  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%.
