Comparison of Serial and Parallel Computation on Predicting Missing Data with EM Algorithm

Authors

  • Erna Nurmawati Politeknik Statiska STIS
  • Robby Hasan Pangaribuan
  • Ibnu Santoso

DOI:

https://doi.org/10.20956/j.v18i1.14003

Keywords:

Parallel Computing, Missing Data, EM Algorithm

Abstract

One way to deal with the presence of missing value or incomplete data is to impute the data using EM Algorithm. The need for large and fast data processing is necessary to implement parallel computing on EM algorithm serial program. In the parallel program architecture of EM Algorithm in this study, the controller is only related to the EM module whereas the EM module itself uses matrix and vector modules intensively. Parallelization is done by using OpenMP in EM modules which results in faster compute time on parallel programs than serial programs. Parallel computing with a thread of 4 (four) increases speed up, reduces compute time, and reduces efficiency when compared to parallel computing by the number of threads 2 (two).

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Published

2021-09-02

How to Cite

Nurmawati, E., Pangaribuan, R. H. ., & Santoso, I. . (2021). Comparison of Serial and Parallel Computation on Predicting Missing Data with EM Algorithm. Jurnal Matematika, Statistika Dan Komputasi, 18(1), 22-30. https://doi.org/10.20956/j.v18i1.14003

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Section

Research Articles