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The Beginning of an Era – HPC, Take Your Rightful Place in the Data Center

Jill King, VP of Marketing, Adaptive Computing

“Please join me in welcoming a new era — an era where HPC is the center of the business universe. It’s about keeping it simple and creating an ecosystem that adapts as demands dictate. Take the ease-of-use and collaboration of the cloud, couple that with the horsepower of HPC and extract the data necessary for the business to make game changing decisions. That’s the recipe for success and HPC is the cornerstone. HPC, take your rightful place in the data center.”

Data and Goliath: Why Startups Own the Future of Big Data

rich

So, if I had to put this talk in a nutshell, Yes, I am very bullish on how Docker (containers) and virtualization are going to change the face of HPC. If you want to understand why, check out what my friends Christian Kniep and Josh Simons have been up to on those fronts.

Ancillary Events & Special Booth Sessions at SC14

sc14

SC14 is world’s largest gathering of HPC professionals, and the smart money is on the organizations that leverage the show for their own gatherings, meetups, special booth sessions, and user groups.

The NFL, Big Data, and HPC

rogers

David Beer writes that the NFL plans to equip players on the field with radio-frequency identification (RFID) tags that will provide a flood of data for tracking and simulation. “HPC is also well suited to handle the different use cases that will arise from the different kinds of data analysis that people will want to run. For example, some people may well want to develop a simulation complete with graphics to represent what happened and to show different wrinkles on how the play might be run.”

Porting Hadoop to HPC

intel

Ralph H. Castain from Intel presented this talk at the Adaptive Computing booth at SC13. “The solution allows customers to leverage both their HPC and big data investments in a single platform, as opposed to operating them in siloed environments. The convergence between big data and HPC environments will only grow stronger as organizations demand data processing models capable of extracting the results required to make data-driven decisions.”