This month, I give a crash course in parallel programming so you can get a feel for what is involved. There are two broad categories of parallel programs: shared memory and message passing.

In this slidecast, Torsten Hoefler from ETH Zurich presents: Data-Centric Parallel Programming. "To maintain performance portability in the future, it is imperative to decouple architecture-specific ...

EuroMPI/USA 2017 has issued its Call for Papers. As the preeminent meeting for users, developers and researchers to interact and discuss new developments and applications of message-passing parallel ...

Parallel programming exploits the capabilities of multicore systems by dividing computational tasks into concurrently executed subtasks. This approach is fundamental to maximising performance and ...