Parallel Scientific Computation

Aims

This course provides an introduction to the subject of parallel computing for scientific applications. No prior experience of scientific computation is required; several illustrative examples are explained in detail. The emphasis is on the parallel aspects, including the underlying parallel hardware and architectures, the inherent parallelism within the scientific applications, parallel software development, cost models for performance prediction and algorithms for grid partitioning.