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Issue No.06 - Nov.-Dec. (2011 vol.13)
pp: 25-33
Randal E. Bryant , Carnegie Mellon University
<p>Increasingly, scientific computing applications must accumulate and manage massive datasets, as well as perform sophisticated computations over these data. Such applications call for data-intensive scalable computer (DISC) systems, which differ in fundamental ways from existing high-performance computing systems.</p>
Data-intensive computing, e-Science, MapReduce
Randal E. Bryant, "Data-Intensive Scalable Computing for Scientific Applications", Computing in Science & Engineering, vol.13, no. 6, pp. 25-33, Nov.-Dec. 2011, doi:10.1109/MCSE.2011.73
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