Baraglia R., Ferrini R., Ritrovato P.
Parallel processing
In this paper we present a static mapping heuristic, called Heterogeneous Multi-phase Mapping (HMM), which allows a suboptimal mapping of a parallel program onto a metacomputer to minimize the program execution time. HMM allocates parallel tasks by exploiting the information embedded in the parallelism forms used to implement an application. Moreover, it uses a local search technique together with the tabu search meta-heuristic. The experimental results show that the proposed approach performs well promising a significant potential to develop efficient mapping solutions for metacomputers.
Source: Lecture notes in computer science 3911 (2006): 731–740.
Publisher: Springer, Berlin , Germania
@article{oai:it.cnr:prodotti:43888,
title = {HMM: a static mapping algorithm to map parallel applications on grids},
author = {Baraglia R. and Ferrini R. and Ritrovato P.},
publisher = {Springer, Berlin , Germania},
journal = {Lecture notes in computer science},
volume = {3911},
pages = {731–740},
year = {2006}
}