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Matrix Transpose is an important operation, which is frequently used in signal and image processing applications. Consider transposing a 4 times 4 square matrix

Matrix Transpose is an important operation, which is frequently used in signal and image
processing applications. Consider transposing a 4\times 4 square matrix-A, stored in row major form
with address from 0 to 15. The output is stored in matrix-B, which is also stored in row major
form, address from 16 to 31. The pseudocode for this operation is shown below.
for (int i =0; i <4; i=i+1)
for (int j =0; j <4; j=j+1)
B[j][i]= A[i][j]
Each element of the matrix is one word. Given the Cache size is 8 words, it is a two-way setassociative
cache, Block size is 2 words, replacement policy used is LRU. Answer the following
questions. (# indicates the count

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