Governance Models for Research Compute

Ms Jo Dalvean1,Dr Ian Thomas1, Mr Nick May1, Dr Steve Quenette2, Dr Christopher Adda3, Dr Bernard Meade4, Luc Betbeder-Matibet5

1RMIT University, Melbourne, Australia
2Monash University, Clayton, Australia
3La Trobe University, Bundoora, Australia
4The University of Melbourne, Parkville, Australia
5University of New South Wales


With the current challenges of increasing demand and reduced budgets, research institutions need careful accounting and optimisation of policies and processes.  As new compute capabilities are implemented, allocating research compute to researchers has become more complex and urgent.  These enabling technologies are key for research impact, but also require significant investment.  This mandates a need for responsive and equitable approaches to managing  resources.

The purpose of this BOF to enable experts to discuss challenges and strategies for handling governance of research computing allocations (such as HPC or cloud) to researchers, focussing primarily on policy, procedures and politics.  Are there models that would allow this process to be more fair, efficient and transparent for both users, institutions and the providers?  Is there any consensus on the best practice on allocating scarce resources?  Does this practice change for different classes of researchers and compute?


We start with introduction to the topic followed by some short talks by community leaders on this topic to help stimulate discussion.  Most of the session will be devoted to group discussion on specific questions.


We hope to uncover key principles for successful governance of research compute from the experiences of the participants and then organise suitable follow-on activities.


Now that advanced research compute has moved from a niche requirement to a key enabler of impact, best practice models for handling these expensive resources becomes crucial.  We must move from ad-hoc heuristics and adaptations of existing processes to a more efficient and effective approach.


Ms Jo Dalvean (0000-0002-7502-3202) is Implementation Lead for a project delivering improved research data and computing services at RMIT University. The role includes development of allocation, usage and reporting models for research compute services.

Dr Ian Thomas (

Mr Nick May (

Dr Steve Quenette (

Dr Christopher Adda (

Dr Bernard Meade (

Luc Betbeder-Matibet (

Recent Comments