A system-level design of MapReduce-based embedded multiprocessor system-on-chips
Huajuan Zhang, Hao Xiao, Ning Wu · 2016
With the advent of the Internet of Things, collection and processing of large datasets on embedded systems become increasingly important. Therefore, to enable embedded processors with more data processing capabilities, this paper applies the MapReduce parallel programming model to embedded multi-processor system-on-chip (MPSoC). We implement the proposed MPSoC in system-level SystemC and evaluate its performance using commercial ESL tools. Experimental results show that the proposed MPSoC can achieve up to 2.1× performance improvement compared with Phoenix on general-purpose embedded platform.