Survey Question on the For loop in source file benchmarks/baseline/NPB3.0-omp-c/LU/lu.c line 3481

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Hello Sir/ Madam
We are from a research group at Iowa State University, USA. We want to do a survey on Github developers on the methods they used for paralleling their code. To do the survey, We want to ask three questions about this for loop:
1. Can you briefly explain the purpose of using pragma for this case? If the pragma contained reduction and private clauses, can you briefly mention the purposes of variables in those clauses?

2. How much confidence do you have about the correctness of this implementation? You can choose from 1-5 with 1 as the lowest confidence score and 5 as the highest confidence score.

3. (Optional) Do you actually run (interpret the code with compilation and pass input/get output) the code and see the optimization of parallelization? Yes/No
- If yes, can you provide the information of what are the input and expected output of this program (the input that caused the program to run through this for-loop).

The for loop is from line 3481 of file https:/github.com/LLNL/AutoParBench/blob/master/benchmarks/baseline/NPB3.0-omp-c/LU/lu.c
Here is a part of the code:

omp parallel for firstprivate(xcr ,xce ,m )
for (m = 0; m < 5; m++)
{
xcrdif[m] = fabs((xcr[m] - xcrref[m]) / xcrref[m]);
xcedif[m] = fabs((xce[m] - xceref[m]) / xceref[m]);
}

Sincerely thanks

Read benchmarks/baseline/NPB3.0-omp-c/LU/lu.c around line 3481 and inspect the surrounding loop and OpenMP directive. Determine what the directive and its clauses mean, then compile and run the benchmark only if validating the requested confidence and input/output details. Done means providing the three requested survey responses, not changing repository files.

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