Publications

Cardwell, S.G., Aimone, J.B., & Aimone, J.B. (2020). Truly heterogeneous HPC: Co-design to achieve what science needs from HPC [Conference Poster]. https://www.osti.gov/biblio/1818046

Willenbring, J.M., Heroux, M.A., Bernholdt, D., & Bernholdt, D. (2020). Agile Methodologies [Presentation]. https://www.osti.gov/biblio/1812857

Marques, O.E., Milewicz, R.M., Raybourn, E.M., & Raybourn, E.M. (2020). Scientific Software Development with User Stories and Progress Tracking Cards [Conference Poster]. https://www.osti.gov/biblio/1818019

Cardwell, S.G. (2020). Neuromorphic Computing: Towards Extremely Heterogeneous HPC [Conference Poster]. https://www.osti.gov/biblio/1813721

Trott, C.R., Miles, J.S., & Miles, J.S. (2020). The Kokkos Lectures - Module 4: Hierarchical Parallelism and Unique Token [Presentation]. https://www.osti.gov/biblio/1813283

Yamazaki, I., Rajamanickam, S., Ellingwood, N.D., & Ellingwood, N.D. (2020). Performance Portable Supernode-based Sparse Triangular Solver for Manycore Architecture [Conference Poster]. https://www.osti.gov/biblio/1814123

Aaziz, O., Cook, J., Vaughan, C.T., Jeffery, K., & Jeffery, K. (2020). Validating Communication Similarity between Proxy and Parent Applications through Network Performance Characterization [Presentation]. https://www.osti.gov/biblio/1812468

Hallgren, S., Lee, E., Parekh, O., & Parekh, O. (2020). An approximation algorithm for the MAX-2-local hamiltonian problem [Conference Poster]. Leibniz International Proceedings in Informatics, LIPIcs. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85091272313&origin=inward

Roberds, N.A., Beckwith, K., Bettencourt, M.T., & Bettencourt, M.T. (2020). New inflow boundary conditions for relativistic and Newtonian fluids [Conference Poster]. https://www.osti.gov/biblio/1812450

Severa, W., Dellana, R., Vineyard, C.M., & Vineyard, C.M. (2020). Effective Pruning of Binary Activation Neural Networks [Conference Poster]. ACM International Conference Proceeding Series. https://doi.org/10.1145/3407197.3407201

Chance, F.S. (2020). Interception from a Dragonfly Neural Network Model [Conference Poster]. ACM International Conference Proceeding Series. https://doi.org/10.1145/3407197.3407218

Smith, J.D., Severa, W., Hill, A., Reeder, L., Franke, B., Lehoucq, R.B., Parekh, O., Aimone, J.B., & Aimone, J.B. (2020). Solving a steady-state PDE using spiking networks and neuromorphic hardware [Conference Poster]. ACM International Conference Proceeding Series. https://doi.org/10.1145/3407197.3407202

Dipietro, K.L., Paquin-Lefebvre, F., Xubin, B., Lindsay, A.E., Jilkine, A., & Jilkine, A. (2020). Pattern formation in a coupled membrane-bulk reaction-diffusion model for intracellular polarization and oscillations. Journal of Theoretical Biology, 497(C). https://doi.org/10.1016/j.jtbi.2020.110242

Betancur-Peacock, J.H., Kuberry, P., & Kuberry, P. (2020). Data-Driven Agile Modeling Approach for Rapid Assessments of Electrical Designs [Conference Poster]. https://www.osti.gov/biblio/1812156

Aimone, J.B., Ho, Y., Parekh, O., Phillips, C.A., Pinar, A., Severa, W., Wang, Y., & Wang, Y. (2020). Brief Announcement: Provable neuromorphic advantages for computing constrained shortest paths [Conference Poster]. https://www.osti.gov/biblio/1808434

Derosa, S., Finley, P.D., Finley, M., Beyeler, W.E., Krofcheck, D.J., Frazier, C.R., Swiler, L.P., Portone, T., Bachman, W.B., Austin, P., Levin, D., Bachman, W.B., Tremba, K.D., Makvandi, M., Hammer, A.E., Davis, C.E., & Davis, C.E. (2020). COVID-19 Medical Resource Demands [Presentation]. https://www.osti.gov/biblio/1807655

Ellis, J.A. (2020). Accelerating Multiscale Materials Modeling with Machine Learning [Presentation]. https://www.osti.gov/biblio/1808782

Gulian, M., Cyr, E.C., Patel, R., Perego, M., Trask, N.A., & Trask, N.A. (2020). Robust training and initialization of deep neural networks: an adaptive basis viewpoint [Conference Poster]. https://www.osti.gov/biblio/1808257

Wilches-Bernal, F., Knueven, B., Staid, A., Watson, J., & Watson, J. (2020). Presentation: Models and Analysis of Fuel Switching Generation Impacts on Power System Resilience [Conference Poster]. https://www.osti.gov/biblio/1808437

Frye, J.R. (2020). Module Systems and Developer Productivity [Conference Poster]. https://www.osti.gov/biblio/1807185

Cannon, M.J., Rodrigues, A., Black, D.A., Black, J.D., Bustamante, L., Feinberg, B., Clark, L., Brunhaver, J., Barnaby, H., Agarwal, S., Marinella, M., & Marinella, M. (2020). Multiscale Modeling of Single Event-Induced Faults in FinFET-based Processors [Conference Poster]. https://www.osti.gov/biblio/1810050

Popoola, G.A. (2020). In-Situ Machine Learning for Intelligent Data Capture for Exascale Platforms [Conference Poster]. https://www.osti.gov/biblio/1811989

Trott, C.R. (2020). The Kokkos EcoSystem [Presentation]. https://www.osti.gov/biblio/1811822

Cyr, E.C., Guenther, S., Ruthotto, L., Schroder, J.B., Gauger, N.R., Ridzal, D., & Ridzal, D. (2020). A Layer-Parallel Approach for Training Deep Neural Networks [Presentation]. https://www.osti.gov/biblio/1812174

Ebeida, M. (2020). VoroCrust: Voronoi Meshing without clipping [Conference Poster]. https://www.osti.gov/biblio/1809217

Heidbrink, S., Dunlavy, D.M., Rodhouse, K.N., & Rodhouse, K.N. (2020). Multimodal Deep Learning for Flaw Detection in Software Programs [Presentation]. https://www.osti.gov/biblio/1811608

Hu, J.J., Glusa, C., & Glusa, C. (2020). One slide overviews of the Belos and MueLu Libraries in Trilinos [Presentation]. https://www.osti.gov/biblio/1810699

Trott, C.R. (2020). The Kokkos Lectures - Module 1: Introduction Building and Parallel Dispatch [Presentation]. https://www.osti.gov/biblio/1809202

Sweitzer, M.D., Kittinger, R., Doyle, C.L., Naugle, A.B., Lakkaraju, K., Rothganger, F., Verzi, S.J., & Verzi, S.J. (2020). Communicative Vibration: A Graph-Theoretic Approach to Group Stability in an Online Social Network [Conference Poster]. https://www.osti.gov/biblio/1811443

Miller, S., Roberts, N.V., Cyr, E.C., & Cyr, E.C. (2020). Machine Learning for Accelerating Direct-Simulation Monte-Carlo Collision Operators [Conference Poster]. https://www.osti.gov/biblio/1811433

Anwar, A., Cardwell, S.G., Musuvathy, S., Severa, W., Vineyard, C.M., & Vineyard, C.M. (2020). Evolving Spiking Circuit Motifs Using Weight Agnostic Neural Networks [Conference Poster]. https://www.osti.gov/biblio/1808779

Dunlavy, D.M. (2020). Tensor Decompositions for Analyzing Multi-Way Data [Presentation]. https://www.osti.gov/biblio/1809204

Frank, M.P. (2020). Priority Research Challenges in the Physics and Engineering of Classical Reversible Computing Systems [Conference Poster]. https://www.osti.gov/biblio/1811970

Specht, P.E., Adams, D.P., Mitchell, J.A., Brown, J.L., Branch, B.A., Silling, S.A., Wise, J.L., Brown, D., Palmer, T., & Palmer, T. (2020). Response of Wrought and Additively Manufactured 304L Stainless Steel at Mbar Stresses [Presentation]. https://www.osti.gov/biblio/1812161

Berger-Vergiat, L., Sprague, M., Ananthan, S., Brazell, M., Vijayakumar, G., Thomas, S., & Thomas, S. (2020). ExaWind Open-Source Computational Fluid Dynamics for Wind Turbines and Wind Plants [Conference Poster]. https://www.osti.gov/biblio/1808260

Severa, W., Dellana, R., Vineyard, C.M., & Vineyard, C.M. (2020). Effective Pruning of Binary Activation Networks [Conference Poster]. https://doi.org/10.1145/3407197.3407201

Thompson, A.P. (2020). Machine-Learning Potentials: The Unreasonable Effectiveness of Linear Cluster Expansions [Conference Poster]. https://www.osti.gov/biblio/1811808

Voth, T.E., Beckwith, K., Bond, S.D., Granzow, B.N., Hamlin, N.D., Hanshaw, H., Hansen, G., Jennings, C.A., Love, E., Martin, M.R., Shulenburger, L., Stagg, A.K., & Stagg, A.K. (2020). FLEXO Development Activities [Conference Poster]. https://www.osti.gov/biblio/1812279

Gao, X., Mamaluy, D., Lepkowski, W., Young, S.M., & Young, S.M. (2020). FAIR DEAL GC Thrust 2: APAM Modeling [Presentation]. https://www.osti.gov/biblio/1808429

Bachman, W.B., Eldred, M., Wang, Y., McCann, S., & McCann, S. (2020). srMO-BO-3GP: A sequential regularized multi-objective constrained Bayesian optimization for design applications [Conference Poster]. https://doi.org/10.1115/DETC2020-22184

Trask, N.A. (2020). Physics-informed graph neural netsA unification of NN architectures with mimetic PDE discretization [Conference Poster]. https://www.osti.gov/biblio/1808025

Gulian, M., Swiler, L.P., Frankel, A., Jakeman, J.D., Safta, C., & Safta, C. (2020). A Survey of Constrained Gaussian Process Regression: Approaches and Implementation Challenges [Conference Poster]. https://www.osti.gov/biblio/1812282

Mikhailenko, D., Nakamoto, Y., Feinberg, B., Ipek, E., & Ipek, E. (2020). Adapting in Situ Accelerators for Sparsity with Granular Matrix Reordering. IEEE Computer Architecture Letters, 19(2), pp. 143-146. https://doi.org/10.1109/lca.2020.3031907

Trott, C.R. (2020). The Kokkos Lectures: Module 2 Views and Spaces [Presentation]. https://www.osti.gov/biblio/1810702

Moon, G.E., Ellis, J.A., Sukumaran-Rajam, A., Parthasarathy, S., Sadayappan, P., & Sadayappan, P. (2020). ALO-NMF: Accelerated Locality-Optimized Non-negative Matrix Factorization [Conference Poster]. https://www.osti.gov/biblio/1808262

Anderson, E.M., de Campbell, A., Maurer, L.N., Baczewski, A.D., Marshall, M., Lu, T., Lu, P., Tracy, L.A., Schmucker, S.W., Ward, D.R., Misra, S., & Misra, S. (2020). Low thermal budget high-k/metal surface gate for buried donor-based devices. JPhys Materials, 3(3). https://doi.org/10.1088/2515-7639/ab953b

Hamlin, N.D., Robinson, A.C., & Robinson, A.C. (2020). Uncertainty Quantification Analysis in Planar MITL Modeling [Conference Poster]. https://www.osti.gov/biblio/1812163

Thorpe, J., Sahakian, M., Musuvathy, S., Verzi, S.J., Dykstra, M., Vugrin, E., & Vugrin, E. (2020). Threat Data Generation for a More Resilient Response [Conference Poster]. https://www.osti.gov/biblio/1811432

Smith, T.M., Beckwith, K., Hamlin, N.D., Roberds, N.A., & Roberds, N.A. (2020). Verification of EMPIRE Plasma Physics Codes [Conference Poster]. https://www.osti.gov/biblio/1812286

Younge, A.J. (2020). Containers in HPC: Testbeds Production and Towards Exascale [Presentation]. https://www.osti.gov/biblio/1811248

Naugle, A.B., Rothganger, F., Verzi, S.J., & Verzi, S.J. (2020). Conflicting Information and Compliance With COVID-19 Stay-At-Home Orders [Conference Poster]. https://www.osti.gov/biblio/1811614

Rushdi, A. (2020). Estimating Predictive Uncertainty in Scientific Machine Learning: A Library of Methods and Test Problems [Presentation]. https://www.osti.gov/biblio/1811971

Carroll, E.R., Murdock, J.M., & Murdock, J.M. (2020). SRP: Assessing Model Credibility Demo-2 [Presentation]. https://www.osti.gov/biblio/1811621

Granzow, B.N., Oberai, A.A., Shephard, M.S., & Shephard, M.S. (2020). An automated approach for parallel adjoint-based error estimation and mesh adaptation. Engineering with Computers, 36(3), pp. 1169-1188. https://doi.org/10.1007/s00366-019-00890-2

Moreland, K. (2020). ECP Milestone Highlights WBS 2.3.4.13 ECP/VTK-m FY20Q3 STDA05-53 [Presentation]. https://www.osti.gov/biblio/1810267

Trott, C.R. (2020). The Kokkos Lectures: Module 3 [Presentation]. https://www.osti.gov/biblio/1812280

Sockwell, K.C. (2020). Mass?Conserving Hamiltonian?Structure-Preserving ReducedOrder Modeling for the Rotating Shallow Water Equations [Conference Poster]. https://www.osti.gov/biblio/1807193

Rajamanickam, S. (2020). Recent experiences withMachine Learning Perspectives fromAlgorithms Architectures and Applications [Presentation]. https://www.osti.gov/biblio/1812175

Fleeter, C.M., Geraci, G., Schiavazzi, D.E., Kahn, A.M., Marsden, A.L., & Marsden, A.L. (2020). Multilevel and multifidelity uncertainty quantification for cardiovascular hemodynamics. Computer Methods in Applied Mechanics and Engineering, 365(C). https://doi.org/10.1016/j.cma.2020.113030

Pandey, P., Singh, S., Bender, M.A., Berry, J., Farach-Colton, M., Johnson, R., Kroeger, T., Phillips, C.A., & Phillips, C.A. (2020). Timely Reporting of Heavy Hitters using External Memory [Conference Poster]. Proceedings of the ACM SIGMOD International Conference on Management of Data. https://doi.org/10.1145/3318464.3380598

Younge, A.J. (2020). HPC Container Runtimes: A Quick Primer [Conference Poster]. https://www.osti.gov/biblio/1804615

Bochev, P. (2020). Data driven photocurrent models [Presentation]. https://www.osti.gov/biblio/1804988

Bisila, J.D., Dunlavy, D.M., Gastelum, Z.N., Ulmer, C.D., & Ulmer, C.D. (2020). TOPIC MODELING WITH NATURAL LANGUAGE PROCESSING FOR IDENTIFICATION OF NUCLEAR PROLIFERATION-RELEVANT SCIENTIFIC AND TECHNICAL PUBLICATIONS [Conference Poster]. https://www.osti.gov/biblio/1807413

Willenbring, J.M., Milewicz, R.M., & Milewicz, R.M. (2020). Moving Forward Together: How a Software Engineering Department Can Impact Developer Productivity in a Research Organization [Conference Poster]. https://www.osti.gov/biblio/1806263

Bartlett, R., Harvey, E.C., Frye, J.R., & Frye, J.R. (2020). Improved productivity through standardized configurations and testing of Trilinos on advanced platforms [Conference Poster]. https://www.osti.gov/biblio/1806269

Milewicz, R.M. (2020). Towards Evidence-Based Practice in Scientific Software Development [Conference Poster]. https://www.osti.gov/biblio/1805340

Robbins, J. (2020). Inverting the design process with shape and topology optimization [Presentation]. https://www.osti.gov/biblio/1798065

Levine, A.L., Willenbring, J.M., & Willenbring, J.M. (2020). Navigating the Rapids: Creating a Continuous Integration System for Github and Jenkins [Conference Poster]. https://www.osti.gov/biblio/1805336

Gastelum, Z.N., Shead, T.M., & Shead, T.M. (2020). Synthetic Training Images for Real-World Object Detection [Conference Poster]. https://www.osti.gov/biblio/1804625

Chance, F.S. (2020). Dragonfly-Inspired Interception [Presentation]. https://www.osti.gov/biblio/1807436

Ellingwood, N.D., Rajamanickam, S., & Rajamanickam, S. (2020). Practices and Challenges of Software Development for a Performance Portable Ecosystem [Conference Poster]. https://www.osti.gov/biblio/1805332

Hillman, B.R., Caldwell, P., Salinger, A.G., Bertagna, L., Beydoun, H., Peter, B., Bradley, A.M., Donahue, A., Eldred, C., Foucar, J.G., Golaz, C., Guba, O., Jacob, R., Johnson, J., Keen, N., Krishna, J., Lin, W., Liu, W., Pressel, K., … Yuan, X. (2020). SCREAM: a performance-portable global cloud-resolving model based on the Energy Exascale Earth System Model [Conference Poster]. https://www.osti.gov/biblio/1807360

Trott, C.R. (2020). FreeFunctionBlas-LEWG [Presentation]. https://www.osti.gov/biblio/1807410

Younge, A.J. (2020). Containers and the Future of Supercomputing [Conference Poster]. https://www.osti.gov/biblio/1804616

Chow, M.N.H., Little, B.J., Parazzoli, L.P., Brif, C., Ruzic, B., Biedermann, G., & Biedermann, G. (2020). Entanglement Enhanced Matterwave Interferometry [Conference Poster]. https://www.osti.gov/biblio/1787184

Mabuza, S., Shadid, J.N., Cyr, E.C., Pawlowski, R., Kuzmin, D., & Kuzmin, D. (2020). A linearity preserving nodal variation limiting algorithm for continuous Galerkin discretization of ideal MHD equations. Journal of Computational Physics, 410(C). https://doi.org/10.1016/j.jcp.2020.109390

Ellis, J.A., Rajamanickam, S., & Rajamanickam, S. (2020). Scalable Inference for Sparse Deep Neural Networks using Kokkos Kernels [Conference Poster]. https://doi.org/10.1109/HPEC.2019.8916378

Younge, A.J. (2020). Supercomputing with Containers: Practice Experiences and Tupperware [Presentation]. https://www.osti.gov/biblio/1807338

Myers, J.M., Dunlavy, D.M., Teranishi, K., Hollman, D.S., & Hollman, D.S. (2020). Parameter Sensitivity Analysis of the SparTen High Performance Sparse Tensor Decomposition Software [Conference Poster]. https://www.osti.gov/biblio/1798424

Cardwell, S.G. (2020). Truly heterogeneous HPC: Co-design to achieve what science needs from HPC [Conference Poster]. https://www.osti.gov/biblio/1807429

Siefert, C., Bachman, W.B., & Bachman, W.B. (2020). Case Study: Debugging Other People?s Libraries via PRELOAD [Conference Poster]. https://www.osti.gov/biblio/1807408

Trask, N.A. (2020). Physics-informed graph neural nets (pigNNS) A unification of NN architectures with mimetic PDE discretization [Presentation]. https://www.osti.gov/biblio/1798063

Gates, J.M., Milewicz, R.M., Frye, J.R., Perschbacher, B.M., Vigil, D., & Vigil, D. (2020). Git Productive! [Conference Poster]. https://www.osti.gov/biblio/1805339

Cardwell, S.G. (2020). Neuromorphic Hardware and Architectures [Presentation]. https://www.osti.gov/biblio/1807440

Bisila, J.D., Dunlavy, D.M., Gastelum, Z.N., Ulmer, C.D., & Ulmer, C.D. (2020). TOPIC MODELING WITH NATURAL LANGUAGE PROCESSING FOR IDENTIFICATION OF NUCLEAR PROLIFERATION-RELEVANT SCIENTIFIC AND TECHNICAL PUBLICATIONS [Conference Poster]. https://www.osti.gov/biblio/1805335

Fekete, S.P., Hill, A., Krupke, D., Mayer, T., Mitchell, J.S.B., Parekh, O., Phillips, C.A., & Phillips, C.A. (2020). Probing a Set of Trajectories to Maximize Captured Information [Conference Poster]. Leibniz International Proceedings in Informatics, LIPIcs. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85088166178&origin=inward

Feinberg, B., Heyman, B., Mikhailenko, D., Wong, R.M., Ho, A., Ipek, E., & Ipek, E. (2020). Commutative Data Reordering: A New Technique to Reduce Data Movement Energy on Sparse Inference Workloads [Conference Poster]. https://www.osti.gov/biblio/1787444

Diaz, C.P., Dickinson, J., Echeverria, V.T., Fenger, J., Ganti, A., Hietala, V.M., Newton, B.D., Onunkwo, U., Scoggin, M., & Scoggin, M. (2020). Accelerating Large-Scale Wireless Simulations in ns-3 using Spatial Indexing and Clipping [Conference Poster]. https://www.osti.gov/biblio/1807371

Gastelum, Z.N., Shead, T.M., Bachman, W.B., & Bachman, W.B. (2020). Synthetic Training Images for Real-World Object Detection [Conference Poster]. https://www.osti.gov/biblio/1807426

Ceccon, F., Siirola, J.D., Misener, R., & Misener, R. (2020). SUSPECT: MINLP special structure detector for Pyomo. Optimization Letters, 14(4), pp. 801-814. https://doi.org/10.1007/s11590-019-01396-y

Powell, A.J., Roesler, E.L., Davis, W.L., Tezaur, I.K., Peterson, K., & Peterson, K. (2020). Using Ultra-Low Resolution E3SM Simulations to Predict Sea Ice ? Free Summers and to Elucidate the Role of Arctic Sea Ice in Polar Amplification [Conference Poster]. https://www.osti.gov/biblio/1807356

Ellis, J.A., Rajamanickam, S., & Rajamanickam, S. (2020). Accelerating Multiscale Materials Modeling with Machine Learning [Presentation]. https://www.osti.gov/biblio/1787726

Swiler, L.P., Portone, T., & Portone, T. (2020). Uncertainty Analysis of a COVID-19 Medical Resource Model [Presentation]. https://www.osti.gov/biblio/1807392

Nichol, J.J., Peterson, M.G., Peterson, K., Stracuzzi, D.J., Fricke, M., & Fricke, M. (2020). Machine Learning to Compare Arctic Simulations With Observed Data [Conference Poster]. https://www.osti.gov/biblio/1807391

Yamazaki, I., Rajamanickam, S., Ellingwood, N.D., & Ellingwood, N.D. (2020). Supernode-based Sparse Triangular Solver using Kokkos [Conference Poster]. https://www.osti.gov/biblio/1804644

Grant, R. (2020). PowerAPI: A Standardized Interface to Power/Energy Monitoring and Control [Conference Poster]. https://www.osti.gov/biblio/1798421

Teranishi, K., Dunlavy, D.M., Myers, J.M., Barrett, R.F., & Barrett, R.F. (2020). SparTen: Leveraging Kokkos for On-node Parallelism in a Second-Order Method for Fitting Canonical Polyadic Tensor Models to Poisson Data [Conference Poster]. https://www.osti.gov/biblio/1798425

Mundt, M.R., Levine, A.L., Siirola, J.D., & Siirola, J.D. (2020). Overcoming Productivity Plateaus: A Story of Automation Tools and Developer Productivity [Conference Poster]. https://www.osti.gov/biblio/1805337

Cyr, E.C., Guenther, S., Ruthotto, L., Schroder, J.B., Gauger, N.R., & Gauger, N.R. (2020). Layer-Parallel Training: Nested Iteration [Conference Poster]. https://www.osti.gov/biblio/1807445

Anwar, A., Cardwell, S.G., Musuvathy, S., Severa, W., Vineyard, C.M., & Vineyard, C.M. (2020). Evolving Spiking Circuit Motifs using Weight Agnostic Neural Networks [Conference Poster]. https://www.osti.gov/biblio/1804991