OpenMP is widely used for shared memory parallel programming and is especially useful for the parallelisation of loops. When it comes to task parallelism, however, OpenMP is less p...
Oliver Sinnen, Jsun Pe, Alexander Vladimirovich Ko...
This paper proposes a simple and efficient implementation method for a hierarchical coarse grain task parallel processing scheme on a SMP machine. OSCAR multigrain parallelizing c...
As high-end computing systems continue to grow in scale, recent advances in multiand many-core architectures have pushed such growth toward more denser architectures, that is, mor...
Pavan Balaji, Darius Buntinas, David Goodell, Will...
Abstract. Multi grain sentiment analysis is the task of simultaneously classifying sentiment expressed at different levels of granularity, as opposed to single level at a time. Mod...
We consider the problem of task reweighting in fair-scheduled multiprocessor systems wherein each task’s processor share is specified as a weight. When a task is reweighted, a ...