An HP Supercomputer for Data Intensive Science

SC11 is just two weeks away, and holding true to this year’s conference thrust of data intensive science, HP yesterday delivered one of our latest supercomputers.

Apart from saying this system was designed for data intensive science, I won’t say much more about it until it’s new owner has a chance to talk about the system at the upcoming HP-CAST meeting being held just prior to SC11. If you haven’t signed up for HP-CAST, there are still a few seats available, but be sure to register now because HP has had overwhelming response to many of our SC11 activities and some events like the HP invite-only evening event at the Boeing Aviation Museum are at capacity.

Meanwhile, if you want to learn more about HP’s Performance Optimized Datacenter (POD) which houses this system and helps meet sustainability goals, you can read up online.

About Marc Hamilton

Marc Hamilton – Vice President, Solutions Architecture and Engineering, NVIDIA. At NVIDIA, the Visual Computing Company, Marc leads the worldwide Solutions Architecture and Engineering team, responsible for working with NVIDIA’s customers and partners to deliver the world’s best end to end solutions for professional visualization and design, high performance computing, and big data analytics. Prior to NVIDIA, Marc worked in the Hyperscale Business Unit within HP’s Enterprise Group where he led the HPC team for the Americas region. Marc spent 16 years at Sun Microsystems in HPC and other sales and marketing executive management roles. Marc also worked at TRW developing HPC applications for the US aerospace and defense industry. He has published a number of technical articles and is the author of the book, “Software Development, Building Reliable Systems”. Marc holds a BS degree in Math and Computer Science from UCLA, an MS degree in Electrical Engineering from USC, and is a graduate of the UCLA Executive Management program.
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