According to the legendary physicist Richard Feynman, turbulence is the last great unsolved problem of classical physics. Even so, computers allow us to study it in great detail, but you must apply such tools with great care. Paul Schreier tries to bring some order to the world of software
intended for these studies of chaos
Greg Blackman looks at some of the trends taking place in the pharmaceutical industry and how data management software is being used
Felix Grant looks at the application of data analysis software to social networks
GPUs are established in both the visualisation and the processing of seismic data. Stephen Mounsey looks at how the technology is used, and at alternative hardware types available to geophysical analysts in the oil and gas industry
The transition from applications written for sequential execution to those that can take advantage of multicore architectures has taken on enormous importance and brought with it some challenging problems. Paul Schreier examines some of the tools that are available to help programmers parallelise their code
If you believe the hype, then 'The Cloud' will be the next big thing across all strata of computing. Stephen Mounsey asks what it can bring to the HPC party
Dr Oz Parchment, IT infrastructure services manager, University of Southampton, describes his role and discusses the university's latest supercomputer, Iridis 3
Jill Matzke, senior manager of advanced platforms at SGI, says changing needs of scientists mean new methods of accessing data and memory are needed
Robert Roe interviews MathWorks Loren Dean, on the use of AI in modelling and simulation
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
