Final answer:
Gustafson's law assumes increasing problem size with more processors, unlike Amdahl's law, which assumes a fixed problem size. For a program that is 50% serial and 50% parallel on 128 processors, Gustafson's law predicts a theoretical maximum speedup of 64.5.
Step-by-step explanation:
Gustafson's law differs from Amdahl's law in its assumptions about parallel computing. Amdahl's law focuses on a fixed problem size and shows diminishing returns for parallelization due to the serial portion of the task, which cannot be accelerated through more processors. In contrast, Gustafson's law assumes that the problem size increases with the number of processors, making the parallel portion more significant, which leads to a more optimistic view on scalable parallelization.
Applying Gustafson's law to a program with a 50% serial and 50% parallel composition using 128 processors, we calculate the theoretical maximum speedup (S) as follows:
S = N + (1 - N) × s
S = 128 + (1 - 128) × 0.5
S = 128 + (-127) × 0.5
S = 128 - 63.5
S = 64.5
So, the theoretical maximum speedup using Gustafson's law would be 64.5 times faster as compared to the serial execution.