Title:	IN SITU VISUALIZATION INFRASTRUCTURE FOR LARGE SCALE SIMULATIONS WITH STRUCTURED MESHES
Author(s):	Yi Cao, Zeyao Mo, Zhiwei Ai, Aiqing Zhang, Li Xiao and Huawei Wang
ISBN:	978-989-8533-66-1
Editors:	Yingcai Xiao and Ajith P. Abraham
Year:	2017
Edition:	Single
Keywords:	In situ visualization, exascle computing, large-scale simulation, SAMR simulation
Type:	Full Paper
First Page:	139
Last Page:	146
Language:	English
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Paper Abstract:	To resolve complex multiscale, multiphysics problems at high resolution, modern large-scale parallel scientific and engineering simulations with structured meshes have exceeded the scale of tens of billions mesh elements. In situ visualization play an important role in avoiding the slowest component of post-processing workflow on exasale architectures: accessing the file system twice with input/output bottlenecks. Tightly coupling in situ visualization with simulations requires minimum modification to existing code. Most previous in situ work has focused on achieving in situ visualization with individual simulation code with less regard to the promising parallel programming frameworks that can guarantee quick adaptation to a batch of simulation applications. In this paper, we present an in situ visualization infrastructure based on the parallel programming framework, J Adaptive Structured Meshes applications Infrastructure (JASMIN), which supports large-scale simulations with structured meshes. We describe an approach that opens up new applications for in situ visualization, the key technologies on which it depends, and our experiences of integrating our infrastructure into two domain-specific simulations.
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