Comparing Spark vs MPI/OpenMP On Word Count MapReduce
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%.
- Publication:
-
arXiv e-prints
- Pub Date:
- November 2018
- DOI:
- 10.48550/arXiv.1811.04875
- arXiv:
- arXiv:1811.04875
- Bibcode:
- 2018arXiv181104875L
- Keywords:
-
- Computer Science - Distributed;
- Parallel;
- and Cluster Computing;
- Computer Science - Performance