The automotive sector is undergoing a period of rapid and disruptive transformation from both a business and technical standpoint.
Features
01 May 2004
Scientific Computing World appeared just as the World Wide Web was escaping from particle physics. Michael Kenward reflects on a decade of rapid progress
01 May 2004
Chris Randles praises XML as a basis for innovation and technical communication
01 May 2004
James Truchard believes that performance will improve, while costs and development time will decrease, making engineers more productive through the use of virtual instrumentation
01 May 2004
C. James Cooper looks forward to an exciting decade, as the universal language of mathematics underpins efforts to integrate knowledge from different domains
01 May 2004
Steve Maginn looks at the two ends of the chemistry software industry
01 May 2004
Guy Lefever sees seven new technologies, all related to scientific computing, transforming the face of medicine
01 May 2004
Robert Massie and Ramond D'Angelo believe that, as the physical limitations of processing, storing, and delivering information diminish, the possibilities of the digital research environment keep expanding
01 May 2004
Robert Pavlis believes there has never been a more exciting time in instrument interfacing
01 May 2004
Antony Williams believes that organisations need to recognise the value of organising themselves to integrate chemical structure and analytical information
01 May 2004
Computational science will go deeper and wider in the next 10 years. But Scott Kahn believes that the most profound changes will come through the integration of methods and domains
01 March 2004
John Murphy profiles the Director of the Institute of Quantum Computing at Waterloo University, Ontario
01 March 2004
Grid computing won't happen without glue to hold it together, as Michael Kenward finds when investigating middleware
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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
