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Scott A Lathrop

Shodor Education Foundation, Inc.

Chemistry

National Geospatial Intelligence Research

(baxq)
Mar 2019 - Dec 2019

2020

Jennifer Houchins, Scott Lathrop, Robert Panoff, and Aaron Weeden (2020): Blue Waters Workforce Development: Delivering National Scale HPC Workforce Development, Journal of Computational Science Education, Shodor Education Foundation, Vol 11, Num 1, pp26-28
Robert L. Cieri and C. G. Farmer (2020): Computational Fluid Dynamics Reveals a Unique Net Unidirectional Pattern of Pulmonary Airflow in the Savannah Monitor Lizard (Varanus exanthematicus), Anatomical Record-Advances in Integrative Anatomy and Evolutionary Biology, American Association for Anatomy, Vol 303, Num 7, pp1768-1791
Elaad Applebaum, Alyson M. Brooks, Thomas R. Quinn, and Charlotte R. Christensen (2020): A Stochastically Sampled IMF Alters the Stellar Content of Simulated Dwarf Galaxies, Monthly Notices of the Royal Astronomical Society, The Royal Astronomical Society, Vol 492, Num 1, pp8-21
Joshua L. Lansford and Dionisios G. Vlachos (2020): Infrared spectroscopy data- and physics-driven machine learning for characterizing surface microstructure of complex materials, Nature Communications, Springer Nature Limited, Vol 11, Num 1, pp1513
Scott A. Lathrop, Katharine Cahill, Steven I. Gordon, Jennifer Houchins; Robert M. Panoff, and Aaron Weeden (2020): Preparing a Computationally Literate Workforce, Computing in Science & Engineering, Institute of Electrical & Electronics Engineers, Vol 22, Num 4, pp7-16

2019

K. Marsac and A. K. Navarre–Sitchler (2019): Extending the Longevity of Produced Water Disposal Wells: Evaluation Using Reactive Transport Modeling, (in preparation)
Ferah Munshi, Alyson M. Brooks, Charlotte Christensen, Elaad Applebaum, Kelly Holley-Bockelmann, Thomas R. Quinn, and James Wadsley (2019): Dancing in the Dark: Uncertainty in ultra-faint dwarf galaxy predictions from cosmological simulations, Astrophysical Journal, The American Astronomical Society, Vol 874, Num 1, pp40
Scott Lathrop, Celso Mendes, Jeremy Enos, Brett Bode, Gregory H. Bauer, Roberto Sisneros, and William Kramer (2019): Best Practices for Management and Operation of Large HPC Installations, Concurrency and Computation: Practice and Experience, John Wiley & Sons, Inc, Vol 31, Num 16 (Special Issue of the Cray User Group, CUG 2018), ppe5069, Stockholm, Sweden

2018

Gregory H. Bauer, Brett Bode, Jeremy Enos, William T. Kramer, Scott Lathrop, Celso L. Mendes, and Roberto R. Sisneros (2018): Best Practices and Lessons from Deploying and Operating a Sustained-Petascale System: The Blue Waters Experience, SC '18: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, pp53, Dallas, Texas, U.S.A.

2017

Katharine J. Cahill, Scott Lathrop, and Steven Gordon (2017): Building a Community of Practice to Prepare the HPC Workforce, Elsevier BV, Procedia Computer Science (17th annual International Conference on Computational Science, ICCS 2017), Vol 108, pp2131-2140, Zürich, Switzerland

2016

Scott Lathrop (2016): A Call to Action to Prepare the High-Performance Computing Workforce, Computing in Science & Engineering, Institute of Electrical and Electronics Engineers, Vol 18, Num 6, pp80-83

2019

Elaad Applebaum (2019): Star Formation in Dwarf Galaxies: Using Simulations to Identify Key Observables to Test Models, 2019 Blue Waters Annual Report, pp334-335
Shanna Chu (2019): Understanding the Physical Processes Causing Intermediate-Depth Earthquakes, 2019 Blue Waters Annual Report, pp361
Forrest Glines (2019): Magnetohydrodynamic Simulation: Galaxies, 2019 Blue Waters Annual Report, pp350-351
Alexander Gurvich (2019): GPU-Accelerated Interstellar Chemistry with WIND: A General Ordinary Differential Equation Solver, 2019 Blue Waters Annual Report, pp352-353
Joshua Lansford (2019): Electron Density-Based Machine Learning for Accelerating Quantum Calculations, 2019 Blue Waters Annual Report, pp356-357
Nicole Rosato (2019): Improved Trumpet Initial Lapse and Shift for Binary Black Hole Simulations, 2019 Blue Waters Annual Report, pp360
Micheline Soley (2019): Escaping From an Ultracold Inferno: The Ultracold KRb Dimer Reaction, 2019 Blue Waters Annual Report, pp362-363
Darius Teo (2019): Unraveling Functional Hole Hopping Pathways in the [Fe4S4]-Containing DNA Primase, 2019 Blue Waters Annual Report, pp366-367

Scott Lathrop, A. Weeden, R. Panoff, and J. Houchins: Blue Waters Workforce Development


International Conference on Computational Science (ICCS) 2019; Faro, Portugal, Jun 13, 2019

Scott Lathrop, A. Weeden, R. Panoff, and J. Houchins: Blue Waters Education, Outreach and Training lessons learned


Workshop on HPC Education and Training for Emerging Technologies at ISC High Performance 2019; Frankfurt, Germany, Jun 20, 2018

Research Using Supercomputers Aims to Understand Aviation Turbulence


Mar 31, 2020

While turbulence like this is common, there is still relatively little known about how to accurately predict and monitor it. Using high performance computing, however, Katelyn Barber, a former Blue Waters Graduate Fellow from the University of North Dakota, is working to make turbulence prediction more accurate, which could have implications for improved air travel in the future.


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Following the lizard lung labyrinth


Dec 13, 2019

In their latest study, biologists have discovered that Savannah monitor lizards have lung structures that are a kind of a hybrid system of bird and mammal lungs. The researchers took CT scans of the entire lung labyrinth and used two different supercomputers to simulate airflow patterns at the highest resolution. The software used computational fluid dynamics similar to those used to forecast weather, calculating millions of equations every tenth of a second. The findings show that vertebrate lung evolution is complicated and we have yet to understand the full picture.


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