Parallel and distributed computing education for undergraduate students.– Algorithms, models and tools for parallel computing on heterogeneous platforms.- Multicore software engineering.- Large-scale distributed virtual environments.- Parallel and distributed agent-based simulations.- Parallelism in bioinformatics.-Performance engineering for large-scale graph analytics.- Reproducibility in parallel computing.- Resilience in high performance computing in clusters, clouds, and grids.- Runtime and operating systems for the many-core era).- UnConventional high-performance computing.