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The combination of heterogeneous computing and cloud computing is emerging as a
powerful new paradigm to meet the requirements for high-performance computing
(HPC) and data throughput throughout the life sciences (LS) and healthcare value chains.
Of course, neither cloud computing nor the use of innovative computing architectures
is new, but the rise of big data as a defining feature of modern life sciences and the
proliferation of vastly differing applications to mine the data have dramatically changed
the landscape of LS computing requirements.
Heterogeneous cloud computing offers the potential to shift flexibly from one HPC architecture to another in a secure public or private cloud environment.
Diane Bryant, Data Center Group, discusses real time analytics for business in the launch keynote.
SAS CEO Jim Goodnight speaks at Analytics 2013 about its Intel®-based commodity hardware.
Virtual simulation is used to integrate automotive design and engineering for superior performance.
Discusses community cloud services benefits using NYSE Technologies' closed network example.
MLB mobile apps crunch big data for in-game analysis and fantasy league statistics.
As part of the Pecan Street demonstration project, Intel-based servers analyze big data from each building in the Mueller community in Austin, Texas.