Organisation profile

Organisation profile

The HPDC Cluster conducts pioneering research on software for massively parallel computing systems. Research considers systems at all scales, from custom heterogeneous many-core designs for the embedded systems domain, to Exascale systems and Datacentres. The Cluster adopts a holistic approach that addresses simultaneously the challenges of high performance, performance portability and dependability, energy-efficiency and reliability. Ongoing projects build upon and explore disruptive hardware technologies, developing methods to seamlessly integrate these technologies into the high-performance computing ecosystem and, in the long term, the mainstream computing ecosystem.

The HPDC Research Cluster has expertise in all layers of the system software stack, including languages, libraries, compilers, runtime systems, operating systems, virtualisation environments, firmware and tools. Expertise in system software is complemented by expertise in theoretical foundations of parallel computation, where Queen's University has a long-standing tradition, computational science and high-performance algorithmics. Research projects in the Cluster are largely application-driven. The Cluster regularly interacts with industry to revise its research and education portfolio, towards training a next generation of experts who are ideally positioned to contribute HPDC technology to emerging market domains. As part of this effort, the Cluster currently explores research, development and training activities in the domains of High Performance Computational Finance and Real-Time Big Data Analytics.

The HPDC Cluster has an extensive network of collaborators, ranging from leading technology provides such as IBM, Intel, ARM, SAP and HP, to SMEs, and from supercomputing centres such as EPCC, LLNL, ORNL, BSC, JSC and HLRS to peer academic groups. Many of these partnerships materialise in collaborative international projects funded by EC Framework Programmes, EPSRC and the industry. The Cluster has active memberships and significant involvement in the European Network of Excellence on High Performance and Embedded Architectures and Compilers (HiPEAC) and the EPSRC Network on Numerical Algorithms and High Performance Computing.

Fingerprint Dive into the research topics where High Performance and Distributed Computing is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Data storage equipment Engineering & Materials Science
Parallel programming Engineering & Materials Science
Hardware Engineering & Materials Science
Servers Engineering & Materials Science
Scheduling Engineering & Materials Science
Energy utilization Engineering & Materials Science
Program processors Engineering & Materials Science
Energy efficiency Engineering & Materials Science

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Research Output 1980 2018

Open Access
Energy conservation
2 Citations (Scopus)

ALEA: A Fine-Grain Energy Profiling Tool

Mukhanov, L., Petoumenos, P., Wang, Z., Parasyris, N., Nikolopoulos, D. S., De Supinski, B. R. & Leather, H., 12 Mar 2017, In : ACM Transactions on Architecture and Code Optimization . 14, 1, 25 p., 1.

Research output: Contribution to journalArticle

Open Access
Energy conservation
Energy utilization
Electric power measurement
Energy efficiency
Electric power utilization
1 Citation (Scopus)

A Scalable and Composable Map-Reduce System

Arif, M., Vandierendonck, H., Nikolopoulos, D. S. & de Supinski, B. R., 06 Feb 2017, Proceedings of 2016 IEEE International Conference on Big Data (Big Data). IEEE , p. 2233-2242 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
Data storage equipment
Data structures


MEDAL workshop paper dataset

Vandierendonck, H. (Creator), Queen's University Belfast, 08 Feb 2016




Adjunct Professorship in Computer Science

Dimitrios Nikolopoulos (Recipient), 01 Jan 2013

Prize: National/international honour

Alexander von Humboldt Research Fellowship

Norman Scott (Recipient), 1994

Prize: Fellowship awarded competitively

Awarded Senior Membership of the ACM

Hans Vandierendonck (Recipient), 01 Aug 2013

Prize: Fellowship awarded competitively

Activities 1983 2019

ISC'19 High Performance Computing Conference

Dimitrios Nikolopoulos (Member of programme committee)
16 Jun 2019

Activity: Participating in or organising an event typesParticipation in conference

IEEE Transactions on Network and Service Management (Journal)

Hans Vandierendonck (Peer reviewer)
Jun 2019Aug 2019

Activity: Publication peer-review and editorial work typesPublication peer-review

IEEE Transactions on Knowledge and Data Engineering (Journal)

Ivor Spence (Peer reviewer)
01 Jan 201931 Jan 2019

Activity: Publication peer-review and editorial work typesPublication peer-review

Press / Media