The automotive sector is undergoing a period of rapid and disruptive transformation from both a business and technical standpoint.
Features
14 June 2019
Simulation and modelling increasingly expedite widespread change across the automotive industry, writes Gemma Church
14 June 2019
Cloud-based informatics software is growing fast thanks to highly flexible and customisable deployment methods, writes Sophia Ktori
14 June 2019
John Harman, senior product manager, Thermo Fisher Scientific explains how implementing a cloud informatics platform can help scientists make better use of pharmaceutical data
14 June 2019
As software has allowed scientists to focus on science, SaaS technologies in the cloud free up IT teams to focus on strategic priorities, writes Brady Haggstrom
14 June 2019
With data rates increasing and more complex challenges arising in life sciences, Robert Roe speaks with Panasas’ Jim Donovan and Dale Brantly about the benefits of using HPC for these workloads
14 June 2019
As HPC systems get larger and more complex, companies are developing services and tools to help users manage their resources effectively, writes Robert Roe
14 June 2019
FPGAs provide an early Insight into possibile architectural specialisation options for HPC and machine learning, writes Robert Roe
14 June 2019
Ivo Sbalzarini discusses how researchers are developing computational methods and software systems to understand biological processes on an algorithmic basis
14 June 2019
Robert Roe interviews John Shalf on the development of digital computing in the post Moore’s law era
14 May 2019
Robert Roe looks at storage technologies being developed to suit both AI and HPC workloads
14 May 2019
Robert Roe looks at advances in exascale computing and the impact of AI on HPC development
01 April 2019
Gemma Church investigates modelling and simulation tools required for accurate weather prediction
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
