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.
Posted: 3 Dec 2019 | 11:43
If you’ve lived in Edinburgh during August, you’ve witnessed a city transformed. Together, Edinburgh’s August festivals represent an annual event close to the size of the Olympic Games. It takes a gargantuan effort by everyone involved with running the city and they do a great job. Those of us who live in Edinburgh during Festival time know that, when dealing with so many people, things don’t always work as well as we’d like. Our commutes may be longer. We might have to stand on the train or walk in the bus lane to bypass the crowds. Edinburgh’s festivals are the envy of the world but can make life more difficult for many of it citizens.
Posted: 22 Nov 2019 | 12:10
Developed by EPCC, the Edinburgh International Data Facility (EIDF) will facilitate new products, services, and research by bringing together regional, national and international datasets.
Posted: 12 Nov 2019 | 11:11
Here in EPCC we lead a work package of the VESTEC EU FET project which is working on the fusion of real-time data and HPC for urgent decision-making for disaster response. While HPC has a long history of simulating disasters, what’s missing to support emergency, urgent, decision-making is fast, real-time acquisition of data and the ability to guarantee time constraints.
Posted: 8 Nov 2019 | 15:27
The class of 2019 was the eighteenth cohort of EPCC MSc students and the first to be based at the Bayes Centre home. Our new surroundings have been immensely beneficial to the student experience, with the student desk space quite literally on the doorstep of staff offices and plenty of space to breakout for group study. Despite 2018/19 being our largest MSc intake in terms of entrants to that point, it was an incredibly cohesive group.
Posted: 30 Oct 2019 | 12:48
Blog post updated 8th November 2019 to add Figure 6 highlighting PMDK vs fsdax performance for a range of node counts.
Following on from the recent blog post on our initial performance experiences when using byte-addressable persistent memory (B-APM) in the form of Intel's Optane DCPMM memory modules for data storage and access within compute nodes, we have been exploring performance and programming such memory beyond simple filesystem functionality.
For our previous performance results we used what is known as a fsdax (Filesystem Direct Access) filesystem, which enables bypassing the operating system (O/S) page cache and associated extra memory copies for I/O operations. We were using an ext4 filesystem on fsdax, although ext2 and xfs filesystems are also supported.
Posted: 23 Oct 2019 | 10:43
Over the last three decades the collections of libraries, archives and museums have been transformed by large-scale digitisation. The volume and quality of available digitised text now makes searching and linking these data feasible, where previous attempts were restricted due to limited data availability, quality, and lack of shared infrastructures. One example of this is the extensive digital collection offered by the National Library of Scotland (NLS) (see Figure 1) , which can be accessed online and also downloaded for further digital humanities research.
Posted: 26 Sep 2019 | 13:36
The iCAIRD project is working to establish a world-class centre of excellence in the application of artificial intelligence to digital diagnostics. The intention is that iCAIRD will allow clinicians, health planners and industry to work together, enabling research-active clinicians to collaborate with innovative SMEs to better inform clinical questions, and ultimately to solve healthcare challenges more quickly and efficiently.
Posted: 16 Aug 2019 | 16:25
In our October 2018 blog post on Analysing humanities data using Cray Urika-GX, we described how we had been collaborating with Melissa Terras of the College of Arts, Humanities and Social Sciences (CAHSS) at The University of Edinburgh to explore historical newspapers and books using the Alan Turing Institute's deployment of a Cray Urika-GX system ("Urika"). In this blog post we describe additional work we have done, to look at the origins of the term "stranger danger", find reports on the Krakatoa volcanic eruption of 1883, and explore the concept of "female emigration".
Posted: 9 Jul 2019 | 13:51
Guest blogger Simon Chapple introduces the University of Edinburgh's IoT Research and Innovation Service.
Most people will have heard of the Internet of Things (IoT). It is a hot topic in technology, business and the mainstream news, projected as it is to underpin a future trillion-dollar market at least as large as, and by some estimations even greater than, the cloud-based computing services industry. We define IoT as a network of dedicated physical objects that contain embedded technology to sense and interact with the external environment, and that can connect and exchange data.