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Effective and efficient data sampling using bitmap indices
2014
Cluster Computing
With growing computational capabilities of parallel machines, scientific simulations are being performed at finer spatial and temporal scales, leading to a data explosion. The growing sizes are making it extremely hard to store, manage, disseminate, analyze, and visualize these datasets, especially as neither the memory capacity of parallel machines, memory access speeds, nor disk bandwidths are increasing at the same rate as the computing power. Sampling can be an effective technique to
doi:10.1007/s10586-014-0360-5
fatcat:etxzxvrqhvedxcti7b7ilqyu7y