![]() The experiment had three objectives: producing data that would actually be used for scientific purposes learning the extent to which organizations could burst at very large scales and learning the global capacity of GPUs in the cloud. This became the basis for Wuerthwein’s grand experiment: using IceCube’s science goals as a basis for attaining the largest scale ever achieved in cloud-based simulations on GPUs. So where does computing enter the process? “They need to understand the ice properties,” Wuerthwein said, “and that’s done with simulation.” The ice-based sensors detect the signatures of neutrinos passing by them, collecting data from the shockwaves that neutrinos send rippling throughout the ancient ice sheets. “The big picture is to study the most violent events in the universe … The idea is that if you have multiple types of detection mechanisms, you can unravel what exactly is going on to make these violent events.” “For the first time in human history, we have instruments on the ground that can measure neutrinos, can measure gravitational waves, and can measure different frequencies of light in order to look at celestial phenomena,” explained Frank Wuerthwein, lead for high-throughput computing at the San Diego Supercomputer Center (SDSC), a professor of physics at the University of California San Diego and executive director of the Open Science Grid, in an interview with HPCwire. ![]() The weekend before the biggest HPC conference of the year, SC19 in Denver, researchers at IceCube Science leveraged around 51,000 cloud-based GPUs to help understand the data collected by IceCube’s massive sensor array. ![]() The sensors are part of IceCube, an Antarctic observatory dedicated to detecting and analyzing neutrinos – quiet, mysterious particles spawned by nuclear reactions that almost never interact with matter. Since 1987 - Covering the Fastest Computers in the World and the People Who Run ThemĪt the dead center of the South Pole, thousands of sensors spanning a cubic kilometer are buried thousands of meters beneath the ice. ![]()
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