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This is not precisely seashore studying, yet it is not speculated to be. I initially acquired this publication for a graduate point collage path, and located the e-book to be virtually exhaustive in it really is assurance. i will not suggest it for the informal reader, yet as a reference consultant, this is often virtually the premier for computing device structure.
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Extra info for Computer Architecture: A Quantitative Approach, 3rd Edition
Compare these two design alternatives using the CPU performance equation. ANSWER First, observe that only the CPI changes; the clock rate and instruction count remain identical. 64 We can compute the CPI for the enhancement of all FP instructions the same way or by summing the FP and non-FP CPIs. 625 Since the CPI of the overall FP enhancement is slightly lower, its performance will be marginally better. 625 Happily, this is the same speedup we obtained using Amdahl’s Law on page 42. It is often possible to measure the constituent parts of the CPU performance equation.
W(1) equally weights the programs, resulting in a mean (row 3) that is the same as the unweighted arithmetic mean. W(2) makes the mix of programs inversely proportional to the execution times on machine B; row 4 shows the arithmetic mean for that weighting. W(3) weights the programs in inverse proportion to the execution times of the two programs on machine A; the arithmetic mean with this weighting is given in the last row. The net effect of the second and third weightings is to “normalize” the weightings to the execution times of programs running on that machine, so that the running time will be spent evenly between each program for that machine.
An important corollary of Amdahl’s Law is that if an enhancement is only usable for a fraction of a task, we can’t speed up the task by more than the reciprocal of 1 minus that fraction. ” If, instead of measuring the time that we could use the enhancement in a computation, we measure the time after the enhancement is in use, the results will be incorrect! ) Amdahl’s Law can serve as a guide to how much an enhancement will improve performance and how to distribute resources to improve cost/performance.
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