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Logan T. Ward
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2020 – today
- 2024
- [j5]Andrew S. Lee
, Sarah Elliott
Emin: A First-Principles Thermochemical Descriptor for Predicting Molecular Synthesizability. J. Chem. Inf. Model. 64(4): 1277-1289 (2024) - [j4]K. J. Schmidt
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. J. Open Source Softw. 9(93): 5467 (2024) - [c17]Thanh Son Phung
Accelerating Function-Centric Applications by Discovering, Distributing, and Retaining Reusable Context in Workflow Systems. HPDC 2024: 122-134 - [d4]K. J. Schmidt
Foundry-ML (latest). Zenodo, 2024 - [d3]K. J. Schmidt
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. Version v0.5.0. Zenodo, 2024 [all versions] - [d2]K. J. Schmidt
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. Version 2. Zenodo, 2024 [all versions] - [d1]K. J. Schmidt
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. Version v0.7.4. Zenodo, 2024 [all versions] - [i15]Nathaniel Hudson, J. Gregory Pauloski, Matt Baughman, Alok Kamatar, Mansi Sakarvadia, Logan T. Ward, Ryan Chard, André Bauer, Maksim Levental, Wenyi Wang, Will Engler, Owen Price Skelly, Ben Blaiszik, Rick Stevens, Kyle Chard, Ian T. Foster:
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. CoRR abs/2402.03480 (2024) - [i14]J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Alexander Brace, André Bauer, Kyle Chard, Ian T. Foster:
Object Proxy Patterns for Accelerating Distributed Applications. CoRR abs/2407.01764 (2024) - [i13]Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Yadu N. Babuji, Alexander Brace, Ryan Chard, Kyle Chard, Rajeev Thakur, Ian T. Foster:
Employing Artificial Intelligence to Steer Exascale Workflows with Colmena. CoRR abs/2408.14434 (2024) - 2023
- [j3]Maxim Zvyagin, Alexander Brace, Kyle Hippe, Yuntian Deng, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics. Int. J. High Perform. Comput. Appl. 37(6): 683-705 (2023) - [c16]Nathaniel Hudson
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision. BDCAT 2023: 15:1-15:10 - [c15]Logan T. Ward, J. Gregory Pauloski, Valérie Hayot-Sasson, Ryan Chard, Yadu N. Babuji, Ganesh Sivaraman, Sutanay Choudhury, Kyle Chard, Rajeev Thakur
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources. IPDPS Workshops 2023: 32-41 - [c14]J. Gregory Pauloski
Accelerating Communications in Federated Applications with Transparent Object Proxies. SC 2023: 59:1-59:15 - [c13]Aditya Dhakal
Fine-grained accelerator partitioning for Machine Learning and Scientific Computing in Function as a Service Platform. SC Workshops 2023: 1606-1613 - [i12]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) - [i11]J. Gregory Pauloski, Valérie Hayot-Sasson, Logan T. Ward, Nathaniel Hudson
Accelerating Communications in Federated Applications with Transparent Object Proxies. CoRR abs/2305.09593 (2023) - [i10]Kevin Maik Jablonka, Qianxiang Ai, Alexander Al-Feghali, Shruti Badhwar
14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon. CoRR abs/2306.06283 (2023) - [i9]Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR abs/2310.04610 (2023) - [i8]Logan T. Ward, Ben Blaiszik, Cheng-Wei Lee, Troy Martin, Ian T. Foster, André Schleife:
Accelerating Electronic Stopping Power Predictions by 10 Million Times with a Combination of Time-Dependent Density Functional Theory and Machine Learning. CoRR abs/2311.00787 (2023) - 2022
- [c12]Aymen Alsaadi, Logan T. Ward, André Merzky, Kyle Chard, Ian T. Foster, Shantenu Jha
RADICAL-Pilot and Parsl: Executing Heterogeneous Workflows on HPC Platforms. WORKS@SC 2022: 27-34 - 2021
- [j2]Francis J. Alexander
Co-design Center for Exascale Machine Learning Technologies (ExaLearn). Int. J. High Perform. Comput. Appl. 35(6): 598-616 (2021) - [j1]Zhuozhao Li
DLHub: Simplifying publication, discovery, and use of machine learning models in science. J. Parallel Distributed Comput. 147: 64-76 (2021) - [c11]Yuliana Zamora, Logan T. Ward, Ganesh Sivaraman
Proxima: accelerating the integration of machine learning in atomistic simulations. ICS 2021: 242-253 - [c10]Logan T. Ward
Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing. MLHPC@SC 2021: 9-20 - [c9]Thanh Son Phung, Logan T. Ward, Kyle Chard
Not All Tasks Are Created Equal: Adaptive Resource Allocation for Heterogeneous Tasks in Dynamic Workflows. WORKS 2021: 17-24 - [i7]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) - [i6]Logan T. Ward, Jenna A. Bilbrey, Sutanay Choudhury, Neeraj Kumar, Ganesh Sivaraman
Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19. CoRR abs/2102.04977 (2021) - [i5]Jenna A. Bilbrey, Logan T. Ward, Sutanay Choudhury, Neeraj Kumar, Ganesh Sivaraman:
Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic Candidates. CoRR abs/2105.10489 (2021) - [i4]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. CoRR abs/2110.02827 (2021) - 2020
- [i3]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)
2010 – 2019
- 2019
- [c8]Roselyne Tchoua, Aswathy Ajith, Zhi Hong, Logan T. Ward, Kyle Chard
Active Learning Yields Better Training Data for Scientific Named Entity Recognition. eScience 2019: 126-135 - [c7]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 - [c6]Ryan Chard, Zhuozhao Li
DLHub: Model and Data Serving for Science. IPDPS 2019: 283-292 - [c5]Dipendra Jha, Logan T. Ward, Zijiang Yang, Christopher Wolverton, Ian T. Foster, Wei-keng Liao
IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery. KDD 2019: 2385-2393 - [c4]Tyler J. Skluzacek, Ryan Chard, Ryan Wong, Zhuozhao Li
Serverless Workflows for Indexing Large Scientific Data. WOSC@Middleware 2019: 43-48 - [c3]Ryan Chard, Logan T. Ward, Zhuozhao Li
Publishing and Serving Machine Learning Models with DLHub. PEARC 2019: 73:1-73:7 - [i2]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) - 2018
- [c2]Matt Baughman, Ryan Chard, Logan T. Ward, Jason Pitt, Kyle Chard
Profiling and Predicting Application Performance on the Cloud. UCC 2018: 21-30 - [i1]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
- [c1]Roselyne B. Tchoua, Kyle Chard, Debra J. Audus, Logan T. Ward, Joshua Lequieu
Towards a Hybrid Human-Computer Scientific Information Extraction Pipeline. eScience 2017: 109-118
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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