Overview
Availability
- Dr Chao Jin is:
- Available for supervision
Qualifications
- Doctor of Philosophy, Tsinghua University
Works
Search Professor Chao Jin’s works on UQ eSpace
2023
Journal Article
Moving small files in a networked environment
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
2022
Conference Publication
Democratising large scale instrument-based science through e-Infrastructure
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
2020
Conference Publication
A BeeGFS-based caching file system for data-intensive parallel computing
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
2019
Journal Article
Statistical and machine learning models for optimizing energy in parallel applications
Endrei, Mark, Jin, Chao, Dinh, Minh Ngoc, Abramson, David, Poxon, Heidi, DeRose, Luiz and de Supinski, Bronis R (2019). Statistical and machine learning models for optimizing energy in parallel applications. International Journal of High Performance Computing Applications, 33 (6), 109434201984291-1097. doi: 10.1177/1094342019842915
2019
Book Chapter
A Cache-based data movement infrastructure for on-demand scientific cloud computing
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
2018
Journal Article
A Bottleneck-Centric Tuning Policy for Optimizing Energy in Parallel Programs
Endrei, Mark, Jin, Chao, Dinh, Minh, Abramson, David, Poxon, Heidi, DeRose, Luiz and De Supinski, Bronis R. (2018). A Bottleneck-Centric Tuning Policy for Optimizing Energy in Parallel Programs. Advances in Parallel Computing, 32, 265-276. doi: 10.3233/978-1-61499-843-3-265
2018
Conference Publication
Energy efficiency modeling of parallel applications
Endrei, Mark, Jin, Chao, Dinh, Minh Ngoc, Abramson, David, Poxon, Heidi, DeRose, Luiz and de Supinski, Bronis R. (2018). Energy efficiency modeling of parallel applications. SC18: International Conference for High Performance Computing, Networking, Storage, and Analysis, Dallas, Texas, United States, 11-16 November 2018. Piscataway, NJ, United States: IEEE. doi: 10.1109/SC.2018.00020
2017
Conference Publication
A metropolitan area infrastructure for data intensive science
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
2016
Journal Article
A survey on software methods to improve the energy efficiency of parallel computing
Jin, Chao, de Supinski, Bronis R., Abramson, David, Poxon, Heidi, DeRose, Luiz, Dinh, Minh Ngoc, Endrei, Mark and Jessup, Elizabeth R. (2016). A survey on software methods to improve the energy efficiency of parallel computing. International Journal of High Performance Computing Applications, 31 (6), 517-549. doi: 10.1177/1094342016665471
2016
Conference Publication
Runtime verification of scientific codes using statistics
Dinh, Minh Ngoc, Abramson, David and Jin, Chao (2016). Runtime verification of scientific codes using statistics. International Conference on Computational Science, ICCS 2016, San Diego, CA, United States, 6 - 8 June 2016. Amsterdam, Netherlands: Elsevier BV. doi: 10.1016/j.procs.2016.05.468
2016
Conference Publication
Runtime verification of scientific computing: towards an extreme scale
Minh Ngoc Dinh, Jin, Chao, Abramson, David and Jeffery, Clinton L. (2016). Runtime verification of scientific computing: towards an extreme scale. Workshop on Extreme-Scale Programming Tools (ESPT), Salt Lake City, UT, United States, 13-18 November 2016. Piscataway, NJ, United States: IEEE. doi: 10.1109/ESPT.2016.008
2015
Journal Article
A data-centric framework for debugging highly parallel applications
Dinh, Minh Ngoc, Abramson, David, Jin, Chao, Gontarek, Andrew, Moench, Bob and DeRose, Luiz (2015). A data-centric framework for debugging highly parallel applications. Software: Practice and Experience, 45 (4), 501-526. doi: 10.1002/spe.2239
2015
Conference Publication
Relative debugging for a highly parallel hybrid computer system
DeRose, Luiz, Gontarek, Andrew, Vose, Aaron, Moench, Robert, Abramson, David, Dinh, Minh Ngoc and Jin, Chao (2015). Relative debugging for a highly parallel hybrid computer system. International Conference for High Performance Computing, Networking, Storage and Analysis, Austin, TX, United States, 15-20 November 2015. New York, NY, United States: ACM. doi: 10.1145/2807591.2807605
2014
Journal Article
Statistical assertion: a more powerful method for debugging scientific applications
Dinh, Minh Ngoc, Abramson, David and Jin, Chao (2014). Statistical assertion: a more powerful method for debugging scientific applications. Journal of Computational Science, 5 (2), 126-134. doi: 10.1016/j.jocs.2013.12.002
2014
Journal Article
Scalable relative debugging
Dinh, Minh Ngoc, Abramson, David and Jin, Chao (2014). Scalable relative debugging. IEEE Transactions on Parallel and Distributed Systems, 25 (3) 6487495, 740-749. doi: 10.1109/TPDS.2013.86
2014
Conference Publication
Supporting relative debugging for large-scale UPC programs
Dinh, Minh Ngoc, Abramson, David, Chao, Jin, Derose, Luiz, Moench, Bob and Gontarek, Andrew (2014). Supporting relative debugging for large-scale UPC programs. 14th Annual International Conference on Computational Science, ICCS 2014, Cairns, QLD Australia, 10-12 June 2014. Amsterdam, The Netherlands: Elsevier. doi: 10.1016/j.procs.2014.05.135
2013
Conference Publication
Extending the eclipse parallel tools platform debugger with scalable parallel debugging library
Jin, Chao, Ding, Liang and Abramson, David (2013). Extending the eclipse parallel tools platform debugger with scalable parallel debugging library. 13th Annual International Conference on Computational Science (ICCS), Barcelona, Spain, 5-7 June 2013. Amsterdam, The Netherlands: Elsevier. doi: 10.1016/j.procs.2013.05.346
2012
Journal Article
Scalable parallel debugging with statistical assertions
Minh Ngoc Dinh, Abramson, David, Jin, Chao, Gontarek, Andrew, Moench, Bob and DeRose, Luiz (2012). Scalable parallel debugging with statistical assertions. ACM SIGPLAN Notices, 47 (8), 311-312. doi: 10.1145/2370036.2145870
2012
Conference Publication
Scalable parallel debugging with statistical assertions
Dinh, Minh Ngoc, Abramson, David, Jin, Chao, Gontarek, Andrew, Moench, Bob and DeRose, Luiz (2012). Scalable parallel debugging with statistical assertions. 17th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP'12, New Orleans, LA United States, 25 - 29 February 2012. New York, NY, USA: Association for Computing Machinery. doi: 10.1145/2145816.2145870
2012
Conference Publication
A scalable parallel debugging library with pluggable communication protocols
Jin, Chao, Abramson, David, Dinh, Minh Ngo, Gontarek, Andrew, Moench, Robert and DeRose, Luiz (2012). A scalable parallel debugging library with pluggable communication protocols. 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2012, Ottawa, ON, 13 - 16 May 2012. Los Alamitos, Calif: I E E E Communications Society. doi: 10.1109/CCGrid.2012.13
Supervision
Availability
- Dr Chao Jin is:
- Available for supervision
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Supervision history
Current supervision
-
Doctor Philosophy
The design and implementation of generic research data infrastructure.
Associate Advisor
-
Doctor Philosophy
Tuning parallel applications on software defined supercomputers
Associate Advisor
Completed supervision
-
2020
Doctor Philosophy
Energy Efficiency Models for Scientific Applications on Supercomputers
Associate Advisor
Media
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