The rise of the machines
3 September 2008
Felix Grant on the development of robotics via maths and stats packages
The automotive sector is undergoing a period of rapid and disruptive transformation from both a business and technical standpoint.
August/September 2008
Turbocharging CFD
3 September 2008
Paul Schreier examines how CFD software suppliers are customising their products to meet the needs of specific industries - in this case, for turbomachinery engineers
A universe of data
3 September 2008
Paul Schreier visits CERN to learn about the computing resources needed for the world's largest ever scientific experiment
Stuck in the middle
3 September 2008
Gemma Church assesses the HPC landscape in central and eastern Europe
European models promote fidelity
3 September 2008
Laurent Bernardin, chief scientist and vice president of R&D, Maplesoft
Pharma chameleons
3 September 2008
Greg Blackman on the versatility of LIMS, ELNs and other data management solutions in the pharmaceutical industry
A visualisation visionary
3 September 2008
Raghu Machiraju, Associate Professor of Computer Science and Engineering, Ohio State University
Latest issue
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
