TY - GEN
T1 - Visualization and analysis requirements for in situ processing for a large-scale fusion simulation code
AU - Kress, James
AU - Pugmire, David
AU - Klasky, Scott
AU - Childs, Hank
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/30
Y1 - 2017/1/30
N2 - In situ techniques have become a very active research area since they have been shown to be an effective way to combat the issues associated with the ever growing gap between computation and I/O bandwidth. In order to take full advantage of in situ techniques with a large-scale simulation code, it is critical to understand the breadth and depth of its analysis requirements. In this paper, we present the results of a survey done with members of the XGC1 fusion simulation code team in order to gather their requirements for analysis and visualization. We look at these requirements from the perspective of in situ processing and present a list of XGC1 analysis tasks performed by its physicists, engineers, and visualization specialists. This analysis of the specific needs and use cases of a single code is important in understanding the nature of the needs that simulations have in terms of data movement and usage for visualization and analysis, now and in the future.
AB - In situ techniques have become a very active research area since they have been shown to be an effective way to combat the issues associated with the ever growing gap between computation and I/O bandwidth. In order to take full advantage of in situ techniques with a large-scale simulation code, it is critical to understand the breadth and depth of its analysis requirements. In this paper, we present the results of a survey done with members of the XGC1 fusion simulation code team in order to gather their requirements for analysis and visualization. We look at these requirements from the perspective of in situ processing and present a list of XGC1 analysis tasks performed by its physicists, engineers, and visualization specialists. This analysis of the specific needs and use cases of a single code is important in understanding the nature of the needs that simulations have in terms of data movement and usage for visualization and analysis, now and in the future.
UR - http://www.scopus.com/inward/record.url?scp=85015405080&partnerID=8YFLogxK
U2 - 10.1109/ISAV.2016.14
DO - 10.1109/ISAV.2016.14
M3 - Conference contribution
AN - SCOPUS:85015405080
T3 - Proceedings of ISAV 2016: 2nd Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization - Held in conjunction with SC 2016: The International Conference for High Performance Computing, Networking, Storage and Analysis
SP - 45
EP - 50
BT - Proceedings of ISAV 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, ISAV 2016
Y2 - 13 November 2016
ER -