From exceedingly captivating videos to cool giveaways, technical presentations punctuate the frenetic pace of activity in the SUSE booth each year at HPC’s main event. This year, in booth # 4427 at SC16 in Salt Lake City, “Food for your brain” features contributions from SUSE employees, customers and partners. Univa is delighted to be participating again this year, and will contribute three, different presentations during the exhibits component of the conference.
The abstract for the second of the three presentations is as follows:
Wednesday, November 16, 2016 at 12:30 pm MST, SUSE Booth # 4427
Scaling Machine Learning for SUSE Linux Containers, Servers, Clusters and Clouds
Ian Lumb, Solutions Architect, Univa Corporation
Armed with nothing more than an Apache Spark toting SUSE Linux laptop, you have all the trappings required to prototype the application of Machine Learning against your data-science needs. From programmability in Scala, Java or Python, to built-in support for Machine Learning via MLlib, Spark is an exceedingly effective enabler that allows you to rapidly produce results.
Of course, as soon as your prototyping proves successful, you’ll want to scale out to embrace the volume, variety and velocity that characterizes today’s demands in Big Data Analytics … in production. Because Spark is as comfortable on an isolated laptop as it is in a distributed-computing environment, addressing these ‘Big Data’ requirements in production boils down to effectively and efficiently embracing SUSE Linux containers, servers, clusters and clouds. As case studies will illustrate, this transition from prototype to production can be made successfully.
Please drop by the Univa booth (# 2009) at SC16 to share your interests in Machine Learning. Whether its containers, servers, clusters and/or clouds, involving CPUs and/or GPUs, Univa has solutions that’ll better enable your forays into Deep Learning in almost any context.