Write a UPC program that counts the number of even elements in a shared array of integer numbers – “data” – of a general size N, larger or smaller than the number of threads

Problem1:

Write a UPC program that counts the number of even elements in a shared array of integer numbers – “data” – of a general size N, larger or smaller than the number of threads. You can use another shared array – “local_count” – of size equal to the number of threads to hold local count from each thread. At the end, thread 0 will need to aggregate all of the “local_counts” to produce the final number. What is the parallel complexity of that algorithm?

Problem2:

Write a UPC program that computes the mean and variance of all elements in a shared array of a general size, larger or smaller than the number of threads. You can use another shared array of size equal to the number of threads to hold partial sums from each thread.  At the end, thread 0 will need to sum up all partial sums, compute the mean and variance, and print the result.

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