Data research

Innovative Learning Week: doing a Kaggle Competition

Author: Marc Sabate
Posted: 3 Mar 2016 | 15:31

The week of the 15-19 February an Innovative Learning Week event was held at the University of Edinburgh, where students and staff are invited to collaborate and explore their teaching and learning experience respectively in a new and creative way.

Big data, big compute

Author: Rob Baxter
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.

HPC's role in Data Science

Author: Adam Carter
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.

Big Data: What's wrong with HPC?

Author: Adrian Jackson
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. 

Software for the Future

Author: Adrian Jackson
Posted: 7 Jan 2015 | 10:18

Reconstructed neuronal connections in the brain Credit: Thomas Schultz - CC BY-SABig-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 care

Author: 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.

Big Data training session: EPCC & EUDAT at ISC Big Data

Author: Adam Carter
Posted: 9 Sep 2014 | 09:53
ISC is Europe’s biggest supercomputing conference, and EPCC has been represented at the event for a number of years now. More recently, as the interest in Big Data has grown, ISC has launched a new conference - ISC Big Data - which is specifically focussed on this new field.

Research data infrastructure: where next?

Author: Rob Baxter
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? 

SPRINT v1.0.6 released! OpenMPI and R V3 compatible

Author: Terry Sloan
Posted: 30 Jun 2014 | 13:30
 
EPCC and the Division of Pathway Medicine at the University of Edinburgh have released version 1.0.6 of the SPRINT R software package. This is compatible with R Version 3 and now supports OpenMPI as well as MPICH.

Causing a Storm in MPI: easier data processing for scientists

Author: Amy Krause
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.

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