Prof Michèle Weiland

Director of Research & Met Office Joint Chair
Telephone
+44 (0) 131 651 3580

I joined EPCC in 2006 after studies in Medical Informatics (University of Heidelberg) and Computing (Napier University), and completing a PhD in Music & Artificial Intelligence at the University of Edinburgh. My main research interests are in the fields of energy efficiency in HPC, software performance analysis and optimisation, and novel hardware.

Michele Weiland

I currently supervise 3 PhD students working on sparse matrix storage formats, high productivity programming languages on Arm CPUs, and performance optimisation of mesh refinement tools.

My current work focuses on the following projects:

  • The ASiMoV Strategic Prosperity Partnership with Rolls-Royce (Technical Project Manager)
  • ARCHER2 eCSE project Developing in-situ analysis capabilities for pre-Exascale simulations with Xcompact3D (Co-I)
  • ELEMENT, the Exascale Mesh Network (Co-I)
  • SAGE2, a H2020 project on object storage technologies (Edinburgh PI)
  • HPC-WE, an EU-Brazil project on applying HPC to Wind Energy simlaltions (Edinburgh PI)

I have been involved in the following projects in the past:

  • Adept - Addressing Energy in Parallel Technologies (Project Coordinator): FP7-fundedproject investigating the power and energy consumption of parallel software in both HPC and Embedded domains
  • NEXTGenIO - Next Generation I/O for Exascale (Project Manager): Horizon 2020 funded project developing new hardware and software solutions for I/O at the Exascale;
  • ExaFLOW - Enabling Exascale Fluid Dynamics Simulations (PI): Horizon 2020 funded project working towards algorithmic improvements to enable fluid dynamics simulations at the Exascale;
  • MONC - Met Office NERC Cloud model (PI): project working on the development of a new community cloud modelling application, with the aim of dramatically improving both resolution and performance;
  • Intel Parallel Computing Centre (Co-I): working on porting grand challenge applications to Xeon Phi and optimising their performance;
  • A new simulation and optimisation platform for marine technology (Co-I): EPSRC-funded Software for the Future IIproject that focusses on re-engineering a marine scale modelling package to provide performance-portability,future-proofing and substantially increased capabilities;
  • Scalable automated parallel PDE-constrained optimisation for dolfin-adjoint (Co-I): ARCHER eCSE project working on improving the scaling and parallel performance of the dolfin-adjoint software;
  • Enabling large-scale microphysics and optimising solver performance in MONC (Co-I): ARCHER eCSE project working on improving MONC's performance on the UK's national supercomputer.