TACC Speeds Big Data Analytics with Nomadic Computing

Researchers at TACC have developed a new tool to analyze bigger datasets using supercomputers and machine learning algorithms. Called NOMAD, the tool can pull insights from data much faster than other current state-of-the-art tools. It is also able to explore datasets, including some of the largest available, that break other leading software. Nowadays, there is an abundance of massive networks,” said Inderjit Dhillon, a professor of computer science at The University of Texas at Austin. “These networks may be explicit or implicit, and we want to use predictive analytics on these networks to see what they can tell us.” Inderjit S. Dhillon Dhillon is among those who have realized it’s possible to tame highly complex data (or “data with high dimensionality,” in the lingo of the field) by using machine learning to…


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