Posted: 1 Feb 2017 | 16:17
We are only two months away from 2017’s Big Bang Fair. We’ll be attending again this year, planning to wow kids of all ages with a hands-on look into the world of supercomputing.
The Big Bang Fair is a four-day intensive science festival held at the NEC in Birmingham. Now in its ninth year, it invites schoolchildren and families from all over the UK to attend and learn more about science and engineering. It particularly focuses on children aged 11-14, and hopes to use its wide variety of experiences, along with extensive careers events, to encourage children to consider careers in STEM fields.
Posted: 27 Jan 2017 | 14:30
For those of you not acquainted with OpenFOAM, it's a large open source CFD package used by a wide variety of scientists and companies to investigate a whole range of scientific and engineering problems.
We support it on ARCHER and have a number of different versions available and in use on the machine. As part of our IPCC work we are interested in looking at the performance of OpenFOAM on the latest Xeon Phi processor, Knights Landing (KNL).
Posted: 17 Jan 2017 | 12:30
PRACE’s Summer of HPC programme has been running for quite a few years now. Each year around twenty students from universities across Europe travel to different countries to spend eight weeks at an HPC centre, working on a project with a mentor.
Posted: 15 Dec 2016 | 13:05
In a previous blog post I talked about ePython, the very lightweight version of Python that I have developed for the Epiphany co-processor. This co-processor is combined with a dual core ARM CPU on the Parallella single board computer, and this week an updated OS image was released for the machine which now includes ePython pre-installed.
Posted: 7 Dec 2016 | 13:37
SHAPE is a pan-European programme that promotes high performance computing adoption by SMEs (small to medium sized enterprises), and is supported as part of the PRACE initiative. So far SHAPE has helped 29 companies benefit from HPC.
Posted: 29 Nov 2016 | 10:07
TensorFlow is an incredibly powerful new framework for deep learning. The “MNIST For ML Beginners” and “Deep MNIST for Experts” TensorFlow tutorials give an excellent introduction to the framework. This article acts as a follow-on tutorial which addresses the following issues:
- The above tutorials use the MNIST dataset of hand written numbers, which pre-exists in TensorFlow TFRecord format and is loaded automatically. This can be a bit mysterious if you have no experience of data format manipulation in TensorFlow.
- Since the MNIST dataset is fixed, there is little scope for experimentation through adjusting the images and network to get a feel for how to deal with particular aspects of real data.
Posted: 21 Nov 2016 | 09:59
Connor Walsh is a school pupil who joined us on a work experience placement last week. Here's his report.
I have been "working" at the EPCC offices at Edinburgh University under Eilidh Troup on a project using Python and Pygame to simulate how much an object would sink in water when you change the mass and the volume of the object.
Posted: 17 Nov 2016 | 10:03
Fortissimo is a collaborative EC-funded project that enables European SMEs to be more competitive globally through the use of simulation services running on a high performance computing (HPC) cloud infrastructure.
Posted: 16 Nov 2016 | 11:41
It has been around two years since a number of us at EPCC became science, technology, engineering and mathematics (STEM) ambassadors and, as part of our outreach activities, we have maintained our membership of STEMNET (you have to do at least one STEM-related event per year).