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Cloud based supercomputers – on demand

Parallel Works, a spinoff from the University of Chicago, has developed a cloud based platform that gives SMEs access to supercomputers on-demand. Using technology developed at Argonne National Laboratory and the University of Chicago, Parallel Works aims at democratizing really big computers, which up to now have been typically limited to big corporations due to cost, complexity and resource constraints. Parallel Works customers can run advanced simulations on large-scale computing resources without specialized skills in parallel programming and computer science.

Parallel Works CEO Mike Wilde

Parallel Works CEO Mike Wilde

High-performance computing drives innovation and efficiency in the fast-growing industries that are rapidly transforming our lives-smart cities, Internet of Things, self-driving cars, advanced materials, environmental sustainability and personalized medicine. Our belief is that big computing will be the next wave after big data,” said Parallel Works CEO Mike Wilde. “Most engineering and scientific investigations require a tremendous amount of computing power. We’re enabling those studies for companies that previously could not afford it, and making it much more productive for those large companies that are already deeply dependent on large-scale computation.”
The Parallel Works platform offers scalable computing-as-a-service, adjusting computing power based on demand. A large energy simulation that once took 20 days can now finish in less than an hour, by using 5,000 processing units working in parallel. Parallel Works is built on the Swift parallel scripting system, which enables scientists and researchers to more easily deploy large and complex simulation studies on supercomputers.

Author: Tim Cole
Image credit: Parallel Works


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