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1 Fast Exponentiation Consider this function to compute xnwhere n is a positive integer. double e xp B y Sq u ar i n g

1 Fast Exponentiation Consider this function to compute xnwhere n is a positive integer. double e xp B y Sq u ar i n g ( double x , i n t n ) { i f ( n == 0 ) return 1 ; i f ( n == 1 ) return x ; i f ( n % 2 == 0 ) return e x pB y Sq u a ri n g ( x x , n / 2 ) ; e l s e return x e xp B y Sq u a ri n g ( x x , ( n 1 ) / 2 ) ; } Question: What is the complexity of this function? Question: Extract the dependencies. Question: What is the width? Question: What is the work? Question: What is the critical path? What is its length?

2 Dense Matrix Matrix Multiplication Recursively Consider this algorithm to compute C = A B when A, B, and C are n n matrices where n is a power of 2. Multiply(A, B): A11 = A[1..n/2][1..n/2] A12 = A[1..n/2][n/2..n] A21 = A[n/2..n][1..n/2] A22 = A[n/2..n][n/2..n] B11 = B[1..n/2][1..n/2] B12 = B[1..n/2][n/2..n] B21 = B[n/2..n][1..n/2] B22 = B[n/2..n][n/2..n] C11 = A11*B11 + A12*B21 C12 = A11*B12 + A12*B22 C21 = A21*B11 + A22*B21 C22 = A21*B12 + A22*B22 return [[C11, C12],[C21, C22]] Note that the operation are done by recursively calling the Multiply function. And that the + operation is a matrix operation. Question: What is the complexity of this function? (Hint: use Master theorem) Question: Extract the dependencies. Question: What is the width? Question: What is the work? Question: What is the critical path? What is its length?

3 Merge Sort Question: Recall the merge sort algorithm. (Give the algorithm.) Question: What is the complexity of this function? Question: Extract the dependencies. (Hint: instead of using loop iterations as a task, you can use function calls and function return as tasks. Think that merge sort is recursive! Remember that when working with functions, a name in two different function can represent different underlying variable/memory location.) Question: Do all tasks have the same processing time? Question: What is the width? Question: What is the work? Question: What is the critical path? What is its length? Question: How does the schedule of such an algorithm look like when P = 4? (What I mean is that what ever the values of n, the schedules have shapes. What shape does any schedule for this problem have? The sketch of what a Gantt chart would look like answer the question.)

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