Cavium ThunderX delivers 10x Big Data performance increase
Recently, ARC-TS and the School of Information used the new Big Data platform Cavium ThunderX to reduce run times of the school’s analytics pipeline by a factor of 10, taking overall run time from almost a week to only a few hours. Cavium ThunderX is a free-to-use Big Data platform for researchers at U-M. Currently ThunderX supports mapreduce, Spark,… Read More »