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Matrix Multiplication with OpenMP (30 points) Write a program that calculates the product of two matrices, using a parallel for loop. Note that this requires writing a triply-nested for loop, and making one of the for loops parallel.

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Final answer:

Matrix multiplication can be optimized using parallel computing techniques such as OpenMP to distribute the workload across multiple threads or processors. This can improve the performance and speed of the matrix multiplication process.

Step-by-step explanation:

Matrix multiplication is a mathematical operation that involves multiplying two matrices to produce a third matrix. In order to optimize the matrix multiplication process, we can use parallel computing techniques such as OpenMP. OpenMP is a programming interface that allows us to parallelize loops in order to improve the performance of our code. By making one of the for loops parallel, we can distribute the workload across multiple threads or processors, leading to faster matrix multiplication.

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