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 ...

Abstract Data movement in high-performance computing systems accelerated by graphics processing units (GPUs) remains a challenging problem. Data communication in popular parallel programming models, ...

Parallel Programming and Multicore Systems Publication Trend The graph below shows the total number of publications each year in Parallel Programming and Multicore Systems.

In this paper we consider a class of parallel machine scheduling problems and their associated set-partitioning formulations. We show that the tightness of the linear programming relaxation of these ...