Printer Friendly

United Kingdom : University of Michigan Partners with Cavium on Big Data Computing Platform for U-M Researchers.

Cavium, Inc, a leading provider of semiconductor products that enable secure and intelligent processing for enterprise, data center, wired and wireless networking and the University of Michigan today announced a new partnership that will position U-M as a leader in data-intensive scientific research by creating a powerful Big Data computing cluster using dual socket servers powered by Caviums ThunderX ARMv8-A workload optimized processors.

The ThunderX product family is Caviums 64-bit ARMv8-A server processor for next generation Data Center and Cloud applications, and features high performance custom cores, single and dual socket configurations, high memory bandwidth and large memory capacity. The product family also includes integrated hardware accelerators, integrated feature rich high bandwidth network and storage IO, fully virtualized core and IO, and scalable high bandwidth, low latency Ethernet fabric, which affords ThunderX best-in-class performance per dollar and watt. They are fully compliant with ARMv8-A architecture specifications as well as ARMs SBSA and SBBR standards, and widely supported by industry leading OS, Hypervisor and Software tool and application vendors.

The $3.5 million ThunderX computing cluster will enable U-M researchers to, for example, process massive amounts of data generated by remote sensors in distributed manufacturing environments, or by test fleets of automated and connected vehicles.

U-M and Cavium chose to run the cluster on Hortonworks Data Platform (HDP) which is based on open source Apache Hadoop. The ThunderX cluster will deliver high performance compute services for the Hadoop analytics and ultimately a total of 3 petabytes of storage space.

"U-M scientists are conducting groundbreaking research in Big Data already, in areas like connected and automated transportation, learning analytics, precision medicine and social science, said Eric Michielssen, Associate Vice President for Advanced Research Computing (ARC). "This partnership with Cavium will accelerate the pace of data-driven research and opening up new avenues of inquiry."

I know from experience that U-M researchers are capable of amazing discoveries, said Syed Ali, MSEE 81, founder and CEO of Cavium. Cavium is honored to help break new ground in Big Data research at one of the top universities in the world.

Hortonworks is excited to be a part of forward leading research at University of Michigan exploring low-powered, high performance computing, said Nadeem Asghar, Vice President and Global Head Technical Alliances at Hortonworks. We see this as a great opportunity to further expand the platform and segment enablement for Hortonworks and the ARM community.

Alec Gallimore, Dean of the U-M College of Engineering, said the Cavium partnership is a milestone in the development of the college and the university. It is clear that the ability to rapidly gain insights into vast amounts of data is key to the next wave of engineering and science breakthroughs, he said. Without a doubt, the Cavium platform will allow our faculty and researchers to harness the power of Big Data, both in the classroom and in their research.

[c] 2017 Al Bawaba (Albawaba.com) Provided by SyndiGate Media Inc. ( Syndigate.info ).

COPYRIGHT 2017 SyndiGate Media Inc.
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2017 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Publication:Mena Report
Date:Nov 9, 2017
Words:490
Previous Article:United States : Senators Call on Doj and Hhs to Reverse Course and Continue to Prioritize Lgbtq Youth in Key Programs.
Next Article:United States : A New Grow Delaware Fund is Announced to Mirror the Success of the Grow Wilmington Fund in Helping Small Businesses Succeed.
Topics:

Terms of use | Privacy policy | Copyright © 2019 Farlex, Inc. | Feedback | For webmasters