PDL PROJECTS

DISC: Data-Intensive Super Computing

Contact: Julio López, Garth Gibson

The leading Internet search providers have created a new class of large-scale computer systems to support their businesses. We are formulating a plan for a research project that extends the type of computing systems used for Internet search to a larger range of applications. We refer to such systems as "Data-Intensive Super Computing" (DISC) systems. DISC systems differ from conventional supercomputers in their focus on data: they acquire and maintain continually changing data sets, in addition to performing large-scale computations over the data. With the massive amounts of data arising from such diverse sources as telescope imagery, numerical simulations, medical records, online transaction records, and web pages, DISC systems have the potential to achieve major advances in science, health care, business efficiencies, and information access. DISC opens up many important research topics in system design, resource management, programming models, parallel algorithms, and applications. By engaging the academic research community in these issues, we can more systematically and in a more open forum explore fundamental aspects of a societally important style of computing.

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Yahoo! press releases:

Associated Projects

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FACULTY

Randy Bryant
Greg Ganger
Garth Gibson
Julio López
David O'Hallaron

GRADUATE STUDENTS

Wittawat Tantisiriroj

EXTERNAL COLLABORATORS

Gary Grider (LANL)
James Nunez (LANL)
Jay Kistler (Yahoo!)
Chris Olston (Yahoo!)

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© 2014. Last updated 8 March, 2012