TY - GEN
T1 - Performance impacts of in situ wavelet compression on scientific simulations
AU - Li, Shaomeng
AU - Clyne, John
AU - Larsen, Matthew
AU - Childs, Hank
N1 - Publisher Copyright:
© 2017 Copyright held by the owner/author(s).
PY - 2017/11/12
Y1 - 2017/11/12
N2 - In situ compression is a compromise between traditional post hoc and emerging in situ visualization and analysis. While the merits and limitations of various compressor options have been well studied, their performance impacts on scientific simulations are less clear, especially on large scale supercomputer systems. This study fills in this gap by performing in situ compression experiments on a leading supercomputer system. More specifically, we measured the computational and I/O impacts of a lossy wavelet compressor and analyzed the results with respect to various in situ processing concerns. We believe this study provides a better understanding of in situ compression as well as new evidence supporting its viability, in particular for wavelets.
AB - In situ compression is a compromise between traditional post hoc and emerging in situ visualization and analysis. While the merits and limitations of various compressor options have been well studied, their performance impacts on scientific simulations are less clear, especially on large scale supercomputer systems. This study fills in this gap by performing in situ compression experiments on a leading supercomputer system. More specifically, we measured the computational and I/O impacts of a lossy wavelet compressor and analyzed the results with respect to various in situ processing concerns. We believe this study provides a better understanding of in situ compression as well as new evidence supporting its viability, in particular for wavelets.
UR - https://www.scopus.com/pages/publications/85049508421
U2 - 10.1145/3144769.3144773
DO - 10.1145/3144769.3144773
M3 - Conference contribution
AN - SCOPUS:85049508421
SN - 9781450351393
T3 - Proceedings of ISAV 2017: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization - Held in conjunction with SC 2017: The International Conference for High Performance Computing, Networking, Storage and Analysis
SP - 37
EP - 41
BT - Proceedings of ISAV 2017
PB - Association for Computing Machinery, Inc
T2 - 2017 In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, ISAV 2017 - Held in conjunction with the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2017
Y2 - 12 November 2017
ER -