Block-synchronous execution is a main source for parallel inefficiencies. To improve scalability of parallel codes, it can be crucial to replace block-synchronous execution by more fine-grained synchronization. OpenMP tasks with dependencies allow to express asynchronous execution with just the necessary synchronization at the process level. OpenMP 5.0 introduced detached tasks. In combination with MPI detached communication (aka. MPI continuations), detached tasks allow to build task dependency graphs across MPI processes. In this presentation you will learn how you can integrate MPI detached communication into your project and profit from real asynchronous communication. For an example code, we will compare the parallel performance of different levels of synchronization. If you don’t want to use OpenMP tasks, the same approach will also work with C++ futures/promises.