Posted: 17 Dec 2015 | 10:46
Gathering data for their own sake is pointless without the analysis techniques and computing power to process them. But what techniques, and what kind of computing power? The differing nature of data-driven analysis in different fields and areas of application demands a variety of computational approaches.
Through our current activities in big data at EPCC, we’re aiming to understand how big data and big compute can be brought together to create, well, big value.
Posted: 12 Sep 2015 | 10:01
I was among those presenting at EPCC's recent Big Data seminars at Edinburgh BioQuarter and BioDundee. Both events provided a good opportunity for me to talk to people about their Big Data problems and their views on what Big Data means to them.
Posted: 3 Sep 2015 | 17:55
Big Data vs HPC
Whilst I was writing my talk for last week's How to Make Big Data work for your business seminar at Edinburgh BioQuarter, it occurred to me that the way computational simulation codes have evolved over the last 40 years has really been a response to big data issues.
Posted: 7 Jan 2015 | 10:18
Big-Data compressive sensing: fast, parallelised and distributed algorithms
EPCC is excited to be part of a new project, funded through EPSRC's Software for the Future programme, to develop and exploit compressive-sensing algorithms for large-scale data problems.
University-led €428m bid could boost Scotland’s growing reputation for innovation in health and careAuthor: Mark Parsons
Posted: 25 Nov 2014 | 16:13
The University of Edinburgh is leading an international bid to secure European funding to support the establishment of a European Institute of Innovation & Technology (EIT) “Knowledge and Innovation Community” (KIC) focused on healthy living and active ageing.
Funded by the EIT through Horizon 2020 (The EU Framework Programme for Research and Innovation), LifeKIC, as the Scotland-led KIC is called, will support the EIT and EU’s goal of delivering the triple win of: increased healthy life years; economic growth and increased competitiveness; and sustainable health and care.
Posted: 9 Sep 2014 | 09:53
Posted: 30 Jul 2014 | 16:11
The rise of data-driven science, the increasing digitisation of the research process, has spawned its own jargon and acronyms. “Research data infrastructure” is one such term, but what does it mean?
Posted: 30 Jun 2014 | 13:30
Posted: 17 Jun 2014 | 15:00
After several years of working with users who are not computer scientists (seismologists and geoscientists), we have realised two main points: these communities usually have problems that should be addressed with parallel computing, but they don't often have the skills and training to do so. We set out to build a programming library, Dispel4Py, that both enables users to easily write a description of a data-processing application and takes care of running that application in different parallel environments.
Posted: 24 Feb 2014 | 12:10