Join Adaptive Computing and HLRN to discuss today’s challenges
with big data and how together they accelerate insights in
scientific computing by unifying data center resources, optimizing
the analysis process, and observing workflow status.
CLICK HERE TO REGISTER
The HLRN III at the Leibniz University in Hannover, Germany is a unique
supercomputing system created to serve the needs of the scientific community alliance in seven northern German states. It operates at two sites, the Zuse
Institute Berlin (ZIB) and the High Performance Computing Center (RRZN). The
HLRN alliance supports advanced scientific research in a wide range of fields,
including environmental research, climate and ocean modeling, physics, chemistry, bio-informatics, engineering, and fluid dynamics. Dr. SHULZE-KREMER
will highlight some of these case studies unveiling challenges and successes
serving the alliance.
Adaptive Computing plays a huge role in unifying, optimizing, and observing
HLRN’s two sites. It is imperative for HLRN to operate these two data centers as
one and maximize all available resources. By streamlining the analysis process
through automation, HLRN’s improved performance and increased accuracy
results in greater efficiency. Daniel Hardman will address how Adaptive accelerates insights by efficiently managing multiple sites and utilizing automation
tools to unify and optimize HLRN’s data center, as well as observing the data
center to ensure resources are available to all alliance members and account for
their cluster usage.
ATTENTION: Attend this live webcast and pose your critical questions to the
panel of experts.
We look forward to your participation and encourage you to invite your
colleagues to attend.
Presented by: Sponsored by:
Dr. Steffen Schulze-Kremer
Head High Performance
Hannover IT Services
Chief Scientist and
BlackDog Endeavors, LLC
& HPC Source
The Future of Big Data
March 18, 2014 • 12:00 p.m. ET; 9:00 a.m. PT