Alessando Bolis Research Associate
+44 (0)20 7594 5103
Alessandro Bolis obtained his BSc and MSc degree with honours in Aerospace Engineering at Polytechnic of Milan. He did his final year project at Rolls-Royce plc (Derby) on a research project called “Main annulus gas path interaction”.
In 2009 Alessandro Bolis joined the Department of Aeronautics at Imperial College London as a PhD student funded by EPSRC and under Prof. Spencer Sherwin supervision. As a researcher associated with the UK Turbulence Consortium network he has been working on Work-Package 7c – Algorithmic demands of future architectures. He finished is PhD in 2013 and he then joined Prof. Sherwin group as a post-doc.
His research focuses on numerical methods to solve partial differential equations associated with fluid dynamics applications with particular emphasis on computational efficiency of high-order methods and high-performance computing. Investigations specifically concern:
The efficiency of spectral and spectral/hp element methods, and combination of them, to solve the three-dimensional incompressible Navier-Stokes equations.
Optimal time-integration strategies for hyperbolic equations and the interactions between the spatial and temporal discretisation for high/low order methods.
Hybrid parallelization strategies to optimize scalability depending on the hardware and problem nature (using MPI).
Algorithm design using C++ to improve code flexibility and allow the switch between parallelization strategies and numerical techniques.
Flow past moving bodies.
A. Bolis, C.D. Cantwell, R.M. Kirby, and S.J. Sherwin. From h to p efficiently: Optimal implementation strategies for explicit time-dependent problems using the spectral/hp element method. Submitted to International Journal for Numerical Methods in Fluids, 2013.
P.E.J. Vos, C. Eskilsson, A. Bolis, S. Chun, R.M. Kirby, and S.J. Sherwin. A generic framework for time-stepping partial differential equations (PDEs): general linear methods, object-oriented implementation and application to fluid problems. International Journal of Computational Fluid Dynamics, 25(3):10725, 2011