2000 character limit reached
Comparing Spark vs MPI/OpenMP On Word Count MapReduce (1811.04875v2)
Published 12 Nov 2018 in cs.DC and cs.PF
Abstract: 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%.
Collections
Sign up for free to add this paper to one or more collections.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.