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Exa-DM
Exa-DM: Enabling Scientific Discovery in Exascale Simulations
Publications:
C. Kamath, "Compressing unstructured mesh data from simulations using machine learning," International Journal of Data Science and Analytics, Volume 9, pp 113-130, (2020) https://doi.org/10.1007/s41060-019-00180-6
C. Kamath, Y.-J. Fan, "Compressing Unstructured Mesh Data Using Spline Fits, Compressed Sensing, and Regression Methods," IEEE GlobalSIP, November 2018, Anaheim, CA, pp. 316-320.
C. Kamath, "Learning to compress unstructured mesh data from simulations," IEEE/ACM/ASA International Conference on Data Science and Advanced Analytics (DSAA 2017), Tokyo, Japan, October 19-21, 2017.
Y. J. Fan and C. Kamath, "A comparison of compressed sensing and sparse recovery algorithms applied to simulation data," Statistics, Optimization, and Information Computing, Vol. 4, Issue 3, September 2016, pp 194-213. DOI: http://dx.doi.org/10.19139/soic.v4i3.207
- J. Iverson, C. Kamath, and G. Karypis, Evaluation of connected-component labeling algorithms for distributed-memory systems, Parallel Computing, Vol. 44, May 2015, Pages 53-68. doi:10.1016/j.parco.2015.02.005
Y. J. Fan and C. Kamath, ``Practical considerations in applying compressed sensing to simulation data,'' Data Compression Conference, Utah, April 2015.
J. Iverson, Y. J. Fan, G. Karypis, C. Kamath, "Exa-DM: Enabling Scientific Discovery in Exascale Simulations, " poster and presentation at the DOE Exascale Research Conference, October 2012. [Talk]
J. Iverson, C. Kamath, G. Karypis, "Fast and effective lossy compression algorithms for scientific datasets," Euro-Par Conference, Rhodes Island, Greece, August 27-31, 2012.
C. Kamath, J. Iverson, R. Kirk, and G. Karypis, "Detection of Coherent Structures in Extreme-Scale Simulations," DOE Exascale Research Conference, Portland, Oregon, Apr 16- 18, 2012 [pdf]