Cray has announced the Department of Defense (DoD) High Performance Computing Modernization Program (HPCMP) has awarded the Company with a $26 million supercomputer contract for a Cray XC40 supercomputer and three Cray Sonexion storage systems.
‘Moore's Law may be dead, but Mucci’s law is going strong’ says the creator of a new performance optimisation tool
Robert Roe investigates the motivation behind the architectural changes to Europes fastest supercomputer, Piz Daint, housed at the Swiss National Computing Centre
Robert Roe discusses the merits of the latest storage technologies, including a push by storage providers to develop end-to-end platforms featuring intelligent data management systems
Is the debate on open-source vs. proprietary software for scientific computing just irrelevant ideology? Andrew Jones investigates
After a shaky start, interest in migrating HPC to the cloud is growing rapidly. Tom Wilkie reports
Andrew Jones looks ahead at what 2016 has in store for HPC and finds people, not technology, to be the most important issue
Robert Roe finds that upgrading legacy HPC systems is a complicated business, and that some obvious solutions may not be the best options
Building a Smart Laboratory 2018 highlights the importance of adopting smart laboratory technology, as well as pointing out the challenges and pitfalls of the process
Informatics experts share their experiences on the implementing new technologies and manging change in the modern laboratory
This chapter will consider the different classes of instruments and computerised instrument systems to be found in laboratories and the role they play in computerised experiments and sample processing – and the steady progress towards all-electronic laboratories.
This chapter considers how the smart laboratory contributes to the requirements of a knowledge eco-system, and the practical consequences of joined-up science. Knowledge management describes the processes that bring people and information together to address the acquisition, processing, storage, use, and re-use of knowledge to develop understanding and to create value
This chapter takes the theme of knowledge management beyond document handling into the analysis and mining of data. Technology by itself is not enough – laboratory staff need to understand the output from the data analysis tools – and so data analytics must be considered holistically, starting with the design of the experiment