Dr. Öğr. Üyesi OZAN TUĞLUK

Makaleler 7

1. Online data analysis and reduction: An important Co-design motif for extreme-scale computers

Foster I., Ainsworth M., Bessac J., Cappello F., Choi J., Di S., et al.

INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS , cilt.35, sa.6, ss.617-635, 2021 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

2. MULTILEVEL TECHNIQUES FOR COMPRESSION AND REDUCTION OF SCIENTIFIC DATA-THE UNSTRUCTURED CASE

Ainsworth M., Tugluk O., Whitney B., Klasky S.

SIAM JOURNAL ON SCIENTIFIC COMPUTING , cilt.42, sa.2, 2020 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

3. MULTILEVEL TECHNIQUES FOR COMPRESSION AND REDUCTION OF SCIENTIFIC DATA-QUANTITATIVE CONTROL OF ACCURACY IN DERIVED QUANTITIES

Ainsworth M., Tugluk O., Whitney B., Klasky S.

SIAM JOURNAL ON SCIENTIFIC COMPUTING , cilt.41, sa.4, 2019 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

4. MULTILEVEL TECHNIQUES FOR COMPRESSION AND REDUCTION OF SCIENTIFIC DATA-THE MULTIVARIATE CASE

Ainsworth M., Tugluk O., Whitney B., Klasky S.

SIAM JOURNAL ON SCIENTIFIC COMPUTING , cilt.41, sa.2, 2019 (SCI-Expanded, Scopus) Sürdürülebilir Kalkınma

5. Multilevel techniques for compression and reduction of scientific datathe univariate case

Ainsworth M., Tugluk O., Whitney B., Klasky S.

COMPUTING AND VISUALIZATION IN SCIENCE , cilt.19, sa.5-6, ss.65-76, 2018 (ESCI, Scopus) Sürdürülebilir Kalkınma

6. Direct numerical simulation of pipe flow using a solenoidal spectral method

Tugluk O., TARMAN I. H.

ACTA MECHANICA , cilt.223, sa.5, ss.923-935, 2012 (SCI-Expanded, Scopus)

7. Solenoidal bases for numerical studies of transition in pipe flow

Tugluk O., TARMAN I. H.

PHYSICA SCRIPTA , cilt.T142, 2010 (SCI-Expanded, Scopus)

Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler 10

1. Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression

Gong Q., Liang X., Whitney B., Choi J. Y., Chen J., Wan L., et al.

21st Smoky Mountains Computational Sciences and Engineering Conference (SMC), ELECTR NETWORK, 18 - 20 Ekim 2021, cilt.1512, ss.22-39, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

2. Coupling Exascale Multiphysics Applications: Methods and Lessons Learned

Choi J. Y., Chang C., Dominski J., Klasky S., Merlo G., Suchyta E., et al.

14th IEEE International Conference on E-Science (E-Science), Amsterdam, Hollanda, 29 Ekim - 01 Kasım 2018, ss.442-452, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

3. Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales

Foster I., Ainsworth M., Allen B., Bessac J., Cappello F., Choi J. Y., et al.

23rd International Conference on Parallel and Distributed Computing (Euro-Par), Santiago de Compostela, İspanya, 28 Ağustos - 01 Eylül 2017, cilt.10417, ss.3-19, (Tam Metin Bildiri) Sürdürülebilir Kalkınma

4. POD based Models for Drag Reduction in Turbulent Pipe Flow

Tuğluk O., TARMAN I. H.

International Conference On Boundary Element And Meshless Techniques, 11 - 13 Temmuz 2016, (Özet Bildiri)

5. Drag Reduction via Phase Randomization in Turbulent Pipe Flow

Tugluk O., Tarman H. I.

European Conference on Numerical Mathematics and Advanced Applications (ENUMATH), Ankara, Türkiye, 14 - 18 Eylül 2015, cilt.112, ss.463-470, (Tam Metin Bildiri)