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Gustafson’s Law is apt when an algorithm can dynamically adjust the amount of computation to match available parallelization. In contrast, Amdahl’s Law is more fitting when the computation load is fixed and cannot be significantly altered by parallelization. Weak and scaling tests should be performed depending on the nature of the problem.
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