Today Clemson University Monday announced that it has been named a CUDA Teaching Center. As a CUDA Teaching Center, Clemson University joins 239 recognized institutions worldwide that have integrated parallel computing techniques into their mainstream computer programming curriculum.
Over the past two decades, there has been a shift in the way we do computing,” said Joshua Levine, an assistant professor in the School of Computing. “We’ve hit a wall with your standard computer. The CPU can only go so fast. GPUs can really take us to the next level.”
GPU accelerators enable increases in application performance by enabling a large number of calculations to be processed at the same time, or “in parallel.” A problem that might take a standard CPU-based computer days can be finished in minutes, or even seconds, with a GPU, Levine said.
As a CUDA Teaching Center, Clemson University will have access to Nvidia GPU hardware and parallel programming experts and resources, including educational webinars, an array of teaching materials, and access to the Nvidia CUDA Cloud Training Program.
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