arXiv Open Access 2018

Comparing Spark vs MPI/OpenMP On Word Count MapReduce

Junhao Li

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Abstrak

Spark provides an in-memory implementation of MapReduce that is widely used in the big data industry. MPI/OpenMP is a popular framework for high performance parallel computing. This paper presents a high performance MapReduce design in MPI/OpenMP and uses that to compare with Spark on the classic word count MapReduce task. My result shows that the MPI/OpenMP MapReduce outperforms Apache Spark by about 300%.

Topik & Kata Kunci

cs.DC cs.PF

Penulis (1)

Junhao Li

Format Sitasi

APA MLA BibTeX

Li, J. (2018). Comparing Spark vs MPI/OpenMP On Word Count MapReduce. https://arxiv.org/abs/1811.04875

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Informasi Jurnal

Tahun Terbit: 2018
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓