Sparse and irregular computations constitute a large fraction of applications in the data-intensive scientific domain. While every effort is made to balance the computational wor...
Guangyu Chen, Konrad Malkowski, Mahmut T. Kandemir...
Wide-area distributed systems like computational grids are emergent infrastructures for high-performance parallel applications. On these systems, communication mechanisms have to ...
In this study, we consider an environment composed of a heterogeneous cluster of multicore-based machines used to analyze satellite images. The workload involves large data sets, a...
Luis D. Briceo, Jay Smith, Howard Jay Siegel, Anth...
Abstract-- Scheduling problems are already difficult on traditional parallel machines, and they become extremely challenging on heterogeneous clusters. In this paper we deal with t...
Anne Benoit, Loris Marchal, Jean-Francois Pineau, ...
Future mobile devices will be based on heterogeneous multiprocessing platforms accommodating several currently stand-alone applications. Increasing complexity of both application ...
Jari Kreku, Yang Qu, Juha-Pekka Soininen, Kari Tie...