RFHPC141: Results from the ASC17 Student Cluster Competition

In this podcast, the Radio Free HPC team reviews the results from the ASC17 Student Cluster Competition finals in Wuxi, China. In the end, Tsinghua University won the overall competition, beating 20 teams from around the world.

“As the world’s largest supercomputing competition, ASC17 received applications from 230 universities around the world, 20 of which got through to the final round held this week at the National Supercomputing Center in Wuxi after the qualifying rounds. During the final round, the university student teams were required to independently design a supercomputing system under the precondition of a limited 3000W power consumption. They also had to operate and optimize standard international benchmark tests and a variety of cutting-edge scientific and engineering applications including AI-based transport prediction, genetic assembly, and material science. Moreover, they were required to complete high-resolution maritime simulation on the world’s fastest supercomputer, Sunway TaihuLight.

The grand champion, team Tsinghua University, completed deep parallel optimization of the high-resolution maritime data simulation mode MASNUM on TaihuLight, expanding the original program up to 10,000 cores and speeding up the program by 392 times. This helped the Tsinghua University team win the e Prize award. MASNUM was nominated in 2016 for the Gordon Bell Prize, the top international prize in the supercomputing applications field.

After that, we do our Catch of the Week:

  • Henry points us to the Google Docs security breach. They claim they have fixed the problem, but don’t open those shared docs!
  • Shahin likes a new story about AI-enhanced justice in the court systems where they look at setting bail and the risks associated with the defendant.
  • Dan was having trouble with slow internet and two-factor authentication, which sounds like a vicious circle.
  • Rich notes that Andrew Klein from Backblaze will present at MSST on what they’ve learned about hard drives over the years including failure rates by model, and the ability to predict drive failure before it happens.

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