Parallel Computation

Graduate

Introduction to fundamental issues in parallel computation. Basic parallel computing platforms. Models of parallel computation such as shared data and message passing. Data parallel and other abstractions. Cost models and debugging. Programming for performance. Scalability. Workload balancing. Meta- computing in grid environments. Libraries and compilers. Parallel algorithms for numeric and non- numeric problems.