where N is the number of parallelized code fragments, \(\alpha\) is the ratio of parallelizable fraction to total (so \((1-\alpha )\) is the “serial percentage”), and S is a measurable speedup. That is, Amdahl’s law considers a fixed-size problem, and \(\alpha\) portion of ...
comprising segregated single processors, have severe performance limitations, which cannot be explained using von Neumann's classic computing paradigm. In his classic ''First Draft,'' he warned that using a ''too fast processor'' vitiates his simple ''procedure'' (but not his computing model!)...