Performance: Bower found two processors in another computer room and in this question we will compare the performance of two processors using a certain benchmark. Processor L1 Size L1 D-Cache Miss Rate P1 4KB 6% P2 8KB 2% L1 I-Cache Miss Rate 2% 4% L2 Hit Time 0.4ns 0.9ns We are also given that accesses to the main memory takes 90ns. Additionally Processor 2 has to execute 15% more instructions than Processor 1. It is also seen that only 30% of the instructions access memory (i. e, lw and sw instructions). Profiling the code also showed us that 15% of the instructions were branch instructions. Both processors support branch prediction with 90% of the branches being predicted accurately and mis-predicts with P1 having a 2 cycle penalty and P2 having a 3 cycle penalty. Assume that we have no data hazards. (c) Estimate the MCPI of the benchmark for both the processors. (Hint: You need to consider both instruction and data memory). There is no overlap between instruction misses and data misses so all penalties are additive.
(d) Estimate the BCPI (Contribution due to branches) for both the processors
(e) Considering just this benchmark, which of these processors is faster? (Assume Base CPI = 1.0 for both) Hint: Use execution time

The blank button automatically displays next to the data when you select a range of numeric data which is an available option for creating a chart

1. ask the user how many questions are in the quiz. 2. ask the user to enter the key (that is, the correct answers). there should be one answer for each question in the quiz, and each answer should be an integer. e.g., 34 7 13 100 81 3 9 10 321 12 might be the key for a 10-question quiz. you will need to store the key in an array. 3. ask the user to enter the answers for the quiz to be graded. there needs to be one answer for each question. note that these answers do not need to be stored; each answer can simply be compared to the key as it is entered. 4. when the user has entered all of the answers to be graded, print the number correct and the percent correct. 5. add a loop so that the user can grade any number of quizzes with a single key. after the results have been printed for each quiz, ask "grade another quiz? (y/n)." note: you only have one array (the key). you are not creating a new key for each set of quiz answers.

Now you’re on your own. include a short summary of this section with plots in your lab report. write a matlab script file to do steps (a) through (d) below. include a listing of the script file with your report. 1 the soundsc(xx,fs) function requires two arguments: the first one (xx) contains the vector of data to be played, the second argument (fs) is the sampling rate for playing the samples. in addition, soundsc(xx,fs) does automatic scaling and then calls sound(xx,fs) to actually play the signal. mcclellan, schafer, and yoder, dsp first, 2e, isbn 0-13-065562-7. prentice hall, upper saddle river, nj 07458. c 2015 pearson education, inc. 4 mcclellan, schafer and yoder, signal processing first. prentice hall, upper saddle river, new jersey, 2003. c 2003 prentice hall. (a) generate a time vector (tt) to cover a range of t that will exhibit approximately two cycles of the 4000 hz sinusoids defined in the next part, part (b). use a definition for tt similar to part 2.2(d). if we use t to denote the period of the sinusoids, define the starting time of the vector tt to be equal to t , and the ending time as ct . then the two cycles will include t d 0. finally, make sure that you have at least 25 samples per period of the sinusoidal wave. in other words, when you use the colon operator to define the time vector, make the increment small enough to generate 25 samples per period. (b) generate two 4000 hz sinusoids with arbitrary amplitude and time-shift. x1.t / d a1 cos.2