Research Computing Centre

Dr Mark Endrei

Senior Research Software Developer
Research Computing Centre

Expertise: IT service design, integration, and planning, including Cloud XaaS services. Mark's PhD subject area is energy efficient high performance computing.

Background: Mark has a Bachelor of Engineering (H1) in Computer Systems Engineering from RMIT. He has more than 20 years' IT industry experience, working with large corporations both nationally and internationally.

Publications

Journal Articles (3)
Conference Paper (1)
Thesis (1)
Data Collections (2)

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 Paper

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