The automotive sector is undergoing a period of rapid and disruptive transformation from both a business and technical standpoint.
Features
01 January 2003
John Murphy profiles the Head of Numerical Relativity Group, Albert Einstein Institute
01 January 2003
Tomorrow's vehicles will benefit from better fuel cell technology, thanks to the use of computational fluid dynamics (CFD), says Lucy Farrington of CD adapco
01 January 2003
Unsolved problems can now be viewed in a new light, thanks to advances in digital image processing - and there are solutions available for scientific computing. By Ray Girvan
01 January 2003
Trevor De Silva and Geoff Parker, from the consultancy Scimcon, discuss the causes of the data explosion in the laboratory, and suggest ways to tame it
01 November 2002
The methods used in analysing patient drug trials and motor engine tests could be used to solve many problems in other industries, argues The Mathworks' Dr Tanya Morton
01 November 2002
Virtual instrumentation is changing the way scientists measure and automate the world. Gricha Raether of National Instruments assesses recent developments in this cutting edge field
01 November 2002
The paperless laboratory, and managing information for life sciences' researchers, are among the themes discernible during SCW's regular review of the LIMS world, Tom Wilkie writes
01 November 2002
John Murphy profiles Paul Messina, former director of the Center for Advanced Computing Research at CalTech
01 September 2002
Robert DeWitte, Marketing Director of ACD Labs, tells Tom Wilkie how Russian scientists' deep understanding of chemical structure grew into a global software business.
01 September 2002
John Murphy profiles the Professor of Computer Engineering and Informatics at the University of Patras
01 September 2002
The old Latin riddle 'Quis custiodet ipsos custiodes?' ('Who guards the guardians themselves?') is a good one for scientists and managers to ponder when they are considering the integrity of data in LIMS. Alex Crawford reports
01 September 2002
Tony Hey and Anne Trefethen outline the efforts being made to help the UK meet the challenges of computing across the Grid
Pages
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
