Abstract
Characteristic bipolar waveforms were frequently observed by the electric waveform receiver onboard the lunar orbiter named KAGUYA. An algorithm to extract these bipolar waveforms is now under development, but the total amount of the waveform data is about 190GB and it is too huge to apply the algorithm on a general PC workstation. In the present study, we attempt to accelerate computation time by a parallel and distributed workflow named “Pwrake” implemented on NICT science cloud. We report the evaluation results of the efficiency of the data processing.
