In this paper, we present a runtime method for scheduling parallel applications on dynamic and heterogeneous platforms. It can be used to schedule parallel applications whose tota...
Salah-Salim Boutammine, Daniel Millot, Christian P...
Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large n...
Abstract. A new approach to develop parallel and distributed scheduling algorithms for multiprocessor systems is proposed. Its main innovation lies in evolving a decomposition of t...
Franciszek Seredynski, Jacek Koronacki, Cezary Z. ...
Abstract—Among the numerous DAG scheduling heuristics suitable for heterogeneous systems, the Heterogeneous Earliest Finish Time (HEFT) heuristic is known to give good results in...
Luiz F. Bittencourt, Rizos Sakellariou, Edmundo R....
A major challenge in Metacomputing Systems (Computational Grids) is to effectively use their shared resources, such as compute cycles, memory, communication network, and data repo...
Ammar H. Alhusaini, Viktor K. Prasanna, Cauligi S....