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Details of Grant 

EPSRC Reference: EP/G036136/1
Title: Numerical Algorithms and Intelligent Software for the Evolving HPC Platform
Principal Investigator: Yellowlees, Professor L
Other Investigators:
Duncan, Professor D Trew, Professor AS Ainsworth, Professor M
Leimkuhler, Professor B
Researcher Co-Investigators:
Project Partners:
Orange Telecom (International) SAS Institute Inc
Department: Sch of Mathematics
Organisation: University of Edinburgh
Scheme: Science and Innovation Awards
Starts: 01 August 2009 Ends: 31 July 2014 Value (£): 4,550,814
EPSRC Research Topic Classifications:
High Performance Computing
EPSRC Industrial Sector Classifications:
Related Grants:
Panel History:
Panel DatePanel NameOutcome
30 Oct 2008 Science and Innovation Awards 5 Announced
Summary on Grant Application Form
Advances in computing power have broadened the spectrum of applications amenable to computational treatment, but software improvements must keep pace with advances in computing technology if new hardware investment is to be fully exploited for the benefit of society. Numerical analysis is a traditional strength of UK mathematics, but it must establish new means of collaboration with computer scientists to be relevant for the fast changing platforms of high performance computing. In this well-supported and timely initiative, numerical analysts at Edinburgh, Heriot-Watt and Strathclyde Universities will work together with compiler experts from Edinburgh Informatics and specialists in parallel computing from the Edinburgh Parallel Computing Centre (EPCC) to improve the software development paradigm for implementation of numerical algorithms on diverse and evolving multiprocessor systems. By bringing mathematicians and computer scientists into close collaboration with HPC specialists, this initiative will address key issues raised in the international reviews of UK mathematics and high performance computing. Additional strategic appointments will be made by the universities, providing a sustainable, long-term commitment. Advanced numerical algorithms will be developed for state-of-the-art applications, such as high order adaptive finite elements for solid and fluid mechanics, numerical optimization, multi-scale methods, and new parallel methods for molecular simulation and data analysis. Algorithms will be coded using better systems of markup and annotation, and new compilation techniques will be introduced by the computer scientists and implemented in collaboration with researchers at EPCC. This paradigm shifts the details of implementation to compilers, but compilers informed by algorithm developers via annotation. The methods developed will have clear potential to impact the key themes of the EPSRC delivery plan, including energy, health sciences, nanoscience, and the digital economy. To strengthen the uptake of new methodology among the research base, algorithms will be tested and their performance evaluated in collaboration with applications scientists and engineers. This proposal includes knowledge exchange partnerships with major computing companies (HP, IBM, SGI) as well as industrial users of HPC algorithms (Schlumberger, Orange/France Telecom, SAS), opening new pathways for effective utilisation of new software techniques. Connections to national laboratories such as Daresbury and Rutherford Appleton are also planned. The project is further enhanced through funded connections with Cambridge University, the University of Warwick, and the Wales Institute for Mathematical and Computational Science.
Key Findings
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Potential use in non-academic contexts
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Date Materialised
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Organisation Website: http://www.ed.ac.uk