Data sets in large applications are often too massive to fit completely inside the computer's internal memory. The resulting input/output communication (or I/O) between fast ...
Abstract. Parallelizing a sequential algorithm—i.e., manually or automatically converting it into an equivalent parallel distributed algorithm—is an important problem. Ideally,...
Lei Pan, Ming Kin Lai, Michael B. Dillencourt, Lub...
PageRank becomes the most well-known re-ranking technique of the search results. By its iterative computational nature, the computation takes much computing time and resource. Res...
The availability of large-scale computing platforms comprised of tens of thousands of multicore processors motivates the need for the next generation of highly scalable sparse line...
Abstract. We consider approaches that allow task migration for scheduling recurrent directed-acyclic-graph (DAG) tasks on symmetric, shared-memory multiprocessors (SMPs) in order t...