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: 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: 10 Nov 2016 | 11:24
Supercomputing, the biggest conference in our calendar, is on next week and one of the activities I am doing is presenting a paper at the workshop on Python for High-Performance and Scientific Computing.
Posted: 24 Oct 2016 | 12:25
It's always a bit of an embarrassment when talking about your code tests. I think most developers know that they don’t have enough tests or that their tests are not good enough.
There is never enough time to either write or to run tests that fully cover all possibilities so, like all types of programming, testing becomes a compromise where you try to make the best use of the limited resources available for testing.
Posted: 11 Oct 2016 | 11:32
Posted: 8 Oct 2016 | 11:46
Posted: 27 Sep 2016 | 16:47
Developing for the real world
As part of a recent ARCHER eCSE project I developed a new parallelisation strategy for a computational simulation application to enable it to scale efficiently to larger process counts. We managed to significantly reduce the parallel overheads, so the code was accepted into the main repository for users to exploit.
Posted: 7 Sep 2016 | 10:54
The Software Sustainability Institute's Fellowship programme funds researchers in exchange for their expertise and advice.
Find out more about the 2017 programme with the Launch Webinar this Friday 9 Sep at 3pm!
Posted: 2 Sep 2016 | 11:08
These students from around Europe have spent the last 7 weeks with us at EPCC immersed in HPC, and each working on a specific project in the field. This is a great because not only do they gain experience and interest in HPC but we also get a useful, tangible, outcome from these projects.
Posted: 29 Aug 2016 | 10:35
With my Software Sustainability Institute hat on, I recently participated in a back-to-back Data Carpentry and Software Carpentry course sponsored by the University's Research Data Service here at the University of Edinburgh. The courses were held in the main University library in a gorgeous room with a glass wall, providing a rather distracting view of the Meadows parkland.