Mr Adrian Jackson

I work in high performance computing, computing hardware, and computational simulation, including being involved with the last three national HPC services:

• HPCx
• HECToR
• ARCHER

My main areas of research and work are in parallel computing algorithms, parallel programming techniques, new computing hardware, and program/code optimisation. I also represent EPCC on the OpenACC technical and marketing committees, and I'm a full member of EPSRC peer review college. The current focus of my work are a number of research and implementation projects, including:

• Architect for DLT4NCM, a collaborative project investigating the application of distributed ledger technology to create networked carbon markets and support the Paris climate change agreement. This involves designing and prototyping semi-permissioned distributed ledger technology to enable the networking of multiple separate markets, each a distinct data domain with separate authority and autonomy. To enable carbon markets to innovate the distributed ledger technology also needs to scale and perform, not be a bottleneck to transactions and trading. Therefore, we are undertaking research to enable the design of a transparent and interoperable ledger technology that can scale to a large number of markets, participants, and transactions from the outset.
• Architect for the EU funded H2020 NEXTGenIO (Grant Agreement no. 671951) project, designing software and hardware solutions for HPC systems using new memory technologies. Focussing on non-volatile memory technologies and their application in computational simulation, data analytics, and machine learning algorithms.
• Working with industry to optimise and parallelise simulation applications, and develop data analytics pipelines.

In the past I've worked on things such as:

• EPCC Co-I for the EU funded H2020 DEEP-EST (Grant Agreement no. 754304) project, enabling efficient use of novel modular supercomputing architectures. This includes energy and power modelling for computational simulation, and porting and optimising data analytics applications to the computing environment.
• Lead (Co-I) for IPCC collaboration with Intel, funded to optimise and port codes to Intel processor hardware, including Xeon Phi and Xeon processors.
• Co-I for EPSRC software for the future, providing HPC expertise for advanced big data and compressive sensing algorithms.
• Project manager and technical lead for EPCC on the G8 funded Nu-FuSE fusion exascale project.
• Project manager and technical lead for EPCC on the EPSRC funded NAIS project.
• PI for the European FP7 EUFORIA project at Edinburgh and member of the project steering committee
• User support, code porting, and optimisation work for System Biologists and
  Evolutionary Biologists at the University of Edinburgh.
• Parallelisation and optimisation of a cardiac simulation package Beatbox, an EPSRC funded software development project
• Named researcher on EPSRC Plasma Physics HEC Consortia grant (EP/L000237/1).
• A number of dCSE and eCSE projects, including:

  • Performance of Magnetic Plasma Turbulence Modelling Code (GS2)
  • Parallel Efficiency of Multi-Block CFD Solver (COSA)
  • Improving the ease-of-use and portability of the COSA 3D solver for open rotor unsteady aerodynamics
  • Optimisation of the EPOCH laser-plasma simulation code
  • Optimising Field Solves in GS2 plasma physics simulation code
  • Parallel supermeshing for multimesh modelling
  • Optimisation of Large Eddy Simulation (LES) turbulence modelling within Fluidity

My papers and publications are listed in the Edinburgh Research Explorer.

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