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The Scientific computation group
In the Scientific Computation group we apply advanced modelling techniques and numerical algorithms to represent and solve complex, real-world problems in industry and nature, with an emphasis on overall performance and efficient scaling when deployed on massively parallel architectures. We collaborate broadly across the University and beyond, with many successful multi-disciplinary projects spanning mechanical engineering to microbiology.
Seminars
Decomposition of Polynomial Matrices: Algorithms and Applications
Polynomial matrices arise naturally in a variety of signal processing, control, communication, and MIMO system applications. Similar to conventional matrices,...
Overview of New Floating-Point Standards: IEEE P3109 (May 2024 interim report) and Open Compute Project OCP8/MX 1.0
1985 saw a release of one of the most important standards in computing, the IEEE 754-1985 floating-point standard, which is...