An OpenMP-Based Algorithm for Multi-Nodes Computational of Super-Resolution

Abstract

Abstract A new common OpenMP based parallel programming method MPMC (multi-node paralleling model base on multiprocessor devices) is proposed and implemented for data separation based to accelerate Super-Resolution (SR) task. PanguOS, a common parallel programming system designed with MPMC, is deployed with Secure Shell (SSH) to control devices and Secure Copy (SCP) to transmit the data stream on Ubuntu 16.04, and it has a good performance for SR task with remote sensing images. Experiments with images from geostationary-orbit earth observing satellite GaoFen(GF)-4, the method proposed can achieve almost 2.95 times acceleration at PanguOS, deployed with 3 Jetson TX2s, than a single Jetson TX2.