Skip to menu Skip to content Skip to footer
The University of Queensland
  • Study
  • Research
  • Partners and community
  • About
School of Electrical Engineering and Computer Science
  • Home
  • About
    • About
    • News
    • Facilities
    • Occupational health and safety
    • Engineering and Technical Support Group
  • Study
  • Research
    • Research
    • Research Centres
  • Current students
    • Current students
    • Academic Advice & Study Plans
    • Student Guidelines
    • Postgraduate research students
    • Student Consultative Committee
    • Thesis coursework information
    • EECS Learning Centre
  • Engage
    • Engage
    • Student Showcase and Events
    • Industry Advisory Board
    • Partner with us
    • Events
  • Giving
  • Contact
    • Contact
    • Our people
  • Study
  • Research
  • Partners and community
  • About
  • UQ home
  • News
  • Events
  • Give
  • Contact
  • UQ home
  • News
  • Events
  • Give
  • Contact
School of Electrical Engineering and Computer Science
  • Home
  • About
    • News
    • Facilities
    • Occupational health and safety
    • Engineering and Technical Support Group
  • Study
  • Research
    • Research Centres
  • Current students
    • Academic Advice & Study Plans
    • Student Guidelines
    • Postgraduate research students
    • Student Consultative Committee
    • Thesis coursework information
    • EECS Learning Centre
  • Engage
    • Student Showcase and Events
    • Industry Advisory Board
    • Partner with us
    • Events
  • Giving
  • Contact
    • Our people

Dr Mark Endrei

mark.endrei@uq.edu.au

Publications

Journal Articles (3)
Conference Papers (2)
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 Papers

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
UQ acknowledges the Traditional Owners and their custodianship of the lands on which UQ is situated. — Reconciliation at UQ
  • Media

    • Media team contacts
    • Find a subject matter expert
    • UQ news
  • Working at UQ

    • Current staff
    • Careers at UQ
    • Strategic plan
    • Staff support
    • IT support for staff
  • Current students

    • my.UQ
    • Programs and courses
    • Key dates
    • Student support
    • IT support for students
  • Library

    • Library
    • Study and learning support
    • Research and publish
    • Visit
  • Contact

    • Contact UQ
    • Make a complaint
    • Faculties, schools, institutes and centres
    • Divisions and departments
    • Campuses, maps and transport
    • Media team contacts
    • Find a subject matter expert
    • UQ news
    • Current staff
    • Careers at UQ
    • Strategic plan
    • Staff support
    • IT support for staff
    • my.UQ
    • Programs and courses
    • Key dates
    • Student support
    • IT support for students
    • Library
    • Study and learning support
    • Research and publish
    • Visit
    • Contact UQ
    • Make a complaint
    • Faculties, schools, institutes and centres
    • Divisions and departments
    • Campuses, maps and transport
Web login
  • © The University of Queensland
  • ABN: 63 942 912 684
  • CRICOS: 00025B
  • TEQSA: PRV12080
  • Copyright, privacy and disclaimer
  • Accessibility
  • Right to information
  • Feedback