Research Computing News
Lo Que Pasa recently published an article about UA research projects across disciplinary boundaries and efforts to expand data science education. Two new institutes have put the UA on track to become a data science powerhouse at the national level and leader in promoting data science literacy and transdisciplinary research.
UA researchers and students are able to use campus computing resources to advance their work.
When Ariella Gladstein submitted her genome simulation to Ocelote, the high performance computing system at UA's Research Data Center (RDC), she didn't think it was a big deal. But Gladstein, a PhD student in Ecology and Evolutionary Biology, marked an important milestone with her submission—it was the one millionth job for Ocelote.
Artificial intelligence and machine learning researchers at UA have a new resource for high-speed computation. The UA's new GPU (graphics processing unit) capabilities will also serve:
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