Computing

Our multi-disciplinary research targets strategic software technologies and applications, preparing them for current and next generation HPC architectures.

High-performance computing is at an exciting juncture. Current petascale systems enable a wide range of world-class science. However as we look towards future architectures, characteristics such as massive parallelism and heterogeneity will place considerable strain on the ability of existing software technologies and simulation codes to use these systems efficiently. 

Our research programme

We are working to:

  • Advance current software technologies in high-performance computing through innovation in languages, models, tools and algorithms;
  • Enable world-class science on current and future architectures through both long-term strategic partnerships and medium-term collaborations with world-leading scientists;
  • Enhance our understanding of the performance characteristics of developing HPC models, languages and architectures.

Software for future HPC systems

The next generation of HPC architectures are expected to be bounded by characteristics such as massive parallelism and heterogeneity. We have an extensive programme of research into preparing current software technologies for these systems, particularly at the exascale level. Specific areas of interest include programming models and languages, auto-tuning techniques and fault tolerance.

Modelling and Simulation

EPCC has established long-term, strategic partnerships with leading scientists in the areas of soft matter physics, molecular simulation, quantum chemistry and genomics.

Enabling world-class science

We collaborate on short and long-term projects in a wide range of scientific areas, optimising, developing and enabling applications for current and future HPC systems.

Performance characterisation and benchmarking

The heterogeneity of current HPC architectures has resulted in an increase in the number of possible programming models available to scientists. Such models may be used either on their own or as part of a hybrid approach. Understanding the performance characteristics of these models is essential. EPCC has established expertise in benchmark development and has developed a series of micro-benchmarks to assess programming model performance.

Computing infrastructures

PRACE (Partnership for Advanced Computing in Europe) is intended to prepare for the creation of a persistent pan-European HPC service, based on an infrastructure of around 4–5 Petaflop-scale supercomputers. EPCC has a leading role in ensuring that we understand how the major applications codes used across Europe can exploit these large systems.

Projects: What We Do

Check out our portfolio of projects and see what keeps our clients coming back for more

View our research papers

A full list of EPCC's research papers and other outputs can be found via the University of Edinburgh's Research Explorer

Upcoming courses and events

We also publish information about forthcoming events on Twitter and in our News feed

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