Mr Jake Carroll
Director, Research Computing Centre
Research Computing Centre
+61 7 334 66407
Book Chapter
Abramson, David, Carroll, Jake, Jin, Chao, Mallon, Michael, van Iperen, Zane, Nguyen, Hoang, McRae, Allan and Ming, Liang (2019). A Cache-based data movement infrastructure for on-demand scientific cloud computing. Supercomputing frontiers. (pp. 38-56) Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-18645-6_3
Journal Article
Jin, Chao, Abramson, David, Carroll, Jake, Liu, Zhengchun and Kettimuthu, Rajkumar (2023). Moving small files in a networked environment. Future Generation Computer Systems, 139, 167-180. doi: 10.1016/j.future.2022.09.016
Conference Papers
Abramson, David, Barkauskas, Deborah S., Carroll, Jake, Condon, Nicholas D, Modhiran, Naphak, Nguyen, Hoang, Springfield, James, Watterson, Daniel and Jin, Chao (2022). Democratising large scale instrument-based science through e-Infrastructure. IEEE 18th International Conference on E-Science (E-Science), Salt Lake City, UT USA, 10-14 October 2022. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/escience55777.2022.00033
Abramson, David, Jin, Chao, Luong, Justin and Carroll, Jake (2020). A BeeGFS-based caching file system for data-intensive parallel computing. SCFA: Asian Conference on Supercomputing Frontiers, Singapore, Singapore, 24-27 February 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-48842-0_1
Abramson, David, Carroll, Jake, Jin, Chao and Mallon, Michael (2017). A metropolitan area infrastructure for data intensive science. Annual IEEE International Conference on e-Science (e-Science), Auckland, New Zealand, 24-27 October 2017. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/eScience.2017.37
Working Paper
Abramson, David, Carroll, Jake, Betbeder-Matibet, Luc, Bird, Stephen, Francis, Rhys, Goscinski, Wojtek, Soo, Ai-Lin, Swan, Garry, Walsh, Carmel, Wightwick, Glenn and Wilkinson, J Max (2024). A reference architecture for research data. Research Computing Centre, The University of Queensland. doi: 10.14264/1c8e79c