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Cavium ThunderX Cluster to Crunch Big Data at University of Michigan

Today Cavium announced a new partnership that will position the University of Michigan as a leader in data-intensive scientific research by creating a powerful Big Data computing cluster using dual socket servers powered by Cavium’s ThunderX ARMv8-A workload optimized processors. The cluster consists of 40 servers each containing 96 ARMv8 cores and 512 GB of RAM per server. 

Yottabyte Powers Data-Intensive Research at University of Michigan

“With the Yottabyte Research Cloud, researchers will be able to ask more questions, faster, of the ever-expanding and massive sets of data collected for their work,” said Yottabyte CEO Paul Hodges. “We are very pleased to be a part of the diverse and challenging research environment at U-M. This partnership is a great opportunity to develop and refine computing tools that will increase the productivity of U-M’s world class researchers.”

Simulating the Earliest Generations of Galaxies with Enzo and Blue Waters

“Galaxies are complex—many physical processes operate simultaneously, and over a huge range of scales in space and time. As a result, accurately modeling the formation and evolution of galaxies over the lifetime of the universe presents tremendous technical challenges. In this talk I will describe some of the important unanswered questions regarding galaxy formation, discuss in general terms how we simulate the formation of galaxies on a computer, and present simulations (and accompanying published results) that the Enzo collaboration has recently done on the Blue Waters supercomputer. In particular, I will focus on the transition from metal-free to metal-enriched star formation in the universe, as well as the luminosity function of the earliest generations of galaxies and how we might observe it with the upcoming James Webb Space Telescope.”