Publications

Robbins, J. (2018). Topology Optimization for Nonlinear Transient Applications Using a Minimally Invasive Approach (LDRD Final Report). https://doi.org/10.2172/1475253

Merewether, M.T., Plews, J.A., Crane, N.K., de Frias, G., Lesan, S., Littlewood, D.J., Mosby, M.D., Pierson, K.H., Porter, V.L., Shelton, T.R., Thomas, J.D., Tupek, M.R., Veilleux, M.G., Xavier, P.G., Manktelow, K., Clutz, C.C., & Clutz, C.C. (2018). Sierra/SolidMechanics 4.50 Theory Manual. https://doi.org/10.2172/1475099

Levy, S.L.N., Ferreira, K., & Ferreira, K. (2018). Using simulation to examine the effect of MPI message matching costs on application performance [Conference Poster]. ACM International Conference Proceeding Series. https://doi.org/10.1145/3236367.3236375

Granzow, B.N., Seidl, D.T., & Seidl, D.T. (2018). Adjoint-based Calibration of Plasticity Model Parameters from Digital Image Correlation Data. https://doi.org/10.2172/1474264

Reeder, L., Hill, A., Aimone, J.B., Severa, W., & Severa, W. (2018). Exploring Applications of Random Walks on Spiking Neural Algorithms. https://doi.org/10.2172/1471656

Trott, C.R. (2018). Kokkos R&D: Remote Memory Spaces WBS STPR 04 Milestone 7. https://doi.org/10.2172/1475257

Trott, C.R. (2018). ECP STPR04 Milestone 5 Report. https://doi.org/10.2172/1481607

Trott, C.R., Ibanez-Granados, D.A., Ellingwood, N.D., Bova, S.W., Labreche, D.A., & Labreche, D.A. (2018). STPR 04 Milestone 6 Report. https://doi.org/10.2172/1481606

Trott, C.R., Sunderland, D., Hoemmen, M.F., & Hoemmen, M.F. (2018). WBS STPR 04 Milestone 4 Report. https://doi.org/10.2172/1481609

Sunderland, D., Hoemmen, M.F., Trott, C.R., & Trott, C.R. (2018). WBS STPR 04 Milestone 4 Report. https://doi.org/10.2172/1481608

Bettencourt, M.T., Kramer, R.M.J., Cartwright, K.L., Phillips, E., Ober, C.C., Pawlowski, R., Swan, M.S., Tezaur, I.K., Phipps, E.T., Conde, S., Cyr, E.C., Ulmer, C.D., Kordenbrock, T., Levy, S.L.N., Templet, G.J., Hu, J.J., Lin, P.T., Glusa, C., Siefert, C., Glass, M.W., & Glass, M.W. (2018). ASC ATDM Level 2 Milestone #6358: Assess Status of Next Generation Components and Physics Models in EMPIRE. https://doi.org/10.2172/1493832

Cangi, A., Jensen, D.S., Hansen, S.B., Baczewski, A.D., & Baczewski, A.D. (2018). Time-Dependent Density Functional Theory for High Energy Density Physics [Conference Poster]. https://www.osti.gov/biblio/1806845

Ferreira, K., Levy, S.L.N., Bachman, W.B., Grant, R., & Grant, R. (2018). Characterizing MPI matching via trace-based simulation [Conference Poster]. Parallel Computing. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85048343916&origin=inward

Trask, N.A. (2018). Discretely conservative meshfree principles for conservation laws [Conference Poster]. https://www.osti.gov/biblio/1592073

Bachman, W.B., Bachman, W.B., Hammond, S., Aguilar, M.J., Curry, M.L., Grant, R., Hoekstra, R.J., Klundt, R.A., Monk, S.T., Ogden, J.B., Olivier, S.L., Scott, R.D., Ward, H.L., Younge, A.J., & Younge, A.J. (2018). FY18 L2 Milestone #6360 Report: Initial Capability of an Arm-based Advanced Architecture Prototype System and Software Environment. https://doi.org/10.2172/1493831

Hansen, S.B., Baczewski, A.D., Nagayama, T., Cangi, A., Gomez, T., & Gomez, T. (2018). Developing Consistent Models for Matter in Extreme Conditions [Conference Poster]. https://www.osti.gov/biblio/1569112

Steyer, A., Taylor, M.A., Guba, O., & Guba, O. (2018). Implicit-Explicit Time-Integration in the E3SM-Homme Nonhydrostatic Atmosphere Model [Conference Poster]. https://www.osti.gov/biblio/1562350

Olivier, S.L. (2018). Investigating Factors Impacting Exascale Performance of ASC Codes: A Co-design Effort [Presentation]. https://www.osti.gov/biblio/1569130

Sagredo, F., Cangi, A., & Cangi, A. (2018). Exchange correlation functional for bulk solid and confinement physics [Presentation]. https://www.osti.gov/biblio/1806823

Bartlett, R. (2018). Intermediate Git [Presentation]. https://www.osti.gov/biblio/1592261

Laity, G., Aragon, C., Bennett, N.L., Bliss, D.E., Bachman, W.B., Fierro, A.S., Gomez, M.R., Hess, M.H., Hutsel, B.T., Jennings, C.A., Johnston, M.D., Kossow, M.R., Lamppa, D.C., Martin, M.R., Patel, S., Porwitzky, A., Robinson, A.C., Rose, D., Vandevender, P., … Cuneo, M.E. (2018). Recent Diagnostic Platform Accomplishments for Studying Vacuum Power Flow Physics at the Sandia Z Accelerator [Conference Poster]. https://www.osti.gov/biblio/1592228

Kittell, D.E., Yarrington, C.D., Bolintineanu, D.S., Lechman, J.B., Wood, M.A., Knepper, R., Olles, J.D., Thompson, A.P., Wixom, R.R., & Wixom, R.R. (2018). Mesoscale Modeling of Explosives at Sandia National Laboratories: Past and Future Directions a GA Tech Graduate Seminar Series Lecture [Presentation]. https://www.osti.gov/biblio/1592241

Huang, A., Gao, X., Pawlowski, R., Gates, J.M., Musson, L.C., Hennigan, G., Negoita, M., & Negoita, M. (2018). A versatile harmonic balance method in a parallel framework [Conference Poster]. https://doi.org/10.1109/SISPAD.2018.8551620

Stewart, J. (2018). Sandia's Exascale Computing Project [Presentation]. https://www.osti.gov/biblio/1592313

Sarovar, M., Parekh, O., Somma, R., Subasi, Y., Metcalf, M., Moussa, J.E., Su, Y., Childs, A., Gharibian, S., Ryan-Anderson, C., Bapat, A., Jordan, S., & Jordan, S. (2018). Quantum Optimization and Learning and Simulation [Conference Poster]. https://www.osti.gov/biblio/1592311

mc Jones, E., Carroll, J.D., Karlson, K.N., Kramer, S., Lehoucq, R.B., Reu, P.L., Seidl, D.T., Turner, D.Z., & Turner, D.Z. (2018). High-Throughput Material Characterization using the Virtual Fields Method. https://doi.org/10.2172/1474817

Singh, B., Watson, J., & Watson, J. (2018). Chance-Constrained Optimization for Critical Infrastructure Protection [Presentation]. https://www.osti.gov/biblio/1806851

Kouri, D.P. (2018). A Primal-Dual Algorithm for Large-Scale Risk Minimization [Conference Poster]. https://www.osti.gov/biblio/1567826

Moore, S.G., Gallis, M.A., & Gallis, M.A. (2018). SPARTA Heterogeneous Full Trinity Runs: Successes and Challenges [Conference Poster]. https://www.osti.gov/biblio/1568958

Lofstead, G.F. (2018). How Do We Move Practical Fault Tolerance Out of the 1990s? [Conference Poster]. https://www.osti.gov/biblio/1806820

Silling, S.A. (2018). Modeling Penetration and Perforation with Peridynamics [Conference Poster]. https://www.osti.gov/biblio/1562363

Koester, J.J., Chen, J.S., Tupek, M.R., Mitchell, S.A., Bishop, J.E., & Bishop, J.E. (2018). The Conforming Reproducing Kernel Method for an Agile Design-to-Simulation Workflow [Conference Poster]. https://www.osti.gov/biblio/1592060

Mitchell, S.A. (2018). Sphere Sampling for Meshing & Reconstruction with Delaunay & Voronoi Cells [Conference Poster]. https://www.osti.gov/biblio/1806817

Harvey-Collard, P., Jacobson, N.T., Bureau-Oxton, C., Jock, R.M., Srinivasa, V., Mounce, A.M., Ward, D.R., Anderson, J.M., Manginell, R., Wendt, J.R., Pluym, T., Lilly, M.P., Luhman, D.R., Pioro-Ladriere, M., Carroll, M.S., & Carroll, M.S. (2018). Implications of the spin-orbit interaction for singlet-triplet qubits in silicon [Conference Poster]. https://www.osti.gov/biblio/1592312

Misra, S., Ward, D.R., Maurer, L.N., Lu, T., Marshall, M., de Campbell, A., & de Campbell, A. (2018). Digital Electronics at the Atomic Limit. https://doi.org/10.2172/1474250

van Bloemen Waanders, B.G., Hart, J., & Hart, J. (2018). Sensitivity Analysis for risk-averse PDE-Constrained Optimization [Conference Poster]. https://www.osti.gov/biblio/1594669

Ahlgren, V., Andersson, S., Brandt, J.M., Cardo, N., Chunduri, S., Enos, J., Fields, P., Gentile, A.C., Gerber, R., Gienger, M., Greenseid, J., Greiner, A., Hadri, B., He, Y., Hoppe, D., Kaila, U., Kelly, K., Klein, M., Kristiansen, A., … Williams, J. (2018). Large-Scale System Monitoring Experiences and Recommendations [Conference Poster]. https://doi.org/10.1109/CLUSTER.2018.00069

Chance, F.S., Warrender, C., & Warrender, C. (2018). Implementing Neural Adaptive Filtering in Engineered Detection Systems. https://doi.org/10.2172/1474262

Singh, B., Watson, J., & Watson, J. (2018). Chance-Constrained Optimization for Critical Infrastructure Protection. https://doi.org/10.2172/1474266

Spotz, W.F., Kotteda, V., Kumar, V., Sunderland, D., & Sunderland, D. (2018). Performance portability of a fluidized bed solver [Presentation]. https://www.osti.gov/biblio/1806860

von Winckel, G. (2018). Optimal Design and Control of Qubits. https://doi.org/10.2172/1475100

Ferguson-Walter, K., Shade, T., Rogers, A., Trumbo, M.C.S., Nauer, K., Divis, K.M., Jones, A., Combs, A., Abbott, R.G., Niedbala, E., & Niedbala, E. (2018). The Tularosa Study: An Experimental Design and Implementation to Quantify the Effectiveness of Cyber Deception [Conference Poster]. https://doi.org/10.24251/HICSS.2019.874

Teranishi, K., Barrett, R.F., Forster, C., Dunlavy, D.M., Kolda, T.G., & Kolda, T.G. (2018). Performance portable parallel CP-APR tensor decompositions [Conference Poster]. https://www.osti.gov/biblio/1806849

Voth, T.E., Beckwith, K., Bond, S.D., Granzow, B.N., Hamlin, N.D., Ibanez-Granados, D.A., Jennings, C.A., Martin, M.R., Stagg, A.K., & Stagg, A.K. (2018). Flexo: Development Activities for Z-Next Simulation [Presentation]. https://www.osti.gov/biblio/1806876

Rohlig, K., Plischke, E., Becker, D., Stein, E., Govaerts, J., Debusschere, B.J., Koskinen, L., Kupiainen, P., Leigh, C., Mariner, P.E., Nummi, O., Pastina, B., Sevougian, S.D., Spiessl, S., Swiler, L.P., Weetjens, E., Zeitler, T., & Zeitler, T. (2018). Sensitivity Analysis in Performance Assessment: Towards a Joint Approach [Conference Poster]. https://www.osti.gov/biblio/1806880

Jakeman, J.D., Perego, M., Severa, W., & Severa, W. (2018). Neural Networks as Surrogates of Nonlinear High-Dimensional Parameter-to-Prediction Maps. https://doi.org/10.2172/1531317

Swiler, L.P., Adams, B.M., Wieselquist, W., & Wieselquist, W. (2018). Sample Generation for Nuclear Data. https://doi.org/10.2172/1474254

Bartlett, R. (2018). The application of TriBITS to the Software Development and Integration Processes of Larger Componentized Multi-Organization Scientific and Engineering Software Projects [Presentation]. https://www.osti.gov/biblio/1594664

Geraci, G., Eldred, M., & Eldred, M. (2018). Leveraging Intrinsic Principal Directions for Multifidelity Uncertainty Quantification. https://doi.org/10.2172/1475254

Stein, E., Swiler, L.P., Sevougian, S.D., & Sevougian, S.D. (2018). GDSA Framework: Comparison of Sensitivity Analysis Methods Applied to a Reference Case Repository in Shale [Conference Poster]. https://www.osti.gov/biblio/1592078

Koepke, J.R., Jared, B.H., Saiz, D.J., Hill, R., Taylor, S., Swiler, L.P., & Swiler, L.P. (2018). Investigating Process Parameters in Laser-Powder Bed Fusion [Presentation]. https://www.osti.gov/biblio/1592080

Lu, T., Maurer, L.N., Bussmann, E., Harris, C.T., Tracy, L.A., Sapkota, K.R., & Sapkota, K.R. (2018). Engineering Spin-Orbit Interaction in Silicon. https://doi.org/10.2172/1475504

Tranchida, J., Wood, M.A., Moore, S.G., & Moore, S.G. (2018). Coupled Magnetic Spin Dynamics and Molecular Dynamics in a Massively Parallel Framework (LDRD Final Report). https://doi.org/10.2172/1493836

Lofstead, G.F. (2018). Workflows Containers Data Management and Scale Up Computing [Conference Poster]. https://www.osti.gov/biblio/1806872

Trott, C.R. (2018). STPR04-7 ECP Milestone Highlight Slide [Presentation]. https://www.osti.gov/biblio/1569315

Levenhagen, M., Hammond, S., Hemmert, K.S., & Hemmert, K.S. (2018). Towards Lightweight and Scalable Simulation of Large-Scale OpenSHMEM Applications [Conference Poster]. https://www.osti.gov/biblio/1569316

Hammond, S., Hoekstra, R.J., & Hoekstra, R.J. (2018). Analyzing Build System Pressure for the ASC Program [Presentation]. https://www.osti.gov/biblio/1569318

Moreland, K., Pugmire, D., Rogers, D., Childs, H., Geveci, B., & Geveci, B. (2018). October 2018 ECP ST Project Review: ECP Project WBS 2.3.4.13 VTK-m/ECP [Presentation]. https://www.osti.gov/biblio/1569332

Vineyard, C.M., Follett, D., & Follett, D. (2018). Neural-Inspired Computing at Sandia National Laboratories [Presentation]. https://www.osti.gov/biblio/1569319

Granzow, B.N., Voth, T.E., Ibanez-Granados, D.A., Bond, S.D., Hansen, G., & Hansen, G. (2018). AMR for Multiphysics Applications on Next Generation Systems [Presentation]. https://www.osti.gov/biblio/1806877

Sevougian, S.D., Stein, E., Swiler, L.P., & Swiler, L.P. (2018). Higher-order SIs and Interactions based on PCE (using Dakota) [Presentation]. https://www.osti.gov/biblio/1594665

Joecker, B., Baczewski, A.D., Gamble, J.K., Pla, J., Morello, A., & Morello, A. (2018). Full configuration interaction simulations of exchange coupled donors in silicon in an effective mass theory framework [Conference Poster]. https://www.osti.gov/biblio/1561790

Debenedictis, E. (2018). IEEE Superconducting and Quantum Information Activities [Conference Poster]. https://www.osti.gov/biblio/1806821

Thornquist, H., Loe, J.A., Boman, E.G., & Boman, E.G. (2018). Polynomial Preconditioned GMRES for Communication Reduction [Conference Poster]. https://www.osti.gov/biblio/1592317

Debenedictis, E. (2018). IEEE Quantum Computing Summit [Conference Poster]. https://www.osti.gov/biblio/1591735

Rohlig, K., Plischke, E., Becker, D., Stein, E., Govaerts, J., Debusschere, B.J., Koskinen, L., Kupiainen, P., Leigh, C., Mariner, P.E., Nummi, O., Pastina, B., Sevougian, S.D., Spiessl, S., Swiler, L.P., Weetjens, E., Zeitler, T., & Zeitler, T. (2018). Sensitivity Analysis in Performance Assessment: Towards a Joint Approach [Conference Poster]. https://www.osti.gov/biblio/1568977

Steyer, A., van Vleck, E.S., & van Vleck, E.S. (2018). Underlying one-step methods and nonautonomous stability of general linear methods. Discrete and Continuous Dynamical Systems - Series B, 23(7), pp. 2859-2877. https://doi.org/10.3934/dcdsb.2018108

Steyer, A., van Vleck, E.S., & van Vleck, E.S. (2018). A Lyapunov and Sacker–Sell spectral stability theory for one-step methods. BIT Numerical Mathematics, 58(3), pp. 749-781. https://doi.org/10.1007/s10543-018-0704-2

Younge, A.J., Bachman, W.B., Hammond, S., Bachman, W.B., & Bachman, W.B. (2018). Vanguard Astra - Petascale ARM Platform for U.S. DOE/ASC Supercomputing [Conference Poster]. https://www.osti.gov/biblio/1806870

Bachman, W.B., Bachman, W.B., Hammond, S., & Hammond, S. (2018). Vanguard L2 Milestone Review [Presentation]. https://www.osti.gov/biblio/1568963

Mitchell, S.A. (2018). Direct Mission Connections - department review slide [Presentation]. https://www.osti.gov/biblio/1592243

Stracuzzi, D.J., Darling, M.C., Peterson, M.G., Chen, M.G., & Chen, M.G. (2018). Quantifying Uncertainty to Improve Decision Making in Machine Learning. https://doi.org/10.2172/1481629

Frank, M.P. (2018). Engineering Challenges for Reversible Computing Hardware [Presentation]. https://www.osti.gov/biblio/1561432

Linz, W. (2018). Optimal Power Flow Problems and PTDFs [Presentation]. https://www.osti.gov/biblio/1561428

Blume-Kohout, R.J. (2018). Quantum Computing and Creativity [Conference Poster]. https://www.osti.gov/biblio/1561738

Littlewood, D.J., van Bloemen Waanders, B.G., Hegde, A., Cook, A.W., & Cook, A.W. (2018). Computational Peridynamics with Application to Additively Manufactured Ceramics [Conference Poster]. https://www.osti.gov/biblio/1561567

Bartlett, R. (2018). ECP IDEAS Productivity Project [Conference Poster]. https://www.osti.gov/biblio/1561740

Peterson, K., Turner, A., Bolintineanu, D.S., Ibanez-Granados, D.A., & Ibanez-Granados, D.A. (2018). Discrete Element Model for Sea Ice [Conference Poster]. https://www.osti.gov/biblio/1561576

Bachman, W.B., Bachman, W.B., Hammond, S., Aguilar, M.J., Curry, M.L., Grant, R., Hoekstra, R.J., Klundt, R.A., Monk, S.T., Ogden, J.B., Olivier, S.L., Scott, R.D., Ward, H.L., Younge, A.J., & Younge, A.J. (2018). Vanguard Astra and ATSE – an ARM-based Advanced Architecture Prototype System and Software Environment (FY18 L2 Milestone #8759 Report). https://doi.org/10.2172/1470822

Maupin, K.A., Swiler, L.P., Porter, N.W., & Porter, N.W. (2018). Validation metrics for deterministic and probabilistic data. Journal of Verification, Validation and Uncertainty Quantification, 3(3). https://doi.org/10.1115/1.4042443

Aimone, J.B., Hill, A., Lehoucq, R.B., Parekh, O., Reeder, L., Severa, W., & Severa, W. (2018). Neural Algorithms for Low Power Implementation of Partial Differential Equations. https://doi.org/10.2172/1474253

Lacy, S.W., Noe, J.P., Ogden, J.B., Hammond, S., & Hammond, S. (2018). Building 725 Expansion. https://doi.org/10.2172/1467782

Kommareddy, V.R., Hughes, C., Hammond, S., Awad, A., & Awad, A. (2018). Opal: A Centralized Memory Manager for Investigating Disaggregated Memory Systems. https://doi.org/10.2172/1467164

Mattox, T.I., Larentzos, J.P., Moore, S.G., Stone, C.P., Ibanez-Granados, D.A., Thompson, A.P., Lisal, M., Brennan, J.K., Plimpton, S.J., & Plimpton, S.J. (2018). Highly scalable discrete-particle simulations with novel coarse-graining: accessing the microscale [Conference Poster]. Molecular Physics. https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85046903325&origin=inward

Pierre, B.J., Arguello, B., Staid, A., Guttromson, R., & Guttromson, R. (2018). Investment optimization to improve power system resilience [Conference Poster]. 2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018 - Proceedings. https://doi.org/10.1109/PMAPS.2018.8440467

Pierre, B.J., Arguello, B., Staid, A., Guttromson, R., & Guttromson, R. (2018). Investment optimization to improve power system resilience [Conference Poster]. 2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018 - Proceedings. https://doi.org/10.1109/PMAPS.2018.8440467

Rachunok, B., Staid, A., Watson, J., Woodruff, D.L., Yang, D., & Yang, D. (2018). Stochastic unit commitment performance considering monte carlo wind power scenarios [Conference Poster]. 2018 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2018 - Proceedings. https://doi.org/10.1109/PMAPS.2018.8440563

Jakeman, J.D., Narayan, A., & Narayan, A. (2018). Generation and application of multivariate polynomial quadrature rules. Computer Methods in Applied Mechanics and Engineering. https://doi.org/10.2172/1510651

Gorodetsky, A.A., Jakeman, J.D., & Jakeman, J.D. (2018). Gradient-based optimization for regression in the functional tensor-train format. Journal of Computational Physics, 374(C), pp. 1219-1238. https://doi.org/10.1016/j.jcp.2018.08.010

Mazumdar, A., Mazumdar, Y.C., van Bloemen Waanders, B.G., Brooks, C.F., Kuehl, M., Nemer, M., & Nemer, M. (2018). Wireless Temperature Sensing Using Permanent Magnets for Nonlinear Feedback Control of Exothermic Polymers. IEEE Sensors Journal, 18(19), pp. 7970-7979. https://doi.org/10.1109/JSEN.2018.2863249

Levy, S.L.N., Bachman, W.B., Ferreira, K., & Ferreira, K. (2018). Open science on Trinity's knights landing partition: An analysis of user job data [Conference Poster]. ACM International Conference Proceeding Series. https://doi.org/10.1145/3229710.3229753

Hoekstra, R.J., Hungerford, A.L., Montoya, D.R., Ferencz, R.M., Kuhl, A.L., Ruggirello, K., & Ruggirello, K. (2018). Predictive Science ASC Alliance Program (PSAAP) II: 2018 Review of the Carbon Capture Multidisciplinary Science Center (CCMSC) at the University of Utah. https://doi.org/10.2172/1464439

Dosanjh, M.G.F., Ghazimirsaeed, S.M., Grant, R., Schonbein, W., Levenhagen, M., Bridges, P.G., Afsahi, A., & Afsahi, A. (2018). The case for semi-permanent cache occupancy [Conference Poster]. ACM International Conference Proceeding Series. https://doi.org/10.1145/3225058.3225130

Kim, K., Edwards, H.C., Rajamanickam, S., & Rajamanickam, S. (2018). Tacho: Memory-scalable task parallel sparse cholesky factorization [Conference Poster]. Proceedings - 2018 IEEE 32nd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2018. https://doi.org/10.1109/IPDPSW.2018.00094

Herault, T., Robert, Y., Bouteiller, A., Arnold, D., Ferreira, K., Bosilca, G., Dongarra, J., & Dongarra, J. (2018). Optimal cooperative checkpointing for shared high-performance computing platforms [Conference Poster]. Proceedings - 2018 IEEE 32nd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2018. https://doi.org/10.1109/IPDPSW.2018.00127

Bachman, W.B., Grant, R., Bachman, W.B., Levenhagen, M., Olivier, S.L., Ward, H.L., Younge, A.J., & Younge, A.J. (2018). A comparison of power management mechanisms: P-States vs. node-level power cap control [Conference Poster]. Proceedings - 2018 IEEE 32nd International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2018. https://doi.org/10.1109/IPDPSW.2018.00117

Zhang, Y., Tuncer, O., Kaplan, F., Olcoz, K., Leung, V.J., Coskun, A.K., & Coskun, A.K. (2018). Level-spread: A new job allocation policy for dragonfly networks [Conference Poster]. Proceedings - 2018 IEEE 32nd International Parallel and Distributed Processing Symposium, IPDPS 2018. https://doi.org/10.1109/IPDPS.2018.00121

Glusa, C., Ainsworth, M., & Ainsworth, M. (2018). Hybrid Finite Element--Spectral Method for the Fractional Laplacian: Approximation Theory and Efficient Solver. SIAM Journal on Scientific Computing, 40(4). https://doi.org/10.1137/17M1144696

Berry, J., Butcher, N., Olivier, S.L., Hammond, S., Kogge, P., & Kogge, P. (2018). Optimizing for KNL Usage Modes When Data Doesn?t Fit in MCDRAM [Conference Poster]. https://www.osti.gov/biblio/1582186

Wood, M.A., Cusentino, M.A., Thompson, A.P., & Thompson, A.P. (2018). Scalable Machine Learned Interatomic Potentials With SNAP [Conference Poster]. https://www.osti.gov/biblio/1582188