Logan T. Ward
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
7
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCS | Will It Blend? Mixing Numerical and Machine-Learned Physics Quantities for Accurate on-the-Fly Surrogate Modeling. | Michael Tynes, Kyle Chard, Ian T. Foster, Logan T. Ward |
| 2024 | HPDC | Accelerating Function-Centric Applications by Discovering, Distributing, and Retaining Reusable Context in Workflow Systems. | Thanh Son Phung, Colin Thomas, Logan T. Ward, Kyle Chard, Douglas Thain |
| 2024 | SC | MProt-DPO: Breaking the ExaFLOPS Barrier for Multimodal Protein Design Workflows with Direct Preference Optimization. | Gautham Dharuman, Kyle Hippe, Alexander Brace, Sam Foreman, Vin Hatanp, Varuni K. Sastry, Huihuo Zheng, Logan T. Ward, Servesh Muralidharan, Archit Vasan, Bharat Kale, Carla M. Mann, Heng Ma, Yun-Hsuan Cheng, Yuliana Zamora, Shengchao Liu, Chaowei Xiao, Murali Emani, Tom Gibbs, Mahidhar Tatineni, Deepak Canchi, Jerome Mitchell, Koichi Yamada, Maria Garzaran, Michael E. Papka, Ian T. Foster, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan |
| 2023 | SC | Fine-grained accelerator partitioning for Machine Learning and Scientific Computing in Function as a Service Platform. | Aditya Dhakal, Philipp Raith, Logan T. Ward, Rolando P. Hong Enriquez, Gourav Rattihalli, Kyle Chard, Ian T. Foster, Dejan S. Milojicic |
| 2023 | SC | Accelerating Communications in Federated Applications with Transparent Object Proxies. | J. Gregory Pauloski, Valrie Hayot-Sasson, Logan T. Ward, Nathaniel Hudson, Charlie Sabino, Matt Baughman, Kyle Chard, Ian T. Foster |
| 2021 | ICS | Proxima: accelerating the integration of machine learning in atomistic simulations. | Yuliana Zamora, Logan T. Ward, Ganesh Sivaraman, Ian T. Foster, Henry Hoffmann |
| 2019 | ICCS | Creating Training Data for Scientific Named Entity Recognition with Minimal Human Effort. | 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 |
| 2019 | KDD | IRNet: A General Purpose Deep Residual Regression Framework for Materials Discovery. | Dipendra Jha, Logan T. Ward, Zijiang Yang, Christopher Wolverton, Ian T. Foster, Wei-keng Liao, Alok N. Choudhary, Ankit Agrawal |
| 2019 | Middleware | Serverless Workflows for Indexing Large Scientific Data. | Tyler J. Skluzacek, Ryan Chard, Ryan Wong, Zhuozhao Li, Yadu N. Babuji, Logan T. Ward, Ben Blaiszik, Kyle Chard, Ian T. Foster |
| 2018 | UCC | Profiling and Predicting Application Performance on the Cloud. | Matt Baughman, Ryan Chard, Logan T. Ward, Jason Pitt, Kyle Chard, Ian T. Foster |