1. Distributed Real-time Systems- Lecture 01 Cluster Computing Dr. Amitava Gupta Faculty of Informatics & Electrical Engineering University of Rostock, Germany

2. Cluster Computing- Lecture Distribution Course Overview Lectures Laboratory Exercises 01High Performance Computing Architectures 02Clusters: Definition & Types 03Programming Paradigm & Programming Environments 04- 07 Message Passing Interface Mid-term assessment 08- 09 OpenMP opened 10Parallel Computing in Computational Engineering 01MPI Programming basics 02Writing and compiling simple MPI programs 03OpenMP basics 04Simple OpenMP programs 05-07Exercises: Programming with MPI Mid-term assessment 08-11Exercises: Programming with OpenMP

3. Distributed Real-time Systems- Lecture Distribution Course Overview contd.. Lectures Laboratory Exercises 12Profiling tools for clusters 13Concept of load and load Balancing 14Development tools and Debugging Mid-term assessment 15High Performance Networking 16OS, Administration and Storage for clusters End-term assessment 12-13Profiling and benchmarking Mid-term assessment 14-16Writing a parallel application End-term assessment In the form of a seminar