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Six In a Row: GPU-Powered System Again Wins Student Supercomputing Competition



For the sixth consecutive time, a device powered by way of GPUs captured the highest-spot general within the Supercomputing convention’s Scholar Cluster competitors.

With longhorn hand-indicators and smiles flashing, an eleven-particular person group from the College of Texas, at Austin, claimed the award prior to a crowd of greater than 500 on the finish of three-day exhibit in Denver.

It’s no accident that a GPU-primarily based device received the competitors. Seven of the eight groups from around the globe that completed the grueling forty eight-hour, nonstop competitors utilized Tesla K20x accelerators donated through NVIDIA.

That’s an impressive testomony to the grip that parallel processing has on the subsequent era of pc scientists.

Shown on the floor of the Denver Supercomputing 2013 show, The University of Texas, at Austin, team beat out seven others to win the Student Cluster competition.

Julian Michael, a junior on the team, said he and his undergrad classmates – all computer science majors with a computational biologist thrown in — had been preparing since March for the competition, putting in 10 hours a week and sleeping just four hours a night toward the end.

“We’re going to go back, get some sleep and get ready for next year’s competition,” he said.

There’s a definite minimalist slant to the competition. Contest rules require that the teams build a supercomputing cluster working with donated equipment and an austere power budget of 3,000 watts, enough to power a pair of microwave ovens.

Scoring takes into account how each system performs on a range of standard HPC applications – such as WRF, used for weather prediction, and GraphLab, a tool for big-data analysis – as well as on extensive  interviews.


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