  The Chinese Spectral RadioHeliograph (CSRH) is a synthetic aperture radio
interferometer built in Inner Mongolia, China. As a solar-dedicated
interferometric array, CSRH is capable of producing high quality radio images
at frequency range from 400 MHz to 15 GHz with high temporal, spatial, and
spectral resolution.To implement high cadence imaging at wide-band and obtain
more than 2 order higher multiple frequencies, the implementation of the data
processing system for CSRH is a great challenge. It is urgent to build a
pipeline for processing massive data of CSRH generated every day. In this
paper, we develop a high performance distributed data processing pipeline
(DDPP) built on the OpenCluster infrastructure for processing CSRH
observational data including data storage, archiving, preprocessing, image
reconstruction, deconvolution, and real-time monitoring. We comprehensively
elaborate the system architecture of the pipeline and the implementation of
each subsystem. The DDPP is automatic, robust, scalable and manageable. The
processing performance under multi computers parallel and GPU hybrid system
meets the requirements of CSRH data processing. The study presents an valuable
reference for other radio telescopes especially aperture synthesis telescopes,
and also gives an valuable contribution to the current and/or future data
intensive astronomical observations.
