Despite a large research effort, software distributed shared memory systems have not been widely used to run parallel applications across clusters of computers. The higher perform...
Large-scale data analysis has become increasingly important for many enterprises. Recently, a new distributed computing paradigm, called MapReduce, and its open source implementat...
Massive data transfer encountered in emerging multimedia embedded applications requires architecture allowing both highly distributed memory structure and multiprocessor computati...
Sang-Il Han, Amer Baghdadi, Marius Bonaciu, Soo-Ik...
Malleability enables a parallel application’s execution system to split or merge processes modifying granularity. While process migration is widely used to adapt applications to...
Kaoutar El Maghraoui, Travis J. Desell, Boleslaw K...
A new coordination language for distributed data-parallel programs is presented, call SNet. The intention of SNet is to introduce advanced structuring techniques into a coordinatio...
Clemens Grelck, Sven-Bodo Scholz, Alexander V. Sha...