Title: Data-Intensive Supercomputing: The case for DISC
Abstract: Google and its competitors have created a new class of large-scale computer systems to support Internet search. These “Data-Intensive Super Computing” (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, 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.
Publication Year: 2007
Publication Date: 2007-01-01
Language: en
Type: article
Access and Citation
Cited By Count: 170
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot