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Amdahl's law has been widely used by designers and researchers to get a rough estimate of performance improvement when alternate designs and implementations are attempted. It gives a simple relationship between the nature of performance improvement and the problem characteristics. The negative way the original law was stated [Amd67] contributed to a good deal of pessimism about the nature of parallel processing. But, after observing remarkable speedups in some large-scale applications, researchers in parallel processing started wrongfully suspecting the validity and usefulness of Amdahl's law. In this paper we present the many uses of Amdahl's law as well as some of its abuses.