@inproceedings{608d7465739a4ff690474641c07c92cf,
title = "Evaluation of methods to integrate analysis into a large-scale shock shock physics code",
abstract = "Exascale supercomputing will embody many revolutionary changes in the hardware and software of high-performance computing. For example, projected limitations in power and I/O-system performance will fundamentally change visualization and analysis workflows. A traditional post-processing workflow involves storing simulation results to disk and later retrieving them for visualization and data analysis; however, at Exascale, post-processing approaches will not be able to capture the volume or granularity of data necessary for analysis of these extreme-scale simulations. As an alternative, researchers are exploring ways to integrate analysis and simulation without using the storage system. In situ and in transit are two options, but there has not been an adequate evaluation of these approaches to identify strengths, weaknesses, and trade-offs at large scale. This paper provides a detailed performance and scaling analysis of a large-scale shock physics code using traditional post-processsing, in situ, and in transit analysis to detect material fragments from a simulated explosion.",
keywords = "case study, fragment detection, in situ analysis, in transit analysis, shock physics",
author = "Oldfield, {Ron A.} and Kenneth Moreland and Nathan Fabian and David Rogers",
year = "2014",
doi = "10.1145/2597652.2597668",
language = "English",
isbn = "9781450326421",
series = "Proceedings of the International Conference on Supercomputing",
publisher = "Association for Computing Machinery",
pages = "83--92",
booktitle = "ICS 2014 - Proceedings of the 28th ACM International Conference on Supercomputing",
note = "28th ACM International Conference on Supercomputing, ICS 2014 ; Conference date: 10-06-2014 Through 13-06-2014",
}