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A general framework to understand parallel performance in heterogeneous clusters: Analysis of a new adaptive parallel genetic algorithm
(Academic Press Inc Elsevier Science, 2005-12)
This paper presents a general model to define, measure and predict the efficiency of applications running on heterogeneous parallel computer systems. Using this framework, it is possible to understand the influence that ...
Parallelization of a Multipartite Graph Matching Algorithm for Tracking Multiple Football Players
(2018)
This work describes the parallel methodology for a football tracking algorithm based on multipartite graphs using MPI and OpenMP. The proposed algorithm use a consumer-producer scheme to overlap the computing time of the ...
Adapting distributed evolutionary algorithms to heterogeneous hardware
(Springer, 2015-12)
Distributed computing environments are nowadays composed of many heterogeneous computers able to work cooperatively. Despite this, the most of the work in parallel metaheuristics assumes a homogeneous hardware as the ...
Fuzzy clustering algorithms and validity indices for distributed data
(SpringerCham, 2015)
This chapter presents a unified framework to generalize a number of fuzzy clustering algorithms to handle distributed data in an exact way, i.e., with no approximation of results with respect to their original centralized ...
Implementing distributed mutual exclusion on multithreaded environments: The alien-threads approach
(Springer Berlin / Heidelberg, 2007)
Special software for computing the special functions of wave catastrophes
(Centro de Investigaciones en Matemática Pura y Aplicada (CIMPA) y Escuela de Matemática, San José, Costa Rica., 2015)