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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
Analysis and Detection of Stagnation in Floating-Point Summation
Stagnation in the summation of floating-point numbers occurs when the running sum, or the accumulator, does not change its value...
Rounding Error Analysis of Artificial Neural Networks in Floating-Point Arithmetic
The increasing size and computational cost of modern artificial neural networks have led to a massive use of low precision...
Navier–Stokes Equations on Riemannian Manifolds: Mathematical Formulation and Numerical Simulations
Fluid flows on curved manifolds arise naturally in a variety of applications, ranging from surface fluid dynamics and geophysical flows...
Posts
Members of the Scientific Computation group organise a minisymposium within SIAM PP 2026
Author: Mantas Mikaitis SIAM Conference on Parallel Processing for Scientific Computing (PP26) took place on March 3-6, 2026, in Berlin, Germany, at the Zuse Institute...
New Preprint: Accurate Models of NVIDIA Tensor Cores
Author: Faizan A. Khattak Introduction Recent TOP500 supercomputers show a clear architectural trend: over half of the systems in the TOP500 support mixed-precision matrix multiplication...
ENUMATH 2025 Minisymposium on Probabilistic Rounding
Author: Mantas Mikaitis The European Conference on Numerical Mathematics and Advanced Applications (ENUMATH) took place on September 1-5, 2025, in Heidelberg, Germany, on the Heidelberg...