Dahl
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Amdahl’s law is often used in parallel computing to predict the theoretical speedup when using multiple processors. Amdahl’s law applies only to the cases where the problem size is fixed. In this case, Gustafson’s law gives a less pessimistic and more realistic assessment of the parallel performance. An example is a computer program that processes files. A part of that program may scan the directory of the disk and create a list of files internally in memory.
After that, another part of the program passes each file to a separate thread for processing. The part that scans the directory and creates the file list cannot be sped up on a parallel computer, but the part that processes the files can. It includes the execution time of the part that would not benefit from the improvement of the resources and the execution time of the one that would benefit from it. 4th part is sped up 1.