Introduction to OpenMP¶

1. Which directive in OpenMP is used to parallelize a for loop by distributing its iterations across multiple threads?

• A. #pragma omp simd
• B. #pragma omp parallel
• C. #pragma omp parallel for
• D. #pragma omp private

Shared Memory Architecture¶

2. In OpenMP, which data-sharing attribute ensures that each thread has its own instance of a variable, with no sharing across threads?

• A. shared
• B. private
• C. reduction
• D. collapse

3. True or False: OpenMP is specifically designed for shared memory architectures where multiple processing cores can access the same main memory space.

SIMD and Memory Optimization¶

4. Which OpenMP directive is used to optimize a loop for SIMD instructions on compatible hardware?

• A. #pragma omp parallel
• B. #pragma omp simd
• C. #pragma omp for
• D. #pragma omp task

Practical Usage in C/C++ and Fortran¶

5. True or False: In OpenMP, the reduction clause combines values from multiple threads (e.g., summing values) in a way that ensures data consistency and prevents race conditions.

6. In Fortran, which directive would you use to parallelize a loop similar to OpenMP's #pragma omp parallel for in C/C++?

• A. !$omp for
• B. !$omp private
• C. !$omp parallel do
• D. !$omp simd