3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.DC2019★ 1 cited
Blaze: Simplified High Performance Cluster Computing
Junhao Li, Hang Zhang
MapReduce and its variants have significantly simplified and accelerated the process of developing parallel programs. However, most MapReduce implementations focus on data-intensiv…
cs.DC2018★ 3 cited
Comparing Spark vs MPI/OpenMP On Word Count MapReduce
Junhao Li
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. Thi…
cs.PF2018
HPS: A C++11 High Performance Serialization Library
Junhao Li
Data serialization is a common and crucial component in high performance computing. In this paper, I present a C++11 based serialization library for performance critical systems. I…