Abstract
To visualize the results of parallel computation on a super-large scale of a few to a few tens of thousands of parallel processes, processing in which bulky computation result data are rendered at high speeds is required. The conventional method of transferring computation result data to a visualization server may give rise to many challenges that are difficult to meet such as reassembly and transfer of extensive amounts of computation result files. This paper presents technologies for solving these challenges to visualize super large scale computations performed by the K computer and the results of applying those technologies.
