Participating Applications

INTES: Mechanical Design

INTES will study task and data parallelization strategies to be conducted for different application domains, such as radiation or eigenvalue problems. Hierarchical methods will be evaluated to map the different parallelization levels onto the algorithms. Scheduling strategies for CPU/GPU workload distribution will be of special interest. For large models, node-local post processing of the partitioned model could be of interest to reduce data transfer.