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Stan hired Bob to mow his lawn. While Bob was cutting the grass, he saw something sparkle in the ground. He dug it out and discovered that it was a sapphire set in a gold ring. Which of the following correctly states the relative legal interests of Stan and Bob?

Ted’s will specifies all his property, real and personal both, be given “to my widow for life, and at her death, to my first grandchild and his heirs.” The gift to the grandchild is

Three years before his death, Leo leased his land to Oil X. The lease gave Oil X the right to drill for oil and gas for a period of 25 years and provided for the payment of a royalty for oil and gas removed. While Leo was alive, no oil or gas was discovered. Upon Leo’s death, he devised the land to his son, Stu, for life, remainder to his grandson, George. The residue of his estate was left to his widow. The year after Leo died, oil was discovered on the land, and royalties became due. To whom should the royalties be paid?

Which of the following best describes a SIMD architecture?

You are given the following OpenMP program, which approximates π using a parallel loop with reduction:   #include #include #include using namespace std; const int N = 100000000; int main() { int k; const int NUM_THREADS = 4; omp_set_num_threads(NUM_THREADS); double sum = 0.0; #pragma omp parallel for reduction(+:sum) private(k) for (k = 0; k

Consider the following code: A = compute_A();B = compute_B();C = compute_C();D = compute_D(); Explain why this pattern is task-parallel and not data-parallel.  

Indicate whether each statement is true or false based on the graph below. 1) Male reproductive success is limited by access to mates. [1] 2) Males invest more in gametes and parental care. [2] 3) Males are the competing sex and likely use strategies like mating plugs. [3]  4) Males maximize fitness by mating with a few high-quality females. [4]

Explain why load imbalance reduces parallel performance. Provide an example and describe how to mitigate it.

Give an example of a code pattern that results in poor cache locality. Then explain how a small change in data layout or loop order dramatically improves performance.

Differentiate task-based and data-based parallelism. Give a real scientific workload example for each.