Prof. Mark Parsons

Position:
Personal Chair in High Performance Computing
Institution:
Edinburgh
Email address:
m.parsons@epcc.ed.ac.uk
Website:
http://www.epcc.ed.ac.uk/
Telephone number:
+44 (0)131 650 5022
Address:
EPCC, James Clerk Maxwell Building, Peter Guthrie Tait Road, Edinburgh, EH9 3FD, United Kingdom

Research interests

Recently my research has followed two broad themes – (i) next generation supercomputing and data intensive technologies and (ii) the development of novel knowledge exchange approaches to the challenges of business and society. The first category saw the end of my Grid Computing research which culminated in leadership of €16m NextGRID FP6 project, the successful completion of the ‘Maxwell’ FPGA supercomputer, development of the EDIM1 data intensive computer and the data analytics technologies needed to use it through leadership of the ADMIRE FP7 project.

My current focus is Exascale computing through leadership of the €12m CRESTA FP7 project. The second category has been focussed on continuing to develop EPCC’s highly successful industry programme and developing bids to the EC’s EIT for an Edinburgh-led Knowledge Innovation Community. This work developed a €6.2 billion KIC bid in 2010 and is now developing a new bid for 2014 focussed on Healthy Living and Active Ageing. I also lead the €22m FORTISSIMO FP7 project which is providing an HPC Cloud of modelling and simulation resources for manufacturing SMEs across Europe.

Teaching

I teach on EPCC's MSc in High Performance Computing. My lectures focus on my research interests in next generation High Performance Computing research - currently the challenge that Exascale poses - and data intensive computing.

Research outputs

  1. Exploiting the Performance Benefits of Storage Class Memory for HPC and HPDA Workflows DOI
    Michele Weiland, Adrian Jackson, Nick Johnson and Mark Parsons, Supercomputing Frontiers and Innovations, 5, 1 , p. 79-94 (2018)
  2. Evaluation Methodology of an NVRAM-based Platform for the Exascale
    Juan F. R. Herrera, Suraj Prabhakaran, Michele Weiland and Mark Parsons, p. 11 (2018)
  3. Resource requirement specification for novel data-aware and workflow-enabled HPC job schedulers
    Emmanouil Farsarakis, Iakovos Panourgias, William Jackson, Juan F. R. Herrera, Michele Weiland and Mark Parsons (2017)
  4. Healthcare Data Safe Havens: Towards a Logical Architecture and Experiment Automation DOI
    Dave Robertson, Fausto Giunchiglia, Stephen Pavis, Ettore Turra, Gabor Bella, Elizabeth Elliot, Andrew Morris, Malcolm Atkinson, Gordon McAllister, Areti Manataki et al., The Journal of Engineering (2016)
  5. Monitoring and evaluating I/O performance of HPC systems
    William Jackson, Michele Weiland, Mark Parsons and Emmanouil Farsarakis (2016)
  6. Parallel Computing: On the Road to Exascale
    Mark Parsons (Editor), Hugh Leather (Editor), Christopher Sawyer (Editor), Gerhard Joubert (Editor) and Frans Peters (Editor), : Advances in Parallel Computing, 27 (2016)
  7. Symposium on experiences of porting and optimising code for Xeon Phi processors DOI
    Adrian Jackson, Michèle Weiland, Mark Parsons and Simon McIntosh-Smith, Advances in Parallel Computing, 27, p. 573 (2016)
  8. Innovative Algorithms for Extreme Scale Computing DOI
    Frédéric Magoulès (Editor), Mark Parsons (Editor) and Lorna Smith (Editor), International Journal of High Performance Computing Applications, 29, 3 , p. 247-248 (2015)
  9. Industrial Use of High-Performance Computing in the United Kingdom
    Mark Parsons and Francis Wray, p. 169-178 (2015)
  10. Feasibility Study of Porting a Particle Transport Code to FPGA DOI
    Iakovos Panourgias, Michele Weiland, Mark Parsons, David Turland, Dave Barrett and Wayne Gaudin, : Theoretical Computer Science and General Issues, p. 139-154 (2015)
Last updated: 19 Feb 2018 at 21:11