Journal Articles
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
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
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
Conference Papers
Jin, Chao, Abramson, David, Qutaish, Mo'ath, Endrei, Mark and R. de Supinski, Bronis (2025). A cache interaction graph for data locality optimization. 2025 Workshops of the International Conference for High Performance Computing Networking Storage and Analysis-SC-W, St. Louis, MO United States, 16-21 November 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3731599.3767516
Ali, Rubbiya A., Endrei, Mark, Mason, Tom, Mudiyanselage, Nishanthi D., Carroll, Jake and Wepf, Roger (2025). Enhancing research through FAIR-compliant imaging data repositories: the PITSCHI – a solution for large-scale/multi-user imaging facilities. 13th Asia Pacific Microscopy Congress 2025 (APMC13), Brisbane, QLD Australia, 2-7 February 2025. Berlin, Germany: ScienceOpen. doi: 10.14293/apmc13-2025-0339
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
Thesis
Endrei, Mark (2020). Energy Efficiency Models for Scientific Applications on Supercomputers. PhD Thesis, School of Information Technology and Electrical Engineering, The University of Queensland. doi: 10.14264/uql.2020.108
Data Collections
Endrei, Mark and Abramson, David (2019). HPC Models. The University of Queensland. (Dataset) doi: 10.14264/uql.2019.134
Endrei, Mark and Abramson, David (2019). Artefacts archive for energy efficiency models for scientific applications on supercomputers. The University of Queensland. (Dataset) doi: 10.14264/uql.2019.697