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
The automotive sector is undergoing a period of rapid and disruptive transformation from both a business and technical standpoint.
Estimates suggest that the global laboratory informatics market, valued at $2.6 billion in 2019, will witness CAGR of 7.5 per cent over the next five years, reaching $3.8 billion in 2024[1].
Modern drug discovery and development workflows incorporate a growing range of automated, high-throughput technologies that can generate data on a truly impressive scale.
‘This will be the life sciences century … because of personalised medicine, information technology, and knowledge on biological systems,’ said Fred Hassan, a partner of Warburg Pincus and former CEO of Schering-Plough.
With data rates increasing and more complex challenges arising in life sciences, Panasas’ Jim Donovan and Dale Brantly discuss the benefits of using HPC for these workloads
As the complexity of both HPC hardware and the challenges that scientists are trying to solve using HPC systems increases, ensuring a system is utilised efficiently is necessary to deliver a computing service with value for money and a high research output.
Architectural specialisation is one option to continue to improve performance beyond the limits imposed by the slow down in Moore’s Law.
As not only the HPC industry but the larger computing ecosystem tries to overcome the slowdown and eventual end of transistor scaling described by Moore’s Law, scientists and researchers are implementing programmes that will define the technologies and new materials needed to supplement, or repla
