Posted: 27 Jul 2018 | 15:25
We are working on a machine-learning project with Rock Solid Images (RSI), a geoscience consulting firm that provides borehole characterisation with the goal of reducing exploration drilling risk for oil and gas companies.
RSI is one of the main players in the interpretation of seismic data with well log data and it has built its business on using advanced rock physics methods combined with sophisticated geologic models to deliver highly reliable predictions of where oil and gas might be found.
Posted: 25 Jan 2018 | 14:36
Many HPC applications contain some sort of iterative algorithm and so do the same steps repeatedly, over and over again, with the data gradually converging to a stable solution. There are examples of this archetype in structural engineering, fluid flow, and all manner of other physical simulation codes.
Posted: 13 Jul 2017 | 23:49
A team of students from EPCC's MSc programmes took part in this year's Student Cluster Competition at the International Supercomputing Conference (ISC) in Germany. The competition requires teams to design and configure a cluster on which they optimise and run benchmarks and applications within a power budget of 3000 watts.
Here Team EPCC and its coach Emmanouil Farsarakis tell us about their hard work and its rewards.
Posted: 4 Apr 2017 | 14:51
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: 16 Sep 2016 | 11:34
Recently EPCC's Alan Gray and I attended a workshop at Donington Park held by Roborace. For those who've not heard of Roborace, it's a project to build and race autonomous cars, along the lines of Formula 1 but without any drivers or human control of the cars. Actually, it's more like Formula E but without drivers, as the plan is for the cars to be electric.