Main research findings
When it comes to human health and computing, time is important because life depends on it. Thus having applications that runs fast, very fast, is essential.
However, creating optimized application for complex and powerful hardware is a difficult task that requires huge programming and thinking efforts from programmers and scientists.
In our work, we provide solutions to obtain high performance applied to human heart simulation using the most powerful hardware available while trying to lower the programming effort.
To do so, we have used disruptive programming style (PGAS, Partitioned Global Address Space) and we provide a way to predict obtainable performance.
Before the defence,Jérémie Lagravière presented his trial lecture"Applications of machine learning in optimising compilers".
The PhD defence and trial lecture were fully digital.
- Professor Sven-Bodo Scholz, Faculty of Science, University of Nijmegen, The Netherlands
- Dr. Emmanuelle Saillard, Inria Research Center, France
- Professor Tor Skeie, Department of Informatics, University of Oslo, Norway
- Professor Xing Cai,Department of Informatics/ Simula Research Laboratory
- Professor Hoai Phuong Ha,Department of Computer Science, UiT The Arctic University of Norway
- Dr. Johannes Langguth,Simula Research Laboratory
Chair of defence
- Professor Ellen Munthe-Kaas, Department of Informatics, UiO