Dr Hans Vandierendonck
Hans’ research seeks to understand how to maximise the utilisation of computer systems in order to increase speed of computation, or reduce energy consumption. A central tenet of his research is to tease out key characteristics of applications, software and hardware and leverage these to develop bespoke algorithms and optimizations. His research focusses on runtime-system techniques, compilation and application-specific solutions. He has applied his research to scientific computing codes and data analytics problems.
Prospective students with an interest in high-performance computing, runtime systems and compilation, or performance and scalability aspects of data analytics, in particular graph analytics, are welcome to apply.
I am moreover developing an interest in blockchain technology.Make a PhD enquiry
PUBLIC OUTREACH AND KEY ACHIEVEMENTS
PhD title: SYNAPSE: Symbiotic Network and Content Processing Engine
Name: Konstantin Bakanov
Years of Study: 2011-2019
PhD title: Efficient Neural Network Architecture Search
Name: Roxana Istrate
Years of Study: 2016-2019
PhD title: Byzantine Paxos to Solve Consensus in Blockchain Technology
Name: Michael Davis
Years of Study: 2018-2021
Country: Northern Ireland
Alumni: where are they now?
PhD title: Characterising and optimising in-memory database systems for emerging memory technologies
Years of Study: 2016
Current position: SAP (Maidenhead)
PhD Title: The GraphGrind Framework: Fast Graph Analytics for Large Shared-Memory Systems
Years of Study: 2018
Current position: Research Fellow at The University of Edinburgh
Jiawen Sun is finalist in the EPSRC Connected Nation Pioneers competition.
PhD Title: Profile-Driven Discovery of Parallelism for Multi-Core Processors
Years of Study: 2010
Current position: Director IT Budget and Governance at Liberty Global
PhD Title: Runtime systems for significance-based computing
Years of Study: 2017
Current position: Research engineer, Barcelona Supercomputing Centre, Spain
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