The aim of this paper is to study the influence of processor mapping on message passing performance of two different parallel computers: the Cray T3E and the SGI Origin 2000. For this purpose, we have first designed an experiment where processors are paired off in a random manner and messages are exchanged between them. In view of the results of this experiment, it is obvious that the physical placement must be accounted for. Consequently, a mapping algorithm for the Cray T3E, suited cartesian topologies is studied. We conclude by making comparisons between our T3E algorithm, the MPI default mapping and another algorithm proposed by Müller and Resch in [9].
CITATION STYLE
Huedo, E., Prieto, M., Llorente, I. M., & Tirado, F. (2000). Impact of PE mapping on Cray T3E message-passing performance. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1900, pp. 199–207). Springer Verlag. https://doi.org/10.1007/3-540-44520-x_27
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