Publications¶
Citing ProxyStore¶
If you use ProxyStore or any of this code in your work, please cite the following paper.
J. Gregory Pauloski, Valerie Hayot-Sasson, Logan Ward, Nathaniel Hudson, Charlie Sabino, Matt Baughman, Kyle Chard, and Ian Foster. 2023. Accelerating Communications in Federated Applications with Transparent Object Proxies. In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC '23). Association for Computing Machinery, New York, NY, USA, Article 59, 1–15. https://doi.org/10.1145/3581784.3607047
@inproceedings{pauloski2023proxystore,
author = {Pauloski, J. Gregory and Hayot-Sasson, Valerie and Ward, Logan and Hudson, Nathaniel and Sabino, Charlie and Baughman, Matt and Chard, Kyle and Foster, Ian},
title = {{Accelerating Communications in Federated Applications with Transparent Object Proxies}},
address = {New York, NY, USA},
articleno = {59},
booktitle = {Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis},
doi = {10.1145/3581784.3607047},
isbn = {9798400701092},
location = {Denver, CO, USA},
numpages = {15},
publisher = {Association for Computing Machinery},
series = {SC '23},
url = {https://doi.org/10.1145/3581784.3607047},
year = {2023}
}
Featured Papers¶
- Alok Kamatar, Mansi Sakarvadia, Valerie Hayot-Sasson, Kyle Chard, and Ian Foster. "Lazy Python Dependency Management in Large-Scale Systems." In Proceedings of IEEE 19th International Conference on e-Science. IEEE, 2023.
- Nicholson Collier, Justin M. Wozniak, Abby Stevens, Yadu Babuji, Mickaël Binois, Arindam Fadikar, Alexandra Würth, Kyle Chard, and Jonathan Ozik. "Developing Distributed High-performance Computing Capabilities of an Open Science Platform for Robust Epidemic Analysis." arXiv, 2023.
- Logan Ward, J. Gregory Pauloski, Valerie Hayot-Sasson, Ryan Chard, Yadu Babuji, Ganesh Sivaraman, Sutanay Choudhury, Kyle Chard, Rajeev Thakur, and Ian Foster. "Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources." In Proceedings of Heterogeneity in Computing Workshop of the International Parallel and Distributed Processing Symposium. 2023.
- Maxim Zvyagin et al. "GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics." bioRxiv, 2022.
- Logan Ward, Ganesh Sivaraman, J. Gregory Pauloski, Yadu Babuji, Ryan Chard, Naveen Dandu, Paul C. Redfern, Rajeev S. Assary, Kyle Chard, Larry A. Curtiss, Rajeev Thakur, and Ian Foster. "Colmena: Scalable machine-learning-based steering of ensemble simulations for high performance computing." In IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments. IEEE, 2021.