Simulation and modelling increasingly expedite widespread change across the automotive industry, writes Gemma Church
Cloud-based informatics software is growing fast thanks to highly flexible and customisable deployment methods, writes Sophia Ktori
John Harman, senior product manager, Thermo Fisher Scientific explains how implementing a cloud informatics platform can help scientists make better use of pharmaceutical data
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
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
As HPC systems get larger and more complex, companies are developing services and tools to help users manage their resources effectively, writes Robert Roe
FPGAs provide an early Insight into possibile architectural specialisation options for HPC and machine learning, writes Robert Roe
Ivo Sbalzarini discusses how researchers are developing computational methods and software systems to understand biological processes on an algorithmic basis
Robert Roe interviews John Shalf on the development of digital computing in the post Moore’s law era
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
Architectural specialisation is one option to continue to improve performance beyond the limits imposed by the slow down in Moore’s Law.
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.
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
