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high-performance computing

here and now. Tom Coull, president and CEO of Penguin Computing, pointed out that his company had demonstrated just such a process at the most recent supercomputing conference, SC14 in New Orleans in November last year. In the opinion of Steve Parker, VP of

professional graphics at Nvidia, the demand for remote visualisation can only increase: ‘I’m confident that data sets will continue to grow faster than bandwidth on the internet. Te problem is just going to get worse and worse.’ Intel too believes that this is the way the wind

is blowing. According to Jim Jeffers, principal engineer and manager, parallel visualisation engineering at Intel: ‘As the datasets get larger, visualisation is taking on more and more of a role in helping the analysis and providing the insight with such large datasets. Tat large data trend is there, which raises the question “how do you deal with that data when it is harder and harder to move it?” Te compute is increasing faster than the ability to move it around.’ But Jeffers sees a second development, a demand coming from the user-community of scientists

and engineers: ‘Te other trend is that the nuances in the data, and the way to extract visual information from the data, is requiring higher fidelity.’ Andrea Rodolico, CTO at Italian soſtware

company Nice, believes the ramifications of all this will be far-reaching. ‘Today, remote visualisation is like a visionary need, a new concept that is now very popular where you have huge data sets,’ he said. ‘But if you look five



years into the future, the real question will be “Why don’t I use this kind of model for pretty much all my technical workloads?” Data will keep growing; the ability to move it will be more and more complex; collaboration will be

important; and security will be a very important aspect, so having everything in a well-defined and well controlled environment – that could be a data centre or it could be the public cloud – will make this very exciting. Te vision in five years is really “Why would I go anywhere else than remote visualisation for my technical activities?”’.

Don’t move the data Te areas where Penguin has seen fastest uptake, Coull said, are in engineering and manufacturing – aerospace, automobile, and heavy equipment. If they have an application where the solver needs a cluster, he said: ‘Tey use their solver on our cloud, or run the modeller up on the cloud using the remote visualisation capability and so the data is right there; the application is right there. Tey’re not having to move anything around, pay for any data transport, or things like that.’ Te same point was emphasised by Andrea

Rodolico: ‘It was almost 10 years ago that we figured out that accessing data doesn’t mean l




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