Publications

Oldfield, R., Plimpton, S.J., Foulk, J.W., Poliakoff, D., & Sornborger, A. (2021). Memo regarding the Final Review of FY21 ASC L2 Milestone 7840: Neural Mini-Apps for Future Heterogeneous HPC Systems. 10.2172/1825628

Abdelfattah, A., Anzt, H., Ayala, A., Boman, E.G., Carson, E.C., Cayrols, S., Cojean, T., Dongarra, J.J., Falgout, R., Gates, M., G, R., Higham, N.J., Kruger, S.E., Li, S., Lindquist, N., Liu, Y., Loe, J.A., Nayak, P., Osei-Kuffuor, D., … Yang, U.M. (2021). Advances in Mixed Precision Algorithms: 2021 Edition. 10.2172/1814447

Gorodetsky, A.A., Jakeman, J.D., & Geraci, G. (2021). MFNets: data efficient all-at-once learning of multifidelity surrogates as directed networks of information sources. Computational Mechanics, 68(4). 10.1007/s00466-021-02042-0

Swiler, L.P., Basurto, E., Brooks, D.M., Eckert, A., Leone, R.C., Mariner, P., Portone, T., Foulk, J.W., & Stein, E. (2021). Uncertainty and Sensitivity Analysis Methods and Applications in the GDSA Framework (FY2021). 10.2172/1855018

Merrell, D.P., Robinson, A.C., & Sanchez, J.J. (2021). Statistical Distributions for Mesh Independent Solutions in ALEGRA. 10.2172/1813648

Cusentino, M.A., Wood, M.A., & Thompson, A.P. (2021). Development of SNAP Potentials for Fusion Reactor Materials [Conference Presentation]. 10.2172/1882069

Smith, C., Albash, T., Campbell, Q., & Baczewski, A.D. (2021). Neural Network Quantum Simulation [Conference Presentation]. 10.2172/1889560

Loe, J.A. (2021). Using Multiple Precisions in the GMRES Linear Solver [Presentation]. https://www.osti.gov/biblio/1884904

Hart, J.L., van Bloemen Waanders, B., & Saibaba, A.K. (2021). Randomized algorithms for generalized singular value decomposition with application to sensitivity analysis. Numerical Linear Algebra with Applications, 28(4). 10.1002/nla.2364

Hartland, T., Perego, M., & Petra, N. (2021). Inversion of the Humboldt Glacier Basal Friction Coefficient Field in an Uncertain Ice Sheet Model [Presentation]. https://www.osti.gov/biblio/1884051

Rackers, J.A. (2021). What can machine learning teach us about the limits of electron correlation? [Conference Presentation]. 10.2172/1884653

Ahmed, H., & Lofstead, G.F. (2021). Quantifying the Crisis in Reproducible Machine Learning [Conference Poster]. 10.2172/1883039

Moore, S.G. (2021). The State of the LAMMPS KOKKOS Package [Conference Presentation]. 10.2172/1888676

Voth, T.E., Granzow, B.N., Stagg, A.K., Bond, S.D., Hamlin, N.D., Martin, M.R., & Shulenburger, L. (2021). FLEXO: Development of a Portably Performant AMR Code for XMHD [Conference Presentation]. 10.2172/1881674

Shead, T.M., Gastelum, Z.N., & Rushdi, A. (2021). Synthetic Images for Machine Learning [Presentation]. https://www.osti.gov/biblio/1881667

Aitken, R., Nakahira, Y., Strachan, J.P., Bresniker, K., Young, I., Li, Z., Klebanoff, L.E., Burchard, C., Kumar, S., Marinella, M., Severa, W.M., Talin, A.A., Vineyard, C.M., Mailhiot, C., Dick, R., Lu, W., & Mogill, J. (2021). Energy Efficient Computing R&D Roadmap Outline for Automated Vehicles. 10.2172/1821804

Tarman, T.D., Swiler, L.P., Vugrin, E., Rollins, T., Cruz, G.J., Huang, H., Sahu, A., Wlazlo, P., Goulart, A., & Davis, K. (2021). Comparing reproduced cyber experimentation studies across different emulation testbeds [Conference Presentation]. 10.2172/1881645

Rackers, J.A. (2021). What is Machine Learning good for anyway? [Presentation]. https://www.osti.gov/biblio/1881684

Geronimo Anderson, S.I., Teranishi, K., Dunlavy, D.M., & Choi, J. (2021). Performance-Portable Sparse Tensor Decomposition Kernels on Emerging Parallel Architectures [Conference Paper]. https://www.osti.gov/biblio/1884665

Tranchida, J. (2021). Large-scale theroretical predictions of pressure and temperature ramps in iron [Conference Presentation]. 10.2172/1888143

Jacobson, N.T., & Young, S.M. (2021). Sandia/Princeton collaboration: Multivalley effective mass theory modeling of Princeton SiGe devices [Conference Presentation]. 10.2172/1882099

Moore, S.G. (2021). Overview of Molecular Dynamics [Conference Presentation]. 10.2172/1882348

Chance, F.S. (2021). Lessons from α Dragon Fly's Brain: Evolution Built a Small, Fast, Efficient Neural Network in a Dragonfly. Why Not Copy It for Missile Defense?. IEEE Spectrum, 58(8). 10.1109/mspec.2021.9502906

Magann, A.B. (2021). Designing quantum controls efficiently [Presentation]. https://www.osti.gov/biblio/1890882

Abubaker, N., Acer, S., & Aykanat, C. (2021). True Load Balancing for Matricized Tensor Times Khatri-Rao Product. IEEE Transactions on Parallel and Distributed Systems, 32(8), pp. 1974-1986. 10.1109/tpds.2021.3053836

Swiler, L.P., Brooks, D.M., Stein, E., Rohlig, K., Plischke, E., Becker, D., Spiessl, S.M., Koskinen, L., Govaerts, J., Svitelman, V., & Elena, S. (2021). Metamodelling sensitivity approaches versus regression and graphical methods on the basis of Geologic Cases: An International Collaboration [Conference Presentation]. 10.2172/1884666

Berry, J., Phillips, C.A., & Porter, A. (2021). Maintaining Connected Components in Infinite Graph Streams [Presentation]. 10.1145/2501221.2501234

Cyr, E.C., Guenther, S., Ruthotto, L., Schroder, J.B., Gauger, N.R., Moon, G., & Patel, R. (2021). A Layer-Parallel Approach for Training Deep Neural Networks [Conference Presentation]. 10.2172/1881678

Silling, S. (2021). Calibrating a Peridynamic Material Model with Molecular Dynamics [Conference Presentation]. 10.2172/1883458

Eldred, C., & Gay-Balmaz, F. (2021). Thermodynamically consistent semi-compressible fluids: A variational perspective. Journal of Physics A: Mathematical and Theoretical, 54(34). 10.1088/1751-8121/ac1384

Rackers, J.A. (2021). What can you do with a polarizable force field? [Conference Presentation]. 10.2172/1884423

Jacobson, N.T., & Albrecht, D.J. (2021). NoMoPy: Noise Modeling in Python [Conference Presentation]. 10.2172/1882098

Xiao, T.P., Feinberg, B., Bennett, C., Agarwal, S., & Marinella, M. (2021). Designing Accurate and Robust Analog Accelerators for Neural Networks and Linear Algebra [Presentation]. https://www.osti.gov/biblio/1882297

Trask, N.A. (2021). A data-driven exterior calculus for model discovery [Conference Presentation]. 10.2172/1882073

Wood, M.A., Thompson, A.P., Cusentino, M.A., de Zapiain, D.M., & Oleynik, I. (2021). Interatomic Potentials for Materials Science and Beyond; Advances in Machine Learned Spectral Neighborhood Analysis Potentials [Conference Presentation]. 10.2172/1883516

D'Elia, M., Silling, S., Yu, Y., & You, H. (2021). A data-driven peridynamic continuum model for upscaling molecular dynamics. 10.2172/1821529

Plimpton, S.J. (2021). How to modify LAMMPS [Conference Presentation]. 10.2172/1888427

Acer, S., Boman, E.G., Glusa, C., & Rajamanickam, S. (2021). Sphynx: a parallel multi-GPU graph partitioner [Conference Presentation]. 10.2172/1882077

Gastelum, Z.N., Shead, T.M., & Rushdi, A. (2021). A Safeguards-Informed Image Dataset for Computer Vision R&D [Conference Presentation]. 10.2172/1888462

Raybourn, E.M., Milewicz, R.M., Rogers, D.M., Sims, B., Watson, G., Gonsiorowski, E., & Willenbring, J.M. (2021). A Data-driven Approach to Rethinking Open Source Software Organizations as a Team of Teams [Conference Proceeding]. https://www.osti.gov/biblio/1881691

Myers, J.M., & Dunlavy, D.M. (2021). Using Computation Effectively for Scalable Poisson Tensor Factorization: Comparing Methods Beyond Computational Efficiency [Conference Paper]. 10.1109/HPEC49654.2021.9622795

Harvey-Thompson, A.J., Geissel, M., Crabtree, J.A., Weis, M.R., Gomez, M.R., Fein, J.R., Ampleford, D.J., Awe, T.J., Chandler, G.A., Galloway, B.R., Hansen, S.B., Hanson, J., Harding, E.C., Jennings, C.A., Kimmel, M., Knapp, P.F., Lamppa, D.C., Foulk, J.W., Mangan, M.A., … Smith, G.E. (2021). Increased preheat energy to MagLIF targets with cryogenic cooling [Conference Presentation]. 10.2172/1888953

Poliakoff, D. (2021). Kokkos Tools [Presentation]. https://www.osti.gov/biblio/1888126

Raybourn, E.M., Watson, G., Gonsiorowski, E., Milewicz, R.M., Rogers, D.M., Sims, B., & Willenbring, J.M. (2021). Automating Software Productivity Planning: Lightweight Tools for Upgrading Team Practices [Conference Proceeding]. https://www.osti.gov/biblio/1884442

Ibanez-Granados, D.A. (2021). Better Package Management [Presentation]. https://www.osti.gov/biblio/1883461

Loe, J.A. (2021). An Introduction to Trilinos [Presentation]. https://www.osti.gov/biblio/1884905

Wood, M.A. (2021). LAMMPS Users Meeting 2021: Visualization Tutorial [Conference Presentation]. 10.2172/1891069

Szalek, N., Gardelle, J., Grua, P., Hebert, D., Moore, C.H., Medina, B., Swan, M.S., & Cartwright, K. (2021). EXPERIMENTAL STUDIES OF ELECTRON BEAM PROPAGATION IN ARGON [Conference Presentation]. 10.2172/1883493

Gao, X., Mendez Granado, J.P., Lu, T.M., Anderson, E.M., Campbell, D.M., Ivie, J.A., Schmucker, S.W., Grine, A., Lu, P., Tracy, L.A., Arghavani, R., & Misra, S. (2021). Modeling and Assessment of Atomic Precision Advanced Manufacturing (APAM) Enabled Vertical Tunneling Field Effect Transistor [Conference Paper]. 10.1109/SISPAD54002.2021.9592578

Foulk, J.W., Schleife, A., Kononov, A., Hansen, S.B., & Baczewski, A.D. (2021). Optical Properties of Be at High Temperatures from First Principles [Presentation]. https://www.osti.gov/biblio/1884067