ian T. Foster, Kyle Chard:
$f$funcX: Federated Function as a Service for Science. IEEE Trans. Parallel Distributed Syst. 33(12): 4948-4963 (2022) - [c411]Osama Almurshed, Panos Patros, Victoria Huang, Michael Mayo, Melanie Ooi, Ryan Chard, Kyle Chard, Omer F. Rana, Harshaan Nagra, Matt Baughman, Ian T. Foster:
Adaptive Edge-Cloud Environments for Rural AI. SCC 2022: 74-83 - [c410]Ahsan Ali, Hemant Sharma, Rajkumar Kettimuthu, Peter Kenesei, Dennis Trujillo, Antonino Miceli, Ian T. Foster, Ryan N. Coffee, Jana Thayer, Zhengchun Liu:
fairDMS: Rapid Model Training by Data and Model Reuse. CLUSTER 2022: 394-405 - [c409]Nikita Kotsehub, Matt Baughman, Ryan Chard, Nathaniel Hudson, Panos Patros, Omer F. Rana, Ian T. Foster, Kyle Chard:
FLoX: Federated Learning with FaaS at the Edge. e-Science 2022: 11-20 - [c408]Matt Baughman, Ian T. Foster, Kyle Chard:
Exploring Tradeoffs in Federated Learning on Serverless Computing Architectures. e-Science 2022: 433-434 - [c407]Jim Pruyne, Justin M. Wozniak, Ian T. Foster:
Tracking Dubious Data: Protecting Scientific Workflows from Invalidated Experiments. e-Science 2022: 456-461 - [c406]Tyler J. Skluzacek, Kyle Chard, Ian T. Foster:
Automated metadata extraction: challenges and opportunities. e-Science 2022: 495-500 - [c405]Joaquín Chung, Wojciech Zacherek, A. J. Wisniewski, Zhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster:
SciStream: Architecture and Toolkit for Data Streaming between Federated Science Instruments. HPDC 2022: 185-198 - [c404]Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
HiPS2022: The 2nd Workshop on High Performance Serverless Computing. HPDC 2022: 290-291 - [c403]Maksim Levental, Ryan Chard, Kyle Chard, Ian T. Foster, Gregg A. Wildenberg:
Ultrafast Focus Detection for Automated Microscopy. ICCS (1) 2022: 403-416 - [c402]Tyler J. Skluzacek, Matthew Chen, Erica Hsu, Kyle Chard, Ian T. Foster:
Models and Metrics for Mining Meaningful Metadata. ICCS (1) 2022: 417-430 - [c401]Alexander Brace, Igor Yakushin, Heng Ma, Anda Trifan, Todd S. Munson, Ian T. Foster, Arvind Ramanathan, Hyungro Lee, Matteo Turilli, Shantenu Jha:
Coupling streaming AI and HPC ensembles to achieve 100-1000× faster biomolecular simulations. IPDPS 2022: 806-816 - [c400]Simon Caton, Matt Baughman, Christian Haas, Ryan Chard, Ian T. Foster, Kyle Chard:
Assessing the Current State of AWS Spot Market Forecastability. SuperCompCloud 2022: 8-15 - [c399]Aymen Alsaadi, Logan T. Ward, André Merzky, Kyle Chard, Ian T. Foster, Shantenu Jha, Matteo Turilli:
RADICAL-Pilot and Parsl: Executing Heterogeneous Workflows on HPC Platforms. WORKS@SC 2022: 27-34 - [e12]Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
HiPS@HPDC 2022: Proceedings of the 2nd Workshop on High Performance Serverless Computing, Minneapolis, MN, USA, 30 June 2022. ACM 2022, ISBN 978-1-4503-9311-9 [contents] - [i96]William Dempsey, Ian T. Foster, Scott Fraser, Carl Kesselman:
Sharing Begins at Home. CoRR abs/2201.06564 (2022) - [i95]Ian T. Foster, Carl Kesselman:
CUF-Links: Continuous and Ubiquitous FAIRness Linkages for reproducible research. CoRR abs/2201.08296 (2022) - [i94]Ian T. Foster, Carl Kesselman:
The History of the Grid. CoRR abs/2204.04312 (2022) - [i93]Rafael Vescovi, Ryan Chard, Nickolaus Saint, Ben Blaiszik, Jim Pruyne, Tekin Bicer, Alex Lavens, Zhengchun Liu, Michael E. Papka, Suresh Narayanan, Nicholas Schwarz, Kyle Chard, Ian T. Foster:
Linking Scientific Instruments and HPC: Patterns, Technologies, Experiences. CoRR abs/2204.05128 (2022) - [i92]Ahsan Ali, Hemant Sharma, Rajkumar Kettimuthu, Peter Kenesei, Dennis Trujillo, Antonino Miceli, Ian T. Foster, Ryan N. Coffee, Jana Thayer, Zhengchun Liu:
fairDMS: Rapid Model Training by Data and Model Reuse. CoRR abs/2204.09805 (2022) - [i91]Jim James, Nathan Pruyne, Tiberiu Stan, Marcus Schwarting, Jiwon Yeom, Seungbum Hong, Peter Voorhees, Ben Blaiszik, Ian T. Foster:
3D Convolutional Neural Networks for Dendrite Segmentation Using Fine-Tuning and Hyperparameter Optimization. CoRR abs/2205.01167 (2022) - [i90]Jakob R. Elias, Ryan Chard, Maksim Levental, Zhengchun Liu, Ian T. Foster, Santanu Chaudhuri:
Real-Time Streaming and Event-driven Control of Scientific Experiments. CoRR abs/2205.01476 (2022) - [i89]Kyle Chard, Yadu N. Babuji, Anna Woodard, Ben Clifford, Zhuozhao Li, Mihael Hategan, Ian T. Foster, Mike Wilde, Daniel S. Katz:
Extended Abstract: Productive Parallel Programming with Parsl. CoRR abs/2205.01527 (2022) - [i88]Zhi Hong, Aswathy Ajith, J. Gregory Pauloski, Eamon Duede, Carl Malamud, Roger Magoulas, Kyle Chard, Ian T. Foster:
ScholarBERT: Bigger is Not Always Better. CoRR abs/2205.11342 (2022) - [i87]Nikil Ravi, Pranshu Chaturvedi, E. A. Huerta, Zhengchun Liu, Ryan Chard, Aristana Scourtas, K. J. Schmidt, Kyle Chard, Ben Blaiszik, Ian T. Foster:
FAIR principles for AI models, with a practical application for accelerated high energy diffraction microscopy. CoRR abs/2207.00611 (2022) - [i86]Philip E. Bourne, Vivien Bonazzi, Amy Brand, Bonnie Carroll, Ian T. Foster, Ramanathan V. Guha, Robert J. Hanisch, Sallie Ann Keller, Mary Lee Kennedy, Christine R. Kirkpatrick, Barend Mons, Sarah M. Nusser, Michael Stebbins, George O. Strawn, Alex Szalay:
Playing catch-up in building an open research commons. CoRR abs/2208.04682 (2022) - [i85]Ryan Chard, Jim Pruyne, Kurt McKee, Josh Bryan, Brigitte Raumann, Rachana Ananthakrishnan, Kyle Chard, Ian T. Foster:
Globus Automation Services: Research process automation across the space-time continuum. CoRR abs/2208.09513 (2022) - [i84]Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Masked Sinogram Model with Transformer for ill-Posed Computed Tomography Reconstruction: a Preliminary Study. CoRR abs/2209.01356 (2022) - [i83]Anakha V. Babu, Tao Zhou, Saugat Kandel, Tekin Bicer, Zhengchun Liu, William Judge, Daniel J. Ching, Yi Jiang, Sinisa Veseli, Steven Henke, Ryan Chard, Yudong Yao, Ekaterina Sirazitdinova, Geetika Gupta, Martin V. Holt, Ian T. Foster, Antonino Miceli, Mathew J. Cherukara:
Deep learning at the edge enables real-time streaming ptychographic imaging. CoRR abs/2209.09408 (2022) - [i82]Zhuozhao Li, Ryan Chard, Yadu N. Babuji, Ben Galewsky, Tyler J. Skluzacek, Kirill Nagaitsev, Anna Woodard, Ben Blaiszik, Josh Bryan, Daniel S. Katz, Ian T. Foster, Kyle Chard:
funcX: Federated Function as a Service for Science. CoRR abs/2209.11631 (2022) - [i81]Takuya Kurihana, Elisabeth Moyer, Ian T. Foster:
AICCA: AI-driven Cloud Classification Atlas. CoRR abs/2209.15096 (2022) - [i80]Takuya Kurihana, Ian T. Foster, Rebecca Willett, Sydney Jenkins, Kathryn Koenig, Ruby Werman, Ricardo Barros Lourenço, Casper Neo, Elisabeth Moyer:
Cloud Classification with Unsupervised Deep Learning. CoRR abs/2209.15585 (2022) - [i79]E. A. Huerta, Ben Blaiszik, L. Catherine Brinson, Kristofer E. Bouchard, Daniel Diaz, Caterina Doglioni, Javier M. Duarte, Murali Emani, Ian T. Foster, Geoffrey C. Fox, Philip C. Harris, Lukas Heinrich, Shantenu Jha, Daniel S. Katz, Volodymyr V. Kindratenko, Christine R. Kirkpatrick, Kati Lassila-Perini, Ravi K. Madduri, Mark S. Neubauer, Fotis E. Psomopoulos, Avik Roy, Oliver Rübel, Zhizhen Zhao, Ruike Zhu:
FAIR for AI: An interdisciplinary, international, inclusive, and diverse community building perspective. CoRR abs/2210.08973 (2022) - [i78]Takuya Kurihana, James Franke, Ian T. Foster, Ziwei Wang, Elisabeth Moyer:
Insight into cloud processes from unsupervised classification with a rotationally invariant autoencoder. CoRR abs/2211.00860 (2022) - 2021
- [j154]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) - [j153]Francis J. Alexander, James A. Ang, Jenna A. Bilbrey, Jan Balewski, Tiernan Casey, Ryan Chard, Jong Choi, Sutanay Choudhury, Bert J. Debusschere, Anthony M. DeGennaro, Nikoli Dryden, J. Austin Ellis, Ian T. Foster, Cristina Garcia-Cardona, Sayan Ghosh, Peter Harrington, Yunzhi Huang, Shantenu Jha, Travis Johnston, Ai Kagawa, Ramakrishnan Kannan, Neeraj Kumar, Zhengchun Liu, Naoya Maruyama, Satoshi Matsuoka, Erin McCarthy, Jamaludin Mohd-Yusof, Peter Nugent, Yosuke Oyama, Thomas Proffen, David Pugmire, Sivasankaran Rajamanickam, Vinay Ramakrishniah, Malachi Schram, Sudip K. Seal, Ganesh Sivaraman, Christine Sweeney, Li Tan, Rajeev Thakur, Brian Van Essen, Logan T. Ward, Paul M. Welch, Michael Wolf, Sotiris S. Xantheas, Kevin G. Yager, Shinjae Yoo, Byung-Jun Yoon:
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35(6): 598-616 (2021) - [j152]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): 617-635 (2021) - [j151]Jeremy Feinstein, Ganesh Sivaraman, Kurt Picel, Brian Peters, Álvaro Vázquez-Mayagoitia, Arvind Ramanathan, Margaret Macdonell, Ian T. Foster, Eugene Yan:
Uncertainty-Informed Deep Transfer Learning of Perfluoroalkyl and Polyfluoroalkyl Substance Toxicity. J. Chem. Inf. Model. 61(12): 5793-5803 (2021) - [j150]Ian T. Foster, Carl Kesselman:
Translating the grid: How a translational approach shaped the development of grid computing. J. Comput. Sci. 52: 101214 (2021) - [j149]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) - [j148]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. ACM Trans. Model. Perform. Evaluation Comput. Syst. 6(1): 3:1-3:25 (2021) - [j147]Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster:
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking. IEEE Trans. Vis. Comput. Graph. 27(8): 3463-3480 (2021) - [c398]Maksim Levental, Ryan Chard, Kyle Chard, Ian T. Foster, Gregg A. Wildenberg:
Ultrafast Focus Detection for Automated Microscopy. e-Science 2021: 237-238 - [c397]Zhi Hong, Kyle Chard, Ian T. Foster:
Gold Panning: Automatic Extraction of Scientific Information from Publications. e-Science 2021: 243-244 - [c396]Yadu N. Babuji, Josh Bryan, Ryan Chard, Kyle Chard, Ian T. Foster, Ben Galewsky, Daniel S. Katz, Zhuozhao Li:
Federated Function as a Service for eScience. e-Science 2021: 251-252 - [c395]Takuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian T. Foster:
Cloud Clustering Over January 2003 via Scalable Rotationally Invariant Autoencoder. e-Science 2021: 253-254 - [c394]Matt Baughman, Ian T. Foster, Kyle Chard:
Enhancing Automated FaaS with Cost-aware Provisioning of Cloud Resources. e-Science 2021: 267-268 - [c393]Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello:
Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets. HiPC 2021: 394-399 - [c392]Tyler J. Skluzacek, Ryan Wong, Zhuozhao Li, Ryan Chard, Kyle Chard, Ian T. Foster:
A Serverless Framework for Distributed Bulk Metadata Extraction. HPDC 2021: 7-18 - [c391]Matt Baughman, Rohan Kumar, Ian T. Foster, Kyle Chard:
Expanding Cost-Aware Function Execution with Multidimensional Notions of Cost. HiPS@HPDC 2021: 9-12 - [c390]Aniket Tekawade, Zhengchun Liu, Peter Kenesei, Tekin Bicer, Francesco De Carlo, Rajkumar Kettimuthu, Ian T. Foster:
3d Autoencoders For Feature Extraction In X-Ray Tomography. ICIP 2021: 3477-3481 - [c389]Aymen Al Saadi, Dario Alfè, Yadu N. Babuji, Agastya Bhati, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Peter V. Coveney, Ian T. Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Dieter Kranzlmüller, Thorsten Kurth, Hyungro Lee, Zhuozhao Li, Heng Ma, Gerald Mathias, André Merzky, Alexander Partin, Arvind Ramanathan, Ashka Shah, Abraham C. Stern, Rick Stevens, Li Tan, Mikhail Titov, Anda Trifan, Aristeidis Tsaris, Matteo Turilli, Huub J. J. Van Dam, Shunzhou Wan, David Wifling, Junqi Yin:
IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads. ICPP 2021: 40:1-40:12 - [c388]Yuliana Zamora, Logan T. Ward, Ganesh Sivaraman, Ian T. Foster, Henry Hoffmann:
Proxima: accelerating the integration of machine learning in atomistic simulations. ICS 2021: 242-253 - [c387]Xiaodong Yu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster:
Topology-aware optimizations for multi-GPU ptychographic image reconstruction. ICS 2021: 354-366 - [c386]Rohan Kumar, Matt Baughman, Ryan Chard, Zhuozhao Li, Yadu N. Babuji, Ian T. Foster, Kyle Chard:
Coding the Computing Continuum: Fluid Function Execution in Heterogeneous Computing Environments. IPDPS Workshops 2021: 66-75 - [c385]Tim Shaffer, Zhuozhao Li, Ben Tovar, Yadu N. Babuji, T. J. Dasso, Zoe Surma, Kyle Chard, Ian T. Foster, Douglas Thain:
Lightweight Function Monitors for Fine-Grained Management in Large Scale Python Applications. IPDPS 2021: 786-796 - [c384]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: 859-868 - [c383]Logan T. Ward, Ganesh Sivaraman, J. Gregory Pauloski, Yadu N. Babuji, Ryan Chard, Naveen Dandu, Paul C. Redfern, Rajeev S. Assary, Kyle Chard, Larry A. Curtiss, Rajeev Thakur, Ian T. Foster:
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing. MLHPC@SC 2021: 9-20 - [c382]Nageswara S. V. Rao, Anees Al-Najjar, Neena Imam, Zhengchun Liu, Rajkumar Kettimuthu, Ian T. Foster:
Cross Inference of Throughput Profiles Using Micro Kernel Network Method. MLN 2021: 48-68 - [c381]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 - [c380]J. Gregory Pauloski, Qi Huang, Lei Huang, Shivaram Venkataraman, Kyle Chard, Ian T. Foster, Zhao Zhang:
KAISA: an adaptive second-order optimizer framework for deep neural networks. SC 2021: 13 - [c379]Tong Shu, Yanfei Guo, Justin M. Wozniak, Xiaoning Ding, Ian T. Foster, Tahsin M. Kurç:
Bootstrapping in-situ workflow auto-tuning via combining performance models of component applications. SC 2021: 28 - [c378]Yuanjian Lin, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello:
Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis. DRBSD@SC 2021: 40-46 - [c377]Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster:
High-Performance Ptychographic Reconstruction with Federated Facilities. SMC 2021: 173-189 - [c376]Justin M. Wozniak, Zhengchun Liu, Rafael Vescovi, Ryan Chard, Bogdan Nicolae, Ian T. Foster:
Braid-DB: Toward AI-Driven Science with Machine Learning Provenance. SMC 2021: 247-261 - [c375]Zhengchun Liu, Ahsan Ali, Peter Kenesei, Antonino Miceli, Hemant Sharma, Nicholas Schwarz, Dennis Trujillo, Hyunseung Yoo, Ryan N. Coffee, Naoufal Layad, Jana Thayer, Ryan Herbst, Chun Hong Yoon, Ian T. Foster:
Bridging Data Center AI Systems with Edge Computing for Actionable Information Retrieval. XLOOP@SC 2021: 15-23 - [e11]Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li:
HiPS@HPDC 2021: Proceedings of the 1st Workshop on High Performance Serverless Computing, Virtual Event, Sweden, 25 June, 2021. ACM 2021, ISBN 978-1-4503-8388-2 [contents] - [e10]Nimanthi L. Atukorala, Carl K. Chang, Rong N. Chang, Ernesto Damiani, Ian T. Foster, Zhongjie Wang, Jia Zhang:
IEEE World Congress on Services, SERVICES 2021, Chicago, IL, USA, September 5-10, 2021. IEEE 2021, ISBN 978-1-6654-2719-7 [contents] - [i77]Thomas M. Conte, Ian T. Foster, William Gropp, Mark D. Hill:
Advancing Computing's Foundation of US Industry & Society. CoRR abs/2101.01284 (2021) - [i76]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) - [i75]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) - [i74]Takuya Kurihana, Elisabeth Moyer, Rebecca Willett, Davis Gilton, Ian T. Foster:
Data-driven Cloud Clustering via a Rotationally Invariant Autoencoder. CoRR abs/2103.04885 (2021) - [i73]Sam Nickolay, Eun-Sung Jung, Rajkumar Kettimuthu, Ian T. Foster:
Towards Accommodating Real-time Jobs on HPC Platforms. CoRR abs/2103.13130 (2021) - [i72]Alexander Brace, Hyungro Lee, Heng Ma, Anda Trifan, Matteo Turilli, Igor Yakushin, Todd S. Munson, Ian T. Foster, Shantenu Jha, Arvind Ramanathan:
Achieving 100X faster simulations of complex biological phenomena by coupling ML to HPC ensembles. CoRR abs/2104.04797 (2021) - [i71]Ian T. Foster, Daniel Lopresti, Bill Gropp, Mark D. Hill, Katie Schuman:
A National Discovery Cloud: Preparing the US for Global Competitiveness in the New Era of 21st Century Digital Transformation. CoRR abs/2104.06953 (2021) - [i70]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 abs/2105.12764 (2021) - [i69]