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Tuesday, November 10, 2015

Nomadic Computing Faster

In the CACM:  Nomadic computing speeds up Big Data Analyses.  " ... University of Texas at Austin professor Inderjit Dhillon, a 2014 ACM Fellow, concentrates on expediting big data analytics by using machine learning to reduce data to its most insightful parameters. His latest research, supported by the U.S. National Science Foundation (NSF), is a non-locking, stochastic multi-machine algorithm for asynchronous and decentralized matrix completion (NOMAD). ... Dhillon says the algorithm can extract meaningful information from data much faster than other current cutting-edge instruments, as well as investigate data sets that break other leading software. .... " 

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