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October 28, 2009

ICCAD Keynote Address: Impact of Cloud Computing on Extreme-Scale Analytics Platforms

by @ 12:46 pm. Filed under ALL, Computers/Software, Electronics Design, Semiconductors

MONDAY November 2, 2009
IEEE ICCAD Conference
Speaker: Dr. Hamid Pirahes, IBM Fellow
Time: Registration at 8:45 AM; Presentation at 9:00 AM
Cost: none
Place: On the Web
RSVP: Log in at 8:45 AM on the MediaSite registration page (first 600)
Web: (first story and link)

Information technology is going through a fundamental change, influenced primarily by (1) Flexible provisioning and scalability of Cloud Computing, (2) Accelerated pace of analytics around semi-structured and unstructured data in the context of semantically rich data objects in the main stream data processing, (3) Much increased human interaction with the web due to the use of GPS enabled mobile devices, and its application in our daily lives, from social networking to conducting financial transactions, (4) Web Scale programming community with Web 2.0, search and open software, (5) Rise of SaaS (Software As A Service). There is particular emphasis on breaking the complexity barrier of today’s solutions through simplification. The lifetime cost of ownership of solutions is dominated by the human time spent in building, operating, and evolving these solutions. Much increased compute power in cloud computing enables us to reduce this complexity by reducing the use of fragile, complex, and partially manually optimized programs in favor of simpler and more stable and scalable ones. Flexibility and much quicker provisioning of cloud computing combined with much reduced cost per terra byte/flop are key factors in much faster deployment of solutions. High scale cloud platforms play an increasingly bigger role in the strategy of NSF and other government agencies. IBM-google cloud is an example of an effort that provides cloud services for universities. Societal smarter planet applications, such as Smart Traffic, energy grids, healthcare, cities are increasingly important for both government and commercial companies. Commercially viable high scale compute and storage infrastructure is a key enabler for these applications. As such, in the context of the data intensive applications, there are significant opportunities in optimizing multicore chips and hardware/storage systems.

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