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An Evaluation of Parallel Computing in PC Clusters with Fast Ethernet

  • Conference paper
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Parallel Computation (ACPC 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1557))

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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.

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References

  1. López-de-Teruel, P.E., Acacio, M.E., Cánovas, O., García, J.M.: EDR: An Algorithm for Parallel Implementation of Parzen Density Estimation from Uncertain Observations. Submitted to the 2nd Merged Symposium IPPS/SPDP (1999)

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© 1999 Springer-Verlag Berlin Heidelberg

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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: Zinterhof, P., Vajteršic, M., Uhl, A. (eds) Parallel Computation. ACPC 1999. Lecture Notes in Computer Science, vol 1557. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49164-3_55

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  • DOI: https://doi.org/10.1007/3-540-49164-3_55

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65641-8

  • Online ISBN: 978-3-540-49164-4

  • eBook Packages: Springer Book Archive

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