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  1. #include <iostream>
  2. #include <fstream>
  3.  
  4. #ifdef _OPENMP
  5. #include <omp.h>
  6. #else
  7. #include <chrono>
  8. #endif
  9.  
  10. using namespace std;
  11.  
  12. // Dummy processing functions
  13. void enhanceMRI() { cout << "Enhancing contrast of MRI images..." << endl; }
  14. void denoiseCT() { cout << "Removing noise from CT scans..." << endl; }
  15. void detectEdgesXray() { cout << "Detecting edges in X-ray images..." << endl; }
  16.  
  17. int main() {
  18. double start_time = 0.0, end_time = 0.0;
  19.  
  20. // start timer (use omp timer if available)
  21. #ifdef _OPENMP
  22. start_time = omp_get_wtime();
  23. #else
  24. auto start_ch = std::chrono::high_resolution_clock::now();
  25. #endif
  26.  
  27. #pragma omp parallel
  28. {
  29. #pragma omp single
  30. {
  31. cout << "Starting Medical Image Pipeline..." << endl;
  32. cout << "Loading machine-learning model parameters..." << endl;
  33. cout << "Allocating shared memory for processed image buffers..." << endl;
  34. }
  35.  
  36. #pragma omp sections
  37. {
  38. #pragma omp section
  39. { enhanceMRI(); }
  40.  
  41. #pragma omp section
  42. { denoiseCT(); }
  43.  
  44. #pragma omp section
  45. { detectEdgesXray(); }
  46. }
  47.  
  48. #pragma omp master
  49. {
  50. #ifdef _OPENMP
  51. end_time = omp_get_wtime();
  52. #else
  53. auto end_ch = std::chrono::high_resolution_clock::now();
  54. std::chrono::duration<double> diff = end_ch - start_ch;
  55. end_time = diff.count();
  56. #endif
  57.  
  58. cout << "Saving all processed images..." << endl;
  59. cout << "Total execution time: " << (end_time - start_time) << " seconds" << endl;
  60.  
  61. ofstream logFile("processing_log.txt");
  62. logFile << "Medical Imaging Pipeline Completed Successfully\n";
  63. logFile.close();
  64. cout << "Processing summary saved to file." << endl;
  65. }
  66. } // end parallel
  67.  
  68. return 0;
  69. }
  70.  
Success #stdin #stdout 0.01s 5320KB
stdin
Standard input is empty
stdout
Starting Medical Image Pipeline...
Loading machine-learning model parameters...
Allocating shared memory for processed image buffers...
Enhancing contrast of MRI images...
Removing noise from CT scans...
Detecting edges in X-ray images...
Saving all processed images...
Total execution time: 7.8549e-05 seconds
Processing summary saved to file.