Abstract
Currently, clusters of Personal Computers (PCs) with sharing Fast Ethernet may offer a significant price/performance ratio in parallel processing. This paper presents a study of the promising possibilities of parallelism in this environment, using both a classical numerical method to solve a differential equation and an innovative algorithm to solve the statistical problem of density estimation. In addition, and to compare, some comparisons with an IBM SP2 are carried out.
Cite
CITATION STYLE
Acacio, M., Cánovas, O., García, J. M., & López-de-Teruel, P. E. (1999). An evaluation of parallel computing in PC clusters with fast ethernet. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1557, pp. 570–571). Springer Verlag. https://doi.org/10.1007/3-540-49164-3_55
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