SC20 Virtual Exhibit Materials
High Performance Research Computing will showcase research from Texas A&M University during the International Conference for High Performance Computing, Networking, Storage and Analysis (SC20), November 17-19, 2020, with posters and slides.
Texas A&M University (Team Ag-Jag Cluster) participates SC20 Virtual Student Cluster Competition, which is held on Nov 8-11, 2020.
SC20 Giveaways
Entry for SC20 random drawing has been closed at 3 PM EST, Nov 19, 2020. The winners will be contacted via email by the week of Nov 23.
Visitors please send your comments or feedbacks to help@hprc.tamu.edu.
Grace - the new HPC cluster
Grace ranks #134 on the Nov 2020 Top 500 list.
A More Powerful Supercomputer For Texas A&M Research Is Coming Soon
HPCwire: Texas A&M Announces Flagship ‘Grace’ Supercomputer
NVIDIA Blog: Texas A&M Launching Grace Supercomputer for up to 20x Boost
FASTER - the upcoming HPC cluster
NSF Grant Supports Texas A&M’s Acquisition Of High Performance Computing Platform
Texas A&M lands grant for next-generation supercomputer to aid in research
Posters
A regional ocean forecast-hindcast system for the Texas-Louisiana shelf contributing to rapid oil spill responses and oceanographic research
Daijiro Kobashi 1, Robert Hetland 1, Kristen Thyng 1, Martinho Marta-Almeida 2, Steve Baum 1
1. Department of Oceanography, Texas A&M University
2. Universidade de Vigo, IEO, Spain
Molecular Dynamics simulation of high strain rate nanoindentation
T. Duong and M.J. Demkowicz
Department of Materials Science and Engineering, Texas A&M University
Generation of Synthetic Data using a FRAM-based Model and Identification of Hazards of Complex System using Association Rule Mining
Mengxi Yu 1,2 , Noor Quddus 1 , Costas Kravaris 2 , and M. Sam Mannan 1,2
1. Mary Kay O’Connor Process Safety Center
2. Artie McFerrin Department of Chemical Engineering, Texas A&M University
Contact interactions and layer stability of multilayered metals during cold roll bonding
L. V. Semenchenko , U. B. Asim , M. J. Demkowicz
Department of Materials Science and Engineering, Texas A&M University
Modelling the Effect of Helium bubbles, Rigid Inclusions and Grain Boundaries on Crack Initiation in Nickel
Tung Yan Liu, Michael J. Demkowicz
Department of Materials Science and Engineering, Texas A&M University
Application of High Performance Research Computing to Parametric Design of Magnetic Gears Using a Genetic Algorithm
Bryton Praslicka 1, Matthew C. Gardner 2, and Hamid A. Toliyat 1
1. Advanced Electric Machines & Power Electronics Lab, Texas A&M University
2. Electric Powertrains Lab, University of Texas at Dallas
Slides
High Performance Computation-based Phase Field Simulation of Metal Layer Retraction
Zirui Mao, Michael J. Demkowicz
Department of Materials Science and Engineering, Texas A&M University
Synergism between Theory and Experiments
Andreas Ehnbom
Laboratory for Molecular Simulation, Texas A&M University
Finding Negative Vacancy Formation Energies in Amorphous Silicon
Mack Cleveland, with collaborators: Dr. Michael Demkowicz, Dr. Peng Chen
Department of Materials Science and Engineering, Texas A&M University
Crack healing induced by collision cascades in Nickel
Peng Chen, Michael J. Demkowicz
Department of Materials Science and Engineering, Texas A&M University
Using computational methods to study, engineer and design
Phanourios Tamamis
Artie Mcferrin Department of Chemical Engineering, Texas A&M University
A Julia-based Parallel Simulator for the Description of the Coupled Flow, Thermal and Geological Processes in Hydrate-bearing Geologic Media
Kotaro ANNO, Harold Vance
Department of Petroleum Engineering, Texas A&M University
Machine Learning-Informed Numerical Weather Prediction
Troy Arcomano 1, Istvan Szunyogh 2
1. Department of Atmospheric Sciences, Texas A&M University
2. Department of Meteorology, Texas A&M University
Development and Testing of Structurally Independent Foundations for a 54” Tall High-Speed Containment Single Slope Concrete Barrier
Sofokli Cakalli, Nauman Sheikh, James Kovar, Roger Bligh, Taya Retterer and Jon Ries
Texas A&M Transportation Institute
L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
Department of Electrical Engineering, Texas A&M University
When Does Self-Supervision Help Graph Convolutional Networks?
Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
Department of Electrical Engineering, Texas A&M University
Videos
Normalized surface vorticity, coastal ocean off Texas and Louisiana, 2010
Daijiro Kobashi
Department of Oceanography, Texas A&M University
The 2-minute movie shows vorticity (vortices or eddies, swirling motions in the ocean). Where you see a red circle with blue shaded color inside, that is an eddy and you can see there are lots of them with their size smaller than larger eddies we can typically see in the ocean. We are investigating these small eddies (we call them sub-mesoscale eddies). The project has been funded by NSF (and Texas General Land Office in the past). Due to their small sizes, I have developed a high-resolution model nested into a coarser resolution model. You see the box in the movie, which is the boundary of the high-resolution model. You can see a much detailed structure of eddies inside the high-resolution domain.
Using computational methods to study, engineer and design (slide show with animation)
Phanourios Tamamis
Artie Mcferrin Department of Chemical Engineering, Texas A&M University
Development and Testing of Structurally Independent Foundations for a 54” Tall High-Speed Containment Single Slope Concrete Barrier (slide show with animation)
Sofokli Cakalli, Nauman Sheikh, James Kovar, Roger Bligh, Taya Retterer and Jon Ries
Texas A&M Transportation Institute
FUTURE MARS ROVERS IN ICELAND | Beyond Texas 360° VR
Viral Video to Ph.D | Christine Figgener '19