Given a sequential Laplace Red$/$Black Solver code, you need to do the following:

$1-$ Write a parallel code using OpenMP for the $($laplace$\_$solver$\_$par$)$ function only.

$2-$Specify the data environment of the used variables explicitly $($shared$,$ private, reduction, etc.$).$

$3-$ Use different loop scheduling policies $($static$,$ dynamic$)$ with three chunk sizes $(1,2,4).$

$4-$ Use four different numbers of threads $(1,2,3,4.$

$5-$ Try different OpenMP clauses to check their impact on performance.

$6-$ Use omp$\_$get$\_$wtime$()$ in the main function to measure the total elapsed time of the

$($laplace$\_$solver$\_$par$)$ function to compare it with the total elapsed time of the $($laplace$\_$solver$\_$seq$)$

function.

$7-$ Use any required loop optimizations if possible to improve performance and explain it in your report.

$8-$ Write a report as a$.$pdf file that includes the following:

a$-$ Your final parallel code

b$-$ A table that consists of all the experiments and their timing measurements.

c$-$ An explanation about your final parallel code and why it is better than the other versions.

d$-$ A final table that compares the sequential code with your final$/$best parallel code that includes

execution time, speedup, and efficiency.