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, ...

In this slidecast, Torsten Hoefler from ETH Zurich presents: Data-Centric Parallel Programming. The ubiquity of accelerators in high-performance computing has driven programming complexity beyond the ...

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.

This online research computing specialization introduces learners to the fundamentals of high performance and parallel computing and includes big data analysis, machine learning, parallel programming, ...

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 ...

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