Comparing Spark vs MPI/OpenMP On Word Count MapReduce.
arXiv: Distributed, Parallel, and Cluster Computing（2018）
摘要
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%.
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