Abstract (EN):
Cluster computing is presently a major research area,
mostly for high performance computing. The work herein
presented refers to the application of cluster computing in a
small scale where a virtual machine is composed by a small
number of off-the-shelf personal computers connected by a
low cost network. A methodology to determine the optimal
number of processors to be used in a computation is
presented as well as the speedup results obtained for the
matrix-matrix multiplication and for the symmetric QR algorithm for eigenvector computation which are significant
building blocks for applications in the target image processing and analysis domain. The load balancing strategy is also addressed.
Idioma:
Inglês
Tipo (Avaliação Docente):
Científica
Contacto:
http://paginas.fe.up.pt/~tavares/downloads/publications/artigos/hcw00.pdf
Nº de páginas:
13
Tipo de Licença: