Parallelism is crucial in HPC because it allows complex computational problems to be divided into smaller tasks that can be processed simultaneously. This leads to faster computation times and more efficient use of resources.
#Data Parallelism
- Distributing subsets of the same data across multiple processors, where each processor performs the same operation on its subset.
- e.g. Weather simulation models where each processor calculates the weather for a different region of the grid.
#Task Parallelism
- Distributing different tasks across multiple processors where each processor may perform a different operation.
- e.g. in a large-scale scientific simulation, one set of processors handles the computation of physical forces while another set of processors manages data input/output operations.
Computer Performance