Citing PACE

600 +
Acknowledgements and Growing!

How to Cite PACE

Please don’t forget to cite or acknowledge us if your research benefited from PACE managed resources.

Sample text for Acknowledgements:

“This research was supported in part through research cyberinfrastructure resources and services provided by the Partnership for an Advanced Computing Environment (PACE) at the Georgia Institute of Technology, Atlanta, Georgia, USA.”

If Hive Cluster was used for your research, then please use this sample text for Acknowledgement:

“This work used the Hive cluster, which is supported by the National Science Foundation under grant number 1828187.  This research was supported in part through research cyberinfrastrucutre resources and services provided by the Partnership for an Advanced Computing Environment (PACE) at the Georgia Institute of Technology, Atlanta, Georgia, USA.”

For citations, see this link for the BibTeX reference: Citation

PACE Publications & Other Media

PACE team members publish conference and journal articles on a variety of topics. This list represents many of those publications. Names of PACE faculty, staff, and student employees appear in bold.

  1. Go, S., Park, J., More, S., Wu, H., Wang, I., Jezghani, A., Krishna, T., & Mahajan, D. (2025). Characterizing the Efficiency of Distributed Training: A Power, Performance, and Thermal Perspective (Version 1). arXiv. https://doi.org/10.48550/ARXIV.2509.10371
  2. Gonzalez, F. M., Choi, J. H., Acharya, H., Clymer, S., Hagemeier, A., Mathews, D. G., Mendelsohn, A., Nelsen, A., Rahangdale, H., Richburg, L., Alarcon, R., Atencio, A., Baeßler, S., Bailey, T., Birge, N., Borissenko, D., Bowler, M., Broussard, L. J., Bryant, A. T., … Zeck, B. (2025). First Full Dalitz Plot Measurement in Neutron β-Decay using the Nab Spectrometer and Implications for New Physics (Version 1). arXiv. https://doi.org/10.48550/ARXIV.2508.16045
  3. Liu, F., Rahaman, R., Bartilson, D., Lombardi, R., Valdez, J., & Tripathi, A. (2025). Supporting AI Workflows and Training with Open OnDemand. 1–4. https://doi.org/10.1145/3708035.3736058
  4. Andino, G., Delinger, S., Fosso Tande, J., Middelkoop, T., Mizumoto, C., Reddy, D., & Weiner, M., (2024). Onboarding Research Computing and Data Professionals. Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 1–4. https://doi.org/10.1145/3626203.3670582
  5. Smith, K., Liu, F., Phanish, D., Chen, H.-J., Chen, R., & Contis, D. (2024). Research Collaboration Discovery through Neo4j Knowledge Graph. Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 1–7. https://doi.org/10.1145/3626203.3670539
  6. Yang, Y., Liu, F., Weiner, M. D., Jezghani, A., Coulter, J. E., Lara, R., Rahaman, R., Suda, K. J., Valdez, J., Womack, D., & Zhou, D. (2024). Exploring Research Dataset-Sharing Strategies for Concurrent AI Workflows. Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 1–4. https://doi.org/10.1145/3626203.3670597
  7. Coulter, J. E., Weiner, M. D., Jezghani, A., Guidry, M., Lara, R., Liu, F., Metts, A., Rahaman, R., Suda, K., Wan, P., Willcox, G., Womack, D., & Zhou, D. (2023). ICE 2.0: Restructuring and Growing an Instructional HPC Cluster. Proceedings of the SC ’23 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis, 591–597. https://doi.org/10.1145/3624062.3624131
  8. Liu, F., Rahaman, R., Weiner, M., Coulter, E., Phanish, D., Valdez, J., Sarajlic, S., Lara, R., & Buffington, P. (2023). Semi-Automatic Hybrid Software Deployment Workflow in a Research Computing Center. Practice and Experience in Advanced Research Computing, 68–74. https://doi.org/10.1145/3569951.3593607
  9. Young, J., Jezghani, A., Valdez, J., Jijina, S., Liu, X., Weiner, M.D., Powell, W. and Sarajlic, S., 2022. Enhancing HPC Education and Workflows with Novel Computing Architectures. Journal of Computational Science, 13(2). https://doi.org/10.22369/issn.2153-4136/13/2/6
  10. Jezghani, A., Sarajlic, S., Brandon, M., Bright, N., Belgin, M., Beyer, G., Blanton, C., Buffington, P., Coulter, J.E., Lara, R. and Lefton, L., 2022. Phoenix: The Revival of Research Computing and the Launch of the New Cost Model at Georgia Tech. In Practice and Experience in Advanced Research Computing (pp. 1-9). https://doi.org/10.1145/3491418.3530767
  11. Jezghani, A., Manalo, K., Powell, W., Valdez, J. and Young, J., 2022, January. Onboarding Users to A64FX via Open OnDemand. In International Conference on High Performance Computing in Asia-Pacific Region Workshops (pp. 78-83). https://doi.org/10.1145/3503470.3503479
  12. Mehmet Belgin, Semir Sarajlic, Ruben Lara, Laura Cadonati, A. Nepomuk Otte, Ignacio J. Taboada, Gregory L Beyer, Norman B Bonner, Michael Brandon, Pam Buffington, J. Eric Coulter, Aaron Jezghani, David Leonard, Fang Liu, Paul D Manno, Craig A Moseley, Trever C Nightingale, Ronald Rahaman, Kenneth J Suda, Peter Wan, Michael D. Weiner, Deirdre Womack, Dan Zhou, Andre C McNeill, Neil C Bright, Robert W Gardner, Pascal Paschos, Lincoln Andrew Bryant, Judith Lorraine Stephen, James Alexander Clark, Brian Hua Lin, Todd Tannenbaum, and Gregory Thain. 2022. Buzzard: Georgia Tech’s Foray into the Open Science Grid. In Practice and Experience in Advanced Research Computing (PEARC ’22). Association for Computing Machinery, New York, NY, USA, Article 47, 1–5. https://doi.org/10.1145/3491418.3535135
  13. Aaron Jezghani, Semir Sarajlic, Michael Brandon, Neil Bright, Mehmet Belgin, Gergory Beyer, Christopher Blanton, Pam Buffington, J. Eric Coulter, Ruben Lara, Lew Lefton, David Leonard, Fang Cherry Liu, Kevin Manalo, Paul Manno, Craig Moseley, Trever Nightingale, N. Bray Bonner, Ronald Rahaman, Christopher Stone, Kenneth J. Suda, Peter Wan, Michael D. Weiner, Deirdre Womack, Nuyun Zhang, and Dan Zhou. 2022. Phoenix: The Revival of Research Computing and the Launch of the New Cost Model at Georgia Tech. In Practice and Experience in Advanced Research Computing (PEARC ’22). Association for Computing Machinery, New York, NY, USA, Article 13, 1–9. https://doi.org/10.1145/3491418.3530767
  14. Fang Liu, Dan Zhou, Ken Suda, Michael D. Weiner, Mehmet Belgin, Ruben Lara, and Pam Buffington. 2022. A Fully Automated Scratch Storage Cleanup Tool for Heterogeneous Parallel Filesystems. In Practice and Experience in Advanced Research Computing (PEARC ’22). Association for Computing Machinery, New York, NY, USA, Article 16, 1–7. https://doi.org/10.1145/3491418.3530761
  15. Eugene Min, Fang Liu, and Ronald Rahaman. 2022. Automatic Benchmark Testing with Performance Notification for a Research Computing Center. In Practice and Experience in Advanced Research Computing (PEARC ’22). Association for Computing Machinery, New York, NY, USA, Article 18, 1–7. https://doi.org/10.1145/3491418.3530760
  16. Fang (Cherry) Liu, Michael D. Weiner, Kevin Manalo, Aaron Jezghani, Christopher J. Blanton, Christopher Stone, Kenneth Suda, Nuyun Zhang, Dan Zhou, Mehmet Belgin, Semir Sarajlic,  and  Ruben Lara. Human-in-the-Loop Automatic Data Migration for a Large Research Computing Data Center. 2021. In 2021 International Conference on Computational Science and Computational Intelligence. https://doi.org/10.1109/CSCI54926.2021.00068
  17. Fang (Cherry) Liu, Mehmet Belgin, Nuyun Zhang, Kevin Manalo, Ruben Lara, Christopher P. Stone, Paul Manno “ProvBench: A performance provenance capturing framework for heterogeneous research computing environments”,  Concurrency and Computation: Practice and Experience, Jan 10 2022 DOI:http://doi.org/10.1002/cpe.6820
  18. Aaron Jezghani, Kevin Manalo, Will Powell, Jeffrey Valdez, and Jeffrey Young. Onboarding Users to A64FX via Open OnDemand. 2021. In International Conference on High Performance Computing in Asia- Pacific Region Workshops (HPCAsia 2022 Workshop). https://doi. org/10.1145/3503470.3503479
  19. I Nompelis, G Jost., A Koniges, C Daley, D Eder, and Christopher Stone. 2020. Enabling Execution of a Legacy CFD Mini Application on Accelerators Using OpenMP. In Sadayappan P., Chamberlain B., Juckeland G., Ltaief H. (eds) High Performance Computing. ISC High Performance 2020. Lecture Notes in Computer Science. https://doi. org/10.1007/978-3-030-50743-5_14
  20. Jack Rager and Fang (Cherry) Liu. 2020. Facilitating the HPC Data Center Host efficiency through Big Data Analytics. In IEEE International Conference on Big Data. https://doi.org/10.1109/BigData50022.2020.9378487
  21. Naveen Mohideen, Michael D. Weiner, and Gerald W. Feigenson. 2020. Bilayer compositional asymmetry influences the nanoscopic to macroscopic phase domain size transition. Chemistry and Physics of Lipids. https://doi.org/10.1016/j.chemphyslip.2020.104972
  22. Mehmet Belgin, Tyler A. Perini, Fang (Cherry) Liu, Nuyun Zhang, Semir Sarajlic, Andre C. McNeill, Paul Manno, and Neil Bright. 2019. A Data-driven Support Strategy for a Sustainable Research Software Repository. Concurrency and Computation: Practice and Experience.
  23. Kevin Manalo, Levi Baber, Ryan Bradley, Zhi-Qiang You, and Nuyun Zhang. 2019. Community Collections: A Framework for Openly Sharing Software Stacks Across Research Computing Centers Using Singularity and Lmod. In PEARC 19: Practice and Experience in Advanced Research Computing, July 28 – August 1, 2019, Chicago, IL.
  24. Fang (Cherry) Liu, Y. Sun, A. Y. Sun and W. Xu, “Integrated HPC Scheduler Data Processing Workflow using Apache Zeppelin,” 2018 IEEE International Conference on Big Data (Big Data), 2018, pp. 4254-4260, doi: 10.1109/BigData.2018.8622085
  25. Yanzhe Cheng, Fang (Cherry) Liu, Shan Jing, Weijia Xu, and Duen Horng Chau. 2018. Building Big Data Processing and Visualization Pipeline through Apache Zeppelin. In Proceedings of the Practice and Experience on Advanced Research Computing (PEARC ’18). Association for Computing Machinery, New York, NY, USA, Article 57, 1–7. DOI:https://doi.org/10.1145/3219104.3229288.
  26. Semir Sarajlic, Julien Chastang, Suresh Marru, Jeremy Fischer, and Mike Lowe. 2018. Scaling JupyterHub Using Kubernetes on Jetstream Cloud: Platform as a Service for Research and Educational Initiatives in the Atmospheric Sciences. In PEARC 18: Practice and Experience in Advanced Research Computing, July 22-26, 2018, Pittsburgh, PA.
  27. Mehmet Belgin, Trever C. Nightingale, David A. Mercer, Fang (Cherry) Liu, Peter N. Wan, Andre C. McNeill, Ruben Lara, Paul Manno, and Neil Bright. 2018. ICE: A Federated Instructional Cluster Environment for Georgia Tech. In PEARC 18: Practice and Experience in Advanced Research Computing, July 22-26, 2018, Pittsburgh, PA.
  28. David Akin, Mehmet Belgin, Timothy A. Bouvet, Neil C. Bright, Stephen Harrell, Brian Haymore, Michael Jennings, Rich Knepper, Daniel LaPine, Fang (Cherry) Liu, Amiya Maji, Henry Neeman, Resa Reynolds, Andrew H. Sherman, Michael Showerman, Jenett Tillotson, John Towns, George Turner, and Brett Zimmerman. 2017. Linux Clusters Institute Workshops: Building the HPC and Research Computing Systems Professionals Workforce. In Proceedings of the HPC Systems Professionals Workshop (HPCSYSPROS’17). Association for Computing Machinery, New York, NY, USA, Article 4, 1–8. DOI:https://doi.org/10.1145/3155105.3155108.
  29. Fang (Cherry) Liu, Weijia Xu, Mehmet Belgin, Ruizhu Huang, and Blake C. Fleischer. 2017. Insights into Research Computing Operations using Big Data-Powered Log Analysis. In Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact (PEARC17). Association for Computing Machinery, New York, NY, USA, Article 31, 1–8. DOI:https://doi.org/10.1145/3093338.3093351
  30. Paras Jain, Chirag Tailor, Sam Ford, Liexiao (Richard) Ding, Michael Phillips, Fang (Cherry) Liu, Nagi Gebraeel, Duen Horng (Polo) Chau, “Scalable Architecture for Anomaly Detection and Visualization in Power Generating Assets,” 2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2017, pp. 1078-1082, doi: 10.1109/IPDPSW.2017.77
  31. Fang (Cherry) Liu, F. Shen, D. H. Chau, N. Bright, and M. Belgin, “Building a research data science platform from industrial machines,” 2016 IEEE International Conference on Big Data (Big Data), 2016, pp. 2270-2275, doi: 10.1109/BigData.2016.7840859

And this list represents other media that involve PACE members

  1. Pulsipher, D. (Host) & Coulter, E. (Guest).  (June 2025) “Optimizing HPC Usage for Researchers.” Embracing Digital Transformation [Podcast]. Retrieved from https://embracingdigital.org/episode-EDT240-en.
  2. Pulsipher, D. (Host) & Jezghani, A. (Guest).  (April 2025) “Revolutionizing HPC Management.” Embracing Digital Transformation [Podcast]. Retrieved from https://embracingdigital.org/episode-EDT239-en

Other Publications Resulting from use of PACE Resources

This list represents many other publications that utilized PACE resources.

  1. Huertas, J. A., & Pascal Van Hentenryck. (2025). Parallel Batch Scheduling With Incompatible Job Families Via Constraint Programming. IEEE Transactions on Semiconductor Manufacturing, 1–1. https://doi.org/10.1109/tsm.2025.3601510
  2. Huertas, J. A., & Pascal Van Hentenryck. (2025). Constraint programming models for serial batch scheduling with minimum batch size. Operations Research Perspectives, 15, 100352–100352. https://doi.org/10.1016/j.orp.2025.100352
  3. Listov, D., Vos, E., Hoffka, G., Hoch, S. Y., Berg, A., Hamer-Rogotner, S., Dym, O., Kamerlin, S. C. L., & Fleishman, S. J. (2025). Complete computational design of high-efficiency Kemp elimination enzymes. Nature, 643(8074), 1421–1427. https://doi.org/10.1038/s41586-025-09136-2
  4. Chen, W., Park, S., Tanneau, M. and Van Hentenryck, P., 2022. Learning optimization proxies for large-scale security-constrained economic dispatch. Electric Power Systems Research, 213, p.108566. https://doi.org/10.1016/j.epsr.2022.108566
  5. Dutreix, M., Huh, J. and Coogan, S., 2022. Abstraction-based synthesis for stochastic systems with omega-regular objectives. Nonlinear Analysis: Hybrid Systems, 45, p.101204. https://doi.org/10.1016/j.nahs.2022.101204
  6. Taheri, B., Molzahn, D.K. and Grijalva, S., 2023. Improving distribution system resilience by undergrounding lines and deploying mobile generators. Electric Power Systems Research, 214, p.108804. https://doi.org/10.1016/j.epsr.2022.108804
  7. Leamy, M.J., Autrusson, T.B., Staszewski, W.J., Uhl, T. and Packo, P., 2014, March. Local computational strategies for predicting wave propagation in nonlinear media. In Health Monitoring of Structural and Biological Systems 2014 (Vol. 9064, pp. 438-452). SPIE. https://doi.org/10.1117/12.2045041
  8. Mittal, V.K. and McDonald, J.F., 2012. R-SAP: a multi-threading computational pipeline for the characterization of high-throughput RNA-sequencing data. Nucleic acids research, 40(9), pp.e67-e67. https://doi.org/10.1093/nar/gks047
  9. Zhang, Z., Zhou, M., Niu, K. and Abdallah, C., 2021. The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset. https://doi.org/10.48550/arXiv.2108.03508 
  10. Robel, A. A., Pegler S.S., Catania G, Felikson D, Simkins LM, (2022). Ambiguous stability of glaciers at bed peaks. Journal of Glaciology 1-8, https://doi.org/10.1017/jog.2022.31
  11. Robel, A. A. and Wilson, E. and Seroussi, H., Layered seawater intrusion and melt under grounded ice, The Cryosphere, Volume 16, Issue 2, page 451–469, (Feb 2022) https://doi.org/10.5194/tc-16-451-2022
  12. Alexander A Robel, Sam Pegler, Ginny Anne Catania, Denis Felikson, Lauren M Simkins, Ambiguous stability of glaciers at bed peaks, pre-print for Geophysical Research Letters, https://www.essoar.org/pdfjs/10.1002/essoar.10507832.1
  13. Kezhou Lu, Jie He, Boniface Fosu, Maria A.A. Rugenstein, Mechanisms of Fast Walker Circulation Responses to CO2 Forcing, Earth and Space Science Open Archive 2021. https://doi.org/10.1002/essoar.10508519.1
  14. Boniface Fosu, Jie He, Giovanni Liguori, Equatorial Pacific Warming Attenuated by SST Warming Patterns in the Tropical Atlantic and Indian Oceans, Geophysical Research Letters, Volume 47, Issue 18, (Sept 2020 )https://doi.org/10.1029/2020GL088231
  15. Fosu, B., He, J. & Wang, SY.S. The influence of wintertime SST variability in the Western North Pacific on ENSO diversity. Clim Dyn 54, 3641–3654 (2020). https://doi.org/10.1007/s00382-020-05193-7
  16. Haobing Liu, Daejin Kim, Simulating the uncertain environmental impact of freight truck shifting programs, Atmospheric Environment, Volume 214 (2019) https://doi.org/10.1016/j.atmosenv.2019.116847
  17. Haobing Liu, Michael  O. Rodgers, Randall Guensler, Impact of road grade on vehicle speed-acceleration distribution, emissions and dispersion modeling on freeways, Transportation Research Part C: Emerging Technologies, Volume 69 (2019) https://doi.org/10.1016/j.trd.2019.01.028
  18. Bracco, A., Choi, J., Kurian, J. and Chang, P., 2018. Vertical and horizontal resolution dependency in the model representation of tracer dispersion along the continental slope in the northern Gulf of Mexico. Ocean Modelling, 122, pp.13-25. https://doi.org/10.1016/j.ocemod.2017.12.008 
  19. Haobing Liu, Hanyan Li, Michael  O. Rodgers, Randall Guensler, Development of road grade data using the United States geological survey digital elevation model,  Transportation Research Part C: Emerging Technologies, Volume 92 (2018) https://doi.org/10.1016/j.atmosenv.2019.116847
  20. Lv, W. et al. “Understanding Divergent Thermal Conductivity in Single Polythiophene Chains Using Green-Kubo Modal Analysis and Sonification.” The journal of physical chemistry. A 121 30 (2017): 5586-5596 . DOI:10.1021/acs.jpca.7b05099
  21. W. Lv, A. Henry, Direct Calculation of Modal Contributions to Thermal Conductivity via Green-Kubo Modal Analysis: Crystalline and Amorphous Silicon, New Journal of Physics, 18, 013028 (2016). https://iopscience.iop.org/article/10.1088/1367-2630/18/1/013028/pdf
  22. Mittal, V.K. and McDonald, J.F., 2015. Integrated sequence and expression analysis of ovarian cancer structural variants underscores the importance of gene fusion regulation. BMC medical genomics, 8(1), pp.1-12. https://doi.org/10.1186/s12920-015-0118-9