One usual fallacy is to consider the computer with the largest clock rate as having the largest

performance. Check if this is true for P$1$ and P$2.$

b$.(10$ points$)$ Another fallacy is to consider that the processor executing the largest number of instructions will

need a larger CPU time. Considering that processor P$1$ is executing a sequence of $1\mathrm{.}8$E$9$ instructions and that

the CPI of processors P$1$ and P$2$ do not change, determine the number of instructions that P$2$ can execute

while P$1$ needs to execute $1\mathrm{.}8$E$9$ instructions.

c$.(10$ points$)$ A common fallacy is to use MIPS $($millions of instructions per second$)$ to compare the

performance of two different processors, and consider that the processor with the largest MIPS has the largest

performance. Check if this is true for P$1$ and P$2.$

d$.(10$ points$)$ Another common performance figure is MFLOPS $($millions of floating$-$point operations per

second$),$ defined as MFLOPS $=$ No$.$ FP operations $/($execution time $\backslash$times $1$E$6)$ but this figure has the same

problems as MIPS. Assume that $30\%$ of the instructions executed on both P$1$ and P$2$ are floating$-$point

instructions. Find the MFLOPS figures for the programs.