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Personal profile

Research interests

  • Performance portablity
  • Application-based fault tolerance (ABFT)
  • New algorithms for novel architectures
  • Heterogeneous, many-core processor architectures, including GPUs, Xeon Phi, FPGAs, DSPs etc.
  • Scaling applications to run on millions of cores (Exascale computing)


  • Senior Lecturer in High Performance Computing and Architectures at the University of Bristol
  • Chair of the Many-core and Reconfigurable Supercomputing Conference (MRSC)
  • Member of EPSRC's new Research Infrastructure Strategic Advisory Team (since 2011)
  • Member of EPSRC's resource allocation panel (RAP) for HECToR
  • Member of the programme committee for IEEE/ACM SuperComputing 2010
  • Part of the International Exascale Software Project from April 2010
  • Technical expert in the European Exascale Software Initiative (EESI) since November 2010
  • Member of the programme committee for the International Supercomputing Conference
  • Member of the programme committee for the Programmability Issues for Heterogeneous Multicores (MULTIPROG-2011) workshop, part of HiPEAC '11
  • Member of the programme committee for the Second International Conference on Energy-Aware High Performance Computing
  • Member of the University of Bristol's HPC executive and technical advisory board


I have fifteen years of experience in industry designing and programming some of the world's fastest parallel processors using many-core and multi-core techniques. These processors were developed for High Performance Computing (HPC) and embedded Digital Signal Processing (DSP) applications. Research interests include using the latest graphics processors (GPUs) to solve important computational problems in HPC and using parallel programming languages such as OpenMP, MPI, OpenCL and CUDA. Applications of interest are generally within the life sciences space, such as genome sequencing, molecular dynamics (e.g. protein folding and drug docking), and also quantum chemistry. I am also interested in the issues of scaling super computers to millions of processors.

  • High Performance Computing
  • HPC
  • GPU computing
  • many-core processors
  • multi-core processors
  • computer architecture


  • Power efficient computing
  • algorithms


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