Issue No. 06 - Nov.-Dec. (2011 vol. 13)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2011.74
Alex Szalay , The Johns Hopkins University
<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>
Scientific computing, massive datasets, astronomy, Amdahl machine, simulations
A. Szalay, "Extreme Data-Intensive Scientific Computing," in Computing in Science & Engineering, vol. 13, no. , pp. 34-41, 2011.