The Figure 1 below shows the Amdahl's law for multiprocessor (speedup vs. number of processors), where f is the fraction of code that is parallelizable. Analyse the figure below and select the statements that are TRUE: 20 f = 0,95 f = 0.90 5. f= 0.75 f = 0.5 .--- 10 100 1000 Number of Processors Figure 1. Amdahl's Low for multiprocessor Select one or more: A. Having M processors will speedup the overall system performance times M B. When f is small, the use of parallel processors has little effect C. There is much benefit of multiple processors even if the code execution is mostly serial D. As number of processors increase there are diminishing returns for using more processors 10 dnpəds

Computer Networking: A Top-Down Approach (7th Edition)
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Chapter1: Computer Networks And The Internet
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The Figure 1 below shows the Amdahl's law for multiprocessor (speedup vs. number of processors), where f is the
fraction of code that is parallelizable.
Analyse the figure below and select the statements that are TRUE:
20
f= 0.95
f = 0.90
5.
f= 0.75
f= 0.5
10
100
1000
Number of Processors
Figure 1. Amdahl's Low for multiprocessor
Select one or more:
A. Having M processors will speedup the overall system performance times M
B. When f is small, the use of parallel processors has little effect
C. There is much benefit of multiple processors even if the code execution is mostly serial
D. As number of processors increase there are diminishing returns for using more processors
dnpads
Transcribed Image Text:The Figure 1 below shows the Amdahl's law for multiprocessor (speedup vs. number of processors), where f is the fraction of code that is parallelizable. Analyse the figure below and select the statements that are TRUE: 20 f= 0.95 f = 0.90 5. f= 0.75 f= 0.5 10 100 1000 Number of Processors Figure 1. Amdahl's Low for multiprocessor Select one or more: A. Having M processors will speedup the overall system performance times M B. When f is small, the use of parallel processors has little effect C. There is much benefit of multiple processors even if the code execution is mostly serial D. As number of processors increase there are diminishing returns for using more processors dnpads
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