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September/October 2005 (vol. 7 no. 5)
pp. 10-13
Bruce Boghosian, Tufts University
Peter Coveney, University College London
The use of parallel computation for scientific research is so widespread today that it's easy to forget it started on a large scale as recently as the late 1980s. With the increasing attention given to parallel algorithms for scientific research, researchers soon realized that certain common applications, such as Monte Carlo algorithms, were embarrassingly parallel: they required very little interprocessor communication and could be effectively deployed on networks of modest communications bandwidth, including the Internet.
Index Terms:
grid computing, parallel computing, distributed computing
Citation:
Bruce Boghosian, Peter Coveney, "Guest Editors' Introduction: Scientific Applications of Grid Computing," Computing in Science and Engineering, vol. 7, no. 5, pp. 10-13, Sept.-Oct. 2005, doi:10.1109/MCSE.2005.95
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