Research Computing News
UA researchers and students are able to use campus computing resources to advance their work. Meet a graduate student who was able to complete her research into population genetics without grants, an astronomer who has processing power immediately available to run computations on the physics of galaxy formation, and a neuroscientist processing big, complex data to investigate Alzheimer's.
A recent submission by PhD student, Ariella Gladstein, marked the one millionth job for Ocelote, the high performance computing system at UA's Research Data Center (RDC).
Artificial intelligence and machine learning researchers at UA have a new resource for high-speed computation. The Ocelote high performance computing system, located in the Computer Center's first floor Research Data Center, now has 46 new nodes, each with an Nvidia Tesla P100 GPU.
University of Arizona researchers are changing the world, and they are using computing resources to make their research possible.