Posters 2019
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. Program 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
