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Issue No. 06 - Nov.-Dec. (2011 vol. 13)
ISSN: 1521-9615
pp: 34-41
Alex Szalay , The Johns Hopkins University
ABSTRACT
<p>Scientific computing increasingly involves massive data; in astronomy, observations and numerical simulations are on the verge of generating petabytes. This new, data-centric computing requires a new look at computing architectures and strategies. Using Amdahl's law to characterize architectures and workloads, it's possible to use existing commodity parts to build systems that approach an ideal Amdahl machine.</p>
INDEX TERMS
Scientific computing, massive datasets, astronomy, Amdahl machine, simulations
CITATION
Alex Szalay, "Extreme Data-Intensive Scientific Computing", Computing in Science & Engineering, vol. 13, no. , pp. 34-41, Nov.-Dec. 2011, doi:10.1109/MCSE.2011.74
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