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youtube_video_url amazon_s3_presentation_url amazon_s3_video_url categories description image session_attendee_num session_id session_room session_slot session_speakers session_track tag tags title
san19
The University of Michigan(U-M), in partnership with Marvell, has built a Data Analytics cluster with ThunderX processors based on the Hadoop and Spark family of tools. We present information on the deployment and use of the cluster, which uses software packaged by the Linaro Big Data teams. We also present feedback to the Big Data on ARM community and future plans for development for Big Data on ARM at U-M as well.
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120
SAN19-400K2
Pacific Room (Keynote)
end_time start_time
2019-09-26 10:55:00
2019-09-26 10:30:00
speaker_bio speaker_company speaker_image speaker_location speaker_name speaker_position speaker_url speaker_username
Jeremy Hallum is the manager responsible for Storage, Private Cloud, and Data Science Operations teams at ARC-TS at the University of Michigan. His teams are responsible for the deployment of the storage systems, Yottabyte Research Cloud, and Marvell data science Cluster. <br /> <br /> Jeremy earned his undergraduate degree from Minnesota State University in Astronomy and Mathematics in 1996, and a Masters degree from Boston University in 1999 in Astronomy. His interests lie in developing usability for advanced computing resources, user training and secure use of advanced computing resources. <br />
University of Michigan
/assets/images/speakers/san19/jeremy-hallum.jpg
Jeremy Hallum
Research Computing Manager
jhallum
Keynote
session
Big Data
SAN19-400K2 - Keynote: Big Data on ARM in practice with ThunderX
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