Researchers Using Tesla GPUs to Reduce Aircraft Noise

Taking advantage of the 27 petaflop Titan Supercomputer at Oak Ridge National Laboratory, researchers from Imperial College London’s Department of Aeronautics are attempting to reduce aircraft noise by visualizing how air is forced through engines when planes are in flight.

Noise pollution from aircraft is a global policy and health issue. In fact, the scientists from Imperial have previously found that risks of hospital admissions and deaths from stroke and heart disease were around 10 to 20 percent higher in areas with highest levels of aircraft noise, compared with the areas with least noise.

The researchers are using GPU-accelerated PyFR simulations to study detailed profiles of air flow behind jet engines to better understand their acoustic properties.

Using the Tesla-accelerated supercomputer, the team has developed computer models that enable them to generate images of the vortical structures created by the serrated jet nozzles in unprecedented detail. The models are helping the researchers and their industrial collaborators interpret and analyze the results of very large aircraft engine simulations. Their work has the potential to accelerate new discoveries in the field, ultimately leading to the next generation of even quieter aircraft engines.

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About Brad Nemire

Brad Nemire
Brad Nemire is on the Developer Marketing team and loves reading about all of the fascinating research being done by developers using NVIDIA GPUs. Reach out to Brad on Twitter @BradNemire and let him know how you’re using GPUs to accelerate your research. Brad graduated from San Diego State University and currently resides in San Jose, CA. Follow @BradNemire on Twitter