Funded studentship: Efficient Parallelization of the Multilevel Fast Multipole Algorithm on Supercomputers

Reference no.: OE1

Supervisor: Dr Ozgur Ergul

Date advertised: 17th November 2011

Please contact Dr Ozgur Ergul for further information.

This project, which will be supervised by Dr Ozgur Ergul, will be based in the Department of Mathematics and Statistics at the University of Strathclyde.

The successful candidate is expected to have an undergraduate or postgraduate training in mathematics, computer science, engineering or similar numerate discipline and be keen to participate in development and implementation of novel numerical algorithms for computational simulations on high performance computers.

Major aims of the project are:

  • studying parallel implementations for large-scale electromagnetics problems and assessing major bottlenecks and large memory footprints in these implementations, especially as the number of processes increases
  • applying hybrid distributed/shared memory programming using MPI + OpenMP to improve the implementations and making them suitable for supercomputers
  • performing experiments and improving the implementations by using load balancing, communication/computation overlapping, and memory recycling
  • porting the implementations on supercomputers using increasingly large numbers of processors and performing the solution of extremely large electromagnetics problems from real-life applications, such as nano-antennas, metamaterials, and medical imaging.As such, the candidate should ideally have experience on programming in a high level language such as C, C++, FORTRAN or similar. Experience of using parallel computers would also be an advantage.

Scholarship (to be confirmed): The project is funded by the Centre for Numerical Algorithms and Intelligent Software - a recently formed large multidisciplinary research centre based at the Universities of Strathclyde, Edinburgh, and Heriot-Watt.

This exciting new centre provides a unique opportunity through which the student will have access to advanced training and state-of-the-art hardware. The nature of funding allows for full scholarship to British students, whereas tuition fee is covered for students from EU countries.