A high-performance hospital queue management system built in C that demonstrates parallel computing concepts using Sequential Processing, POSIX Threads, OpenMP, and MPI.
The system simulates real-world hospital patient management with priority-based scheduling, doctor assignment, ward allocation, and performance benchmarking across multiple parallel programming models.
- 👨⚕️ Patient record generation (50,000 records)
- 📊 Priority-based queue sorting (Emergency / Serious / Normal)
- 🏥 Automatic doctor & ward assignment
- 📈 Hospital statistics dashboard
- ⚡ Multi-model processing:
- Sequential Processing
- POSIX Threads (Pthreads)
- OpenMP Parallel Processing
- MPI Distributed Processing
- 📉 Performance comparison & speedup analysis
- 💾 CSV export of benchmarking results
- Parallel Programming
- Multithreading (Pthreads)
- Shared Memory Parallelism (OpenMP)
- Distributed Computing (MPI)
- Performance Benchmarking
- Queue Management Systems
Areef Rasool
BSAI Student | AI, Data Science & Networking Enthusiast
This project is open-source and available under the MIT License.