Fields of data
17 June 2014
Keeping track of agricultural data presents special problems for informatics systems, as Sophia Ktori finds out
Robert Roe interviews MathWorks Loren Dean, on the use of AI in modelling and simulation
June/July 2014
Why supercomputers are becoming cool machines
17 June 2014
Liquid cooling can take many forms but expertise from embedded systems can also point the way to a green future for HPC, as Tom Wilkie discovers
Exascale Challenges
17 June 2014
The current buzz in the world of high-performance
computing is exascale systems. The next major milestone
is HPC systems that will be capable of executing an exaflop
- a billion billion floating point operations per second,
writes John Barr
Paperless Lab Academy
17 June 2014
At the Paperless Lab Academy (PLA), which took place in
Amsterdam on 13 and 14 May, the importance of managing
change and the limits to data sharing were important
topics. Tom Wilkie reports
Latest issue
Every device needs to work seamlessly in its operating environment. But when that environment is a human body, things get complicated.
Christian Marcazzo, general manager at IDBS, highlights trends in life sciences research and development.
Data is a company’s biggest asset, yet for any organisation, keeping a handle on the potentially vast volumes and diversity of data that are generated can represent a considerable issue.
Rob Lalonde, Univa’s cloud VP general manager, considers the unique challenges posed by HPC
Deep learning has seen a huge rise in popularity over the last five years in both enterprise and scientific applications.
HPC users are increasingly turning to cloud technologies due to their flexibility and scalability, allowing them to quickly change the size of their workloads, adopt new technologies in a small testing environment and to help to increase the agility of a company working across multiple sites, or
