Ozan Tuğluk

E-mail

tugluk@metu.edu.tr

Department

Graduate School of Applied Mathematics

Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression Gong, Qian; Liang, Xin; Whitney, Ben; Choi, Jong Youl; Chen, Jieyang; Wan, Lipeng; Ethier, Stephane; Ku, Seung-Hoe; Churchill, R. Michael; Chang, C-S; Ainsworth, Mark; Tuğluk, Ozan; Munson, Todd; Pugmire, David; Archibald, Richard; Klasky, Scott (2022-01-01) As the growth of data sizes continues to outpace computational resources, there is a pressing need for data reduction techniques that can significantly reduce the amount of data and quantify the error incurred in compressi...
Online data analysis and reduction: An important Co-design motif for extreme-scale computers Foster, Ian; et. al. (2021-11-01) A growing disparity between supercomputer computation speeds and I/O rates means that it is rapidly becoming infeasible to analyze supercomputer application output only after that output has been written to a file system. ...
MULTILEVEL TECHNIQUES FOR COMPRESSION AND REDUCTION OF SCIENTIFIC DATA-THE UNSTRUCTURED CASE Ainsworth, Mark; Tuğluk, Ozan; Whitney, Ben; Klasky, Scott (2020-01-01) Previous work on multilevel techniques for compression and reduction of scientific data is extended to the case of data given on unstructured meshes in two and three dimensions. The centerpiece of the work is a decompositi...
MULTILEVEL TECHNIQUES FOR COMPRESSION AND REDUCTION OF SCIENTIFIC DATA-THE MULTIVARIATE CASE Ainsworth, Mark; Tuğluk, Ozan; Whitney, Ben; Klasky, Scott (2019-01-01) We develop a technique for multigrid adaptive reduction of data (MGARD). Special attention is given to the case of tensor product grids, where our approach permits the use of nonuniformly spaced grids in each direction, wh...
MULTILEVEL TECHNIQUES FOR COMPRESSION AND REDUCTION OF SCIENTIFIC DATA-QUANTITATIVE CONTROL OF ACCURACY IN DERIVED QUANTITIES Ainsworth, Mark; Tuğluk, Ozan; Whitney, Ben; Klasky, Scott (2019-01-01) Although many compression algorithms are focused on preserving pointwise values of the data, application scientists are generally more concerned with derived quantities. Equally well, the user may even he willing to accept...
Multilevel techniques for compression and reduction of scientific datathe univariate case Ainsworth, Mark; Tuğluk, Ozan; Whitney, Ben; Klasky, Scott (2018-12-01) We present a multilevel technique for the compression and reduction of univariate data and give an optimal complexity algorithm for its implementation. A hierarchical scheme offers the flexibility to produce multiple level...
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned Choi, Jong Youl; Chang, Choong-Seock; Dominski, Julien; Klasky, Scott; Merlo, Gabriele; Suchyta, Eric; Ainsworth, Mark; Allen, Bryce; Cappello, Franck; Churchill, Michael; Davis, Philip; Di, Sheng; Eisenhauer, Greg; Ethier, Stephane; Foster, Ian; Geveci, Berk; Guo, Hanqi; Huck, Kevin; Jenko, Frank; et.al. (2018-01-01) With the growing computational complexity of science and the complexity of new and emerging hardware, it is time to re-evaluate the traditional monolithic design of computational codes. One new paradigm is constructing lar...
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales Foster, Ian; Ainsworth, Mark; Allen, Bryce; Bessac, Julie; Cappello, Franck; Choi, Jong Youl; Constantinescu, Emil; Davis, Philip E.; Di, Sheng; Di, Wendy; Guo, Hanqi; Klasky, Scott; Van Dam, Kerstin Kleese; Kurc, Tahsin; Liu, Qing; Malik, Abid; Mehta, Kshitij; Mueller, Klaus; Munson, Todd; et.al. (2017-01-01) A growing disparity between supercomputer computation speeds and I/O rates makes it increasingly infeasible for applications to save all results for offline analysis. Instead, applications must analyze and reduce data onli...

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