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Posters 2019


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Below is a list of posters created in 2019 by IACS faculty and students who have used our computer clusters for their research. For anyone using the clusters for their research, we ask that you include the following sentence. You are also free to use the above logo.

Results displayed on this poster were obtained using the high-performance computing system 
at the Institute for Advanced Computational Science at Stony Brook University. 


  Research Day 2019

1. Strictly Local Multi-Tape Transducers for Templatic Morphology by Hossep Dolatian & Jonathan Rawski, Linguistics
2. Complex Band Structure Examples by Christopher Degrendele & Jonathan Kazakov, Applied Mathematics & Statistics
3. Progra m Transformation for Automatic GPU-Offloading with OpenMP/Kernel Fusion/Decomposition for Automatic GPU-Offloading , by Alok Mishra, Computer Science
4. Fault Tolerance in OpenSHMEM by Delafrouz Mirfendereski, Computer Science
5. Using Computational Modeling to Understand Biological Processes/Amber ff14SB Force Field Parameters for Phosphorylated Amino Acids by Lauren Raguette, Chemistry
6. Mass-mobilization Emergence on Social Media Network Graphs
, by Martin Smyth, Technology & Society, Sociology
7. Experimental Comparison of Two Superconducting Quantum Computers  by Yulun Wang

8. ICE: Interactive Configuration Explorer for High Dimensional Parameter Spaces  by Anjul Tyagi, Computer Science
9. Learning with Partially Ordered Representations by Jonathan Rawski, Linguistics

10. GenA: A GPU Implemented Genetic Algorithm for Dihedral Parameterization  by Kellon  Belfon, Chemistry
11. Space-time Tradeoff in Parallel Computation  by Rathish Das Z& Sharmila Duppala,  Computer Science
12. Adaptive Numerical Solution of the Dirac Equation in MADNESS by Joel Anderson, IACS & Applied Mathematics & Statistics
13. Topology-Aware Parallel All-to-All Communication for HPC  by Shaohui Liu, Computer  Science
14.  Comprehensive Microstructure Characterization of Nuclear Material Databases; Insights  from Combined  Synchrotron  and Machine Learning Experiments by David Sprouster, Materials Science
15. NeuralXC: A Framework for Machine Learning Density Functionals  by Sebastian Dick, Physics & Astronomy
16.   Improving the Communication Performance of Hybrid Programming Models by Wenbin  Lu, Applied Mathematics & Statistics
17. A Self-improving Work-stealing Scheduler by Zafar Ahmad, Computer Science
18. Got Error? We've Got Your Back! Helping Developers Write Error-free Parallel Programs by Md. Abdullah Shahneous Bari  Sayket,  Sampath Kumar Kilaparthi , and Varun Hegde, Computer Science
19. The Role of Grain Boundaries and Surfaces on Irradiation Defect Evolution in Tungsten by Yang Zhang, Materials Science 
20. Conjugate Heat Transfer for Hypersonic Flows by Oliver Yang, Applied Mathematics & Statistics 
21.  Machine Learning Helps Extract Structure of Catalysts from their X-Ray Absorption Spectra  by Yang Liu &  Nicholas Marcella,  Materials Science  
22.    Interpretable Machine Learning Approach Reveals Gene Expression Biomarkers Predicting Cancer Patient Outcomes at Early Stages by Ting Jin, Biomedical Informatics
23. Atomistic Modeling of Grain Boundary Segregation Strengthening in Nanocrystalline Aluminum Alloys by Wenbo Wang, Materials Science
24. Adaptive Solution Transfer Between Non-matching Meshes for Coupling Climate Models by Qiao Chen, Xuebin Wang  and  Yipeng Li, Applied Mathematics & Statistics 
25. A Data-driven Deep-learning-based Framework for Characterization of Platelet Aggregation in Shear Flows from DIC Microscopy to Cloud Database  by Ziji Zhang, Applied Mathematics & Statistics
26. Quantum Machine Learning by Nhat Anh Nghiem Vu, IACS
27. De Novo Design Approaches to Drug Discovery Targeting Tsg101 and nSMase2 by Lauren Prentis, Biochemistry & Structural Biology
28. Resolution Effects on NaCI Potentials of Mean Force by Alec Wills, Physics and Astronomy