Short Course Description
The Message Passing Interface (MPI) is a powerful standard for parallel programming, enabling developers to write scalable and efficient applications for distributed-memory systems. This two-day course is designed to introduce participants to the fundamentals of MPI programming, equipping them with the knowledge and practical skills needed to develop parallel applications. Through interactive sessions, hands-on exercises, and real-world examples, participants will gain a solid foundation in MPI concepts, syntax, and implementation techniques. Whether you are new to parallel programming or looking to enhance your skills, this course will provide the essential tools to harness the power of MPI for high-performance computing.
Course Content Overview
Day 1: Foundations of MPI Programming
- Session 1: Introduction to Parallel Computing and MPI Basics
- Overview of parallel computing
- Introduction to MPI and its architecture
- Session 2: Point-to-Point Communication
- Understanding message passing
- MPI send and receive operations
- Practical examples of point-to-point communication
- Session 3: Collective Communication Operations
- Introduction to collective communication
- Broadcast, scatter, gather, and reduce operations
- Hands-on exercises with collective communication
- Session 4: Debugging and Profiling MPI Programs
- Common debugging techniques for MPI programs
- Tools for profiling and performance analysis
Day 2: Advanced Concepts and Applications
- Session 1: Advanced Communication Techniques
- Non-blocking communication (MPI_Isend, MPI_Irecv)
- Synchronization and barriers in MPI
- Session 2: Process Topologies and Virtualization
- Cartesian and graph topologies in MPI
- Mapping processes to hardware efficiently
- Session 3: Parallel Application Development with MPI
- Designing parallel algorithms using MPI
- Case studies of real-world applications
- Session 4: Best Practices and Future Directions in MPI Programming
- Optimizing performance in MPI programs
- Future trends in parallel programming
Learning Outcomes
By the end of this course, participants will be able to:
- Understand the fundamental concepts of parallel computing and the role of MPI in distributed-memory systems.
- Write basic MPI programs using point-to-point and collective communication operations.
- Debug, profile, and optimize MPI applications for improved performance.
- Design and develop scalable parallel applications using best practices in MPI programming.