December 2019

Using FPGAs to model the atmosphere

Author: Nick Brown
Posted: 11 Dec 2019 | 15:54

The Met Office relies on some of the world’s most computationally intensive codes and works to very tight time constraints. It is important to explore and understand any technology that can potentially accelerate its codes, ultimately modelling the atmosphere and forecasting the weather more rapidly.

Field Programmable Gate Arrays (FPGAs) provide a large number of configurable logic blocks sitting within a sea of configurable interconnect. It has recently become easier for developers to convert their algorithms to configure these fundamental components and so execute their HPC codes in hardware rather than software. This has significant potential benefits for both performance and energy usage, but as FPGAs are so different from CPUs or GPUs, a key challenge is how we design our algorithms to leverage them.

PICTURES project: predicting disease with artificial intelligence

Author: Ally Hume
Posted: 10 Dec 2019 | 11:41

EPCC is part of a £4.4 million project to turn a database of millions of clinical images into a powerful research tool to help tackle health conditions including lung cancer and dementia.

Each year millions of clinical images such as X-rays, CT, MRI, ultrasound, nuclear medicine, and retinal images are generated by the NHS in Scotland and stored in the national imaging database. In addition to containing important clinical information, these images also potentially contain a great deal of information about the health of the individual which is not currently made use of in health care.

EPCC’s ARM system: comparing the performance of MPI implementations

Author: Nick Brown
Posted: 9 Dec 2019 | 12:48

MVAPICH is a high performance implementation of MPI. It is specialised for InfiniBand, Omni-Path, Ethernet/iWARP, and RoCE communication technologies, but people generally use the default module loaded on their system. This is important because, as HPC programmers, we often optimise our codes but overlook the potential performance gains of better choice of MPI implementation.

A data-driven approach to public health

Author: Ally Hume
Posted: 6 Dec 2019 | 14:28

EPCC and other partners at the University of Edinburgh have commenced work on a new programme to develop DataLoch, a data repository for all local, regional and national health and social care data for residents of the Edinburgh & South East Scotland region. DataLoch and the associated Data Driven Innovation team will drive research and innovation, improve patient care, and reduce health inequalities across the region.

Reducing uncertainty in geological modelling

Author: Anna Roubickova
Posted: 5 Dec 2019 | 11:57

Cognitive Geology Ltd is an independent technology company based in Edinburgh, UK. It delivers innovative geological modelling software to the oil and gas industry, with the goal of improving efficiency and reducing uncertainty in geological modelling workflows and the business decisions which are based on them. EPCC has worked with the company to investigate ways to reduce large ensembles of geological models while maintaining the range of plausible scenarios described by the set.

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