Center for Computing Research (CCR)

Center for Computing Research

2018 Publications & Presentations

  • Duan, Shaohua, Subedi Pradeep, Keita Teranishi, Phillip Davis, Hemanth Kolla, Marc Gamell, Manish Parashar, "Scalable Data Resilience for In-Memory Data Staging," Conference Paper, 32nd IEEE International Parallel Distributed Processing Symposium, May 2018.
  • Abdelkader, Ahmed, Chandrajit Bajaj, Mohamed Ebeida, Ahmed H Mahmoud, Scott A. Mitchell, John D Owens, Ahmad Rushdi, "Sampling Conditions for Conforming Voronoi Meshing by the VoroCrust Algorithm," Conference Paper, Symposium on Computational Geometry, June 2018.
  • Adams, Brian M., Patricia D. Hough, John Adam Stephens, "Dakota Optimization and UQ: Explore and Predict with Confidence," Presentation, 2018 SIAM Conference on Uncertainty Quantification, April 2018.
  • Adcock, Ben, Anyi Bao, John Davis Jakeman, Akil Narayan, "Compressed sensing with sparse corruptions: Fault-tolerant sparse collocation approximations," Journal Article, SIAM/ASA Journal on Uncertainty Quantification (JUQ), Submitted January 2018.
  • Aguilo Valentin, Miguel Alejandro, Thomas E. Voth, Brett W. Clark, Joshua Robbins, "GPU Accelerated Topology Optimization with Plato/Alexa," Presentation, AM@Sandia Symposium, January 2018.
  • Aimone, James Bradley, "A direct application of neuromorphic computing to numerical computing," Presentation, 2018 Neural Inspired Computing Elements Workshop, February 2018.
  • Aimone, James Bradley, William Mark Severa, "Context-modulation of hippocampal dynamics and deep convolutional networks," Abstract, 2018 NIPS Workshop, December 2018.
  • Avina, Glory Emmanuel, "Wearables for Physiological Monitoring and the DoD," Presentation, Homeland Defense & Security Information Analysis Center Webinar, March 2018.
  • Aytac, Jon M, Karla Vanessa Morris, David Lindsay Errington, Philip Alden Johnson-Freyd, "B83 Sequencer Formal Verification," SAND Report, January 2018.
  • Berger-Vergiat, Luc, Raymond Tuminaro, Peter Ohm, "Structured grid algorithms in MueLu," Presentation, Copper Mtn Iterative Method Conference, March 2018.
  • Berry, Jonathan W., Cynthia A. Phillips, Sivasankaran Rajamanickam, George M Slota, "Scalable Community Detection Benchmark Generation," Abstract, SIAM Workshop on Combinatorial Scientific Computing, June 2018.
  • Bertagna, Luca, Michael Deakin, Oksana Guba, Daniel Sunderland, Andrew Michael Bradley, Irina Kalashnikova Tezaur, Mark A. Taylor, Andrew G. Salinger, "A Performance Portable Atmospheric Dynamical Core for the Energy Exascale Earth System Model," Conference Paper, submitted to SC '18: Proceedings of the Int. Conf. on High Perf. Comput., Networking, Storage and Analysis, March 2018.
  • Bertagna, Luca, Michael Deakin, Oksana Guba, Andrew Michael Bradley, Andrew G. Salinger, Irina Kalashnikova Tezaur, Daniel Sunderland, "Performance portability for next generation HPC architectures in E3SM via the Kokkos programming model," Abstract, PASC 2018 Conference, March 2018.
  • Bolintineanu, Dan Stefan, Jeremy B. Lechman, Stephen D. Bond, Cole Yarrington, Robert Knepper, Sharlotte LorraineBolyard Kramer, Robert Waymel, Enrico C. Quintana, Kevin Nicholas Long, "Data analysis of heterogeneous materials: applications to energetic materials and polymer foams," Presentation, Engineering Sciences Research Foundations External Review, April 2018.
  • Bourgeois, Daniel, Michael Wolf, Kenneth Moreland, "Isosurface Visualization Miniapplication," White Paper, January 2018.
  • Brightwell, Ronald B., Stephen Lecler Olivier, "Enhancing Qthreads for ECP Science and Energy Impact," Poster, 2018 Exascale Computing Project Annual Meeting, February 2018.
  • Brzustowicz, Michael Robert, Jaideep Ray, "Tensor Decomposition of Airborne Telemetry Data," Poster, CoDA 2018, March 2018.
  • Butler, Troy, John Davis Jakeman, Timothy Michael Wildey, "Combining Push-Forward Measures and Bayes' Rule to Construct Consistent Solutions to Stochastic Inverse Problems," Journal Article, SIAM Journal on Scientific Computing, Accepted/Published April 2018.
  • Bynum, Michael Lee, Andrea R Castillo, Jean-Paul Watson, Carl Damon Laird, "Strengthened SOCP Relaxations for ACOPF with McCormick Envelopes and Bounds Tightening," Conference Paper, International Symposium on Process Systems Engineering - PSE 2018, June 2018.
  • Bynum, Michael Lee, Andrea R Castillo, Jean-Paul Watson, Carl Damon Laird, "Tightening McCormick Relaxations Toward Global Solution of the ACOPF Problem," Journal Article, IEEE Transactions on Power Systems, Submitted April 2018.
  • Carlberg, Kevin Thomas, Kookjin Lee, Kevin Thomas Carlberg, Howard Elman, "Stochastic least-squares Petrov–Galerkin method for parameterized linear systems," Journal Article, SIAM/ASA Journal on Uncertainty Quantification, Vol. 6, No. 1, pp. 374–396, Accepted/Published March 2018.
  • Chen, Maximillian Gene, Michael Christopher Darling, David John Stracuzzi, "Multimodal Image Analysis and Uncertainty Quantification via Nonparametric Probabilistic Clustering," Poster, 2018 Conference on Data Analytics, March 2018.
  • Constantine, Paul G., Jeffrey M. Hokanson, Drew Philip Kouri, "Ridge approximation and dimension reduction for an acoustic scattering model," Conference Paper, 2018 International Applied Computational Electromagnetics Society (ACES) Symposium , March 2018.
  • Costa, Timothy B., Stephen D. Bond, David John Littlewood, "Nonlocal and Mixed-Locality Multiscale Finite Element Method," Journal Article, SIAM Multiscale Modeling and Simulation, Vol. 16, No. 1, pp. 503–527, Accepted/Published April 2018.
  • Crossno, Patricia J., "Challenges in Visual Analysis of Ensembles," Journal Article, IEEE Computer Graphics and Applications, Vol. 38, No. 2, pp. 122–131, Accepted/Published March 2018.
  • D'Elia, Marta, "A coupling strategy for nonlocal and local models," Presentation, Invited Lecture at Texas A&M., April 2018.
  • D'Elia, Marta, "CAREER OPPORTUNITIES OUTSIDE ACADEMIA," Presentation, Women in Mathematics Symposium , April 2018.
  • D'Elia, Marta, Carter Edwards, Jonathan J. Hu, Eric T. Phipps, Sivasankaran Rajamanickam, "Ensemble Grouping Strategies for Embedded Stochastic Collocation Methods Applied to Anisotropic Diffusion Problems," Journal Article, SIAM/ASA J. Uncertainty Quantification, Accepted/Published January 2018.
  • D'Elia, Marta, H. Carter Edwards, Jonathan J. Hu, Eric T. Phipps, Sivasankaran Rajamanickam, "Ensemble Grouping Strategies for Embedded Stochastic Collocation Methods Applied to Anisotropic Diffusion Problems," Journal Article, SIAM/ASA Journal on Uncertainty Quantification, Vol. 6, No. 1, pp. 87–117, Accepted/Published January 2018.
  • Darling, Michael Christopher, David John Stracuzzi, Maximillian Gene Chen, "Uncertainty Propagation In Multimodal Analysis," Poster, 2018 Conference on Data Analytics, March 2018.
  • Demeshko, Irina, Jerry Watkins, Irina Kalashnikova Tezaur, Oksana Guba, William Spotz, Andrew G. Salinger, Roger P. Pawlowski, Michael A. Heroux, "Towards performance-portability of the Albany finite element analysis code using the Kokkos library," Journal Article, J. HPC Appl., pp. 1–23, Accepted/Published February 2018.
  • Desai, Ajit, Mohammad Khalil, Chris Pettit, Dominique Poirel, Abhijit Sarkar, "Scalable domain decomposition solvers for stochastic PDEs in high performance computing," Journal Article, Computer Methods in Applied Mechanics and Engineering, pp. 194–222, Article No. 335, Accepted/Published January 2018.
  • Deveci, Mehmet, Karen D. Devine, Kevin Pedretti, Mark A. Taylor, Sivasankaran Rajamanickam, Umit Catalyurek, "Geometric Partitioning and Ordering Strategies for Task Mapping on Parallel Computers," Journal Article, IEEE Transactions on Parallel and Distributed Systems, Submitted April 2018.
  • Deveci, Mehmet, Karen D. Devine, Kevin Pedretti, Mark A. Taylor, Sivasankaran Rajamanickam, Umit Catalyurek, "Geometric Partitioning and Ordering Strategies for Task Mapping on Parallel Computers," Report, Technical Report, April 2018.
  • Divis, Kristin Marie, Clifford Isaac Anderson-Bergman, Robert G. Abbott, Victoria Erin Newton, Glory Emmanuel-Aviña, "Physiological and Cognitive Factors Related to Human Performance During the Grand Canyon Rim-to-Rim Hike," Journal Article, Journal of Human Performance in Extreme Environments, Vol. 14, No. 1, pp. 1–16, Article No. 5, Accepted/Published January 2018.
  • Dowling, Alexander, Bethany L. Nicholson, "Uncovering New Opportunities from Frequency Regulation Markets with Dynamic Optimization and Pyomo.DAE," Conference Paper, Process Systems Engineering, PSE 2018, July 2018.
  • Downen, Paul, Philip Johnson-Freyd, Zena M Ariola, "Uniform Strong Normalization for Multi-Discipline Calculi," Presentation, 12th International Workshop on Rewriting Logic and Applications (WRLA 2018, April 2018.
  • Emmanuel-Aviña, Glory, "Novel method to monitor physiological, cognitive, and biological markers: Determining origin of change," Journal Article, HDIAC Biosciences. , Submitted March 2018.
  • Evans, Katherine, Joseph Kennedy, Dan Lu, Mary Forrester, Stephen Price, Jeremy Fike, Andrew Bennett, Matt Hoffman, Irina Kalashnikova Tezaur, Charles Zender, Miren Vizcaino, "LIVVkit 2.1: Automated and extensible ice sheet model validation," Journal Article, Geosci. Model Develop, Submitted March 2018.
  • Fekete, Sándor P., Kan Huang, Joseph S. B. Mitchell, Ojas D. Parekh, Cynthia A. Phillips, "Geometric Hitting Set for Segments of Few Orientations," Journal Article, Theory of Computing Systems, Vol. 62, No. 2, pp. 268–303, Accepted/Published February 2018.
  • Ferguson-Walter, Kimberly, Temmie Shade, Andrew Rogers, Michael Trumbo, Kevin Nauer, Kristin Divis, Aaron Jones, Angela Combs, Robert G. Abbott, "Appendix to The Tularosa Study: An Experimental Design and Implementation to Quantify the Effectiveness of Cyber Deception," SAND Report, May 2018.
  • Forster, Christopher James, Keita Teranishi, Daniel Dunlavy, Tamara G. Kolda, "Analysis of Performance and Portability of Sparse Tensor Decompositions on CPU/MIC/GPU Architectures using Kokkos," Presentation, NVIDIA GPU Technology Conference (GTC), March 2018.
  • Frank, Michael P, "Back to the Future: The Case for Reversible Computing," White Paper, March 2018.
  • Frank, Michael P, "Generalized Reversible Computing," White Paper, June 2018.
  • Fuller, Elliot James, Scott Keene, Zhongrui Wang, Sapan Agarwal, Francois Leonard, Joshua Yang, Matthew Marinella, Alberto Salleo, Albert Alec Talin, "Floating gate memory based on ion-insertion electrodes for low-voltage analog computing," Abstract, APS March Meeting 2018 , March 2018.
  • Gallis, Michail A., Stan Gerald Moore, Steven J. Plimpton, "SPARTA: An Open-Source DSMC Code for Turbulence and Re-entry Modeling," Poster, 2nd Annual ECP Meeting, January 2018.
  • Gittinger, Jaxon, Shawn Martin, Milosz Aleksander Sielicki, Matthew Letter, Warren L. Hunt, Patricia J. Crossno, "VideoSwarm: Interactive Visualization of Simulation Video Ensembles," Poster, Conference on Data Analysis (CoDA) 2018, March 2018.
  • Gjanci, Petrika, Chiara Petrioli, Stefano Basagni, Cynthia A. Phillips, Ladislau Boloni, Damla Turgut, "Path Finding for Maximum Value of Information in Multi-modal Underwater Wireless Sensor Networks," Journal Article, IEEE Transactions on Mobile Computing, Vol. 17, No. 2, pp. 404–418, Accepted/Published February 2018.
  • Gorodetsky, Alex, John Davis Jakeman, "Gradient-based Optimization for Regression in the Functional Tensor-Train Format," Journal Article, Journal of Computational Physics, Submitted January 2018.
  • Hammond, Simon David, Courtenay T. Vaughan, Clayton Hughes, "Evaluating the Intel Skylake Xeon Processor for HPC Workloads," Conference Paper, International Conference on High Performance Computing and Simulation (HPCS 2018), July 2018.
  • Hammond, Simon David, Clayton Hughes, "Introduction to the Structural Simulation Toolkit (SST)," Presentation, April 2018.
  • Hammond, Simon David, Christian Robert Trott, Daniel Alejandro Ibanez, Daniel Sunderland, "Profiling and Debugging Support for Performance Portable Programming Models," Abstract, 3rd International Workshop on Performance Portable Programming Models for Accelerators (P^3MA), June 2018.
  • Hammond, Simon David, Robert J. Hoekstra, "Sandia ATDM Performance Analysis Project (2018 Spring Update)," Abstract, Exascale Computing Project Software Technology Project Update (Spring 2018), April 2018.
  • Hammond, Simon David, Gwendolyn Renae Voskuilen, Clayton Hughes, Amro Awad, Arun F. Rodrigues, Karl Scott Hemmert, Michael J. Levenhagen, "SST Simulation Framework (and Complex Memory)," Presentation, Exascale Computing Project All Hands Meeting 2018, February 2018.
  • Heroux, Michael A., "Parallel Programming Futures: What We Have and Will Have Will Not Be Enough," Presentation, SOS22, March 2018.
  • Heroux, Michael A., "The High Performance Conjugate Gradients Benchmark," Journal Article, SIAM News, Vol. 51, No. 1, Accepted/Published January 2018.
  • Hoffman, Matt, Mauro Perego, Stephen Price, William Lipscomb, Doug Jacobsen, Irina Kalashnikova Tezaur, Andrew G. Salinger, Raymond S. Tuminaro, Tong Zhang, "MPAS-Albany Land Ice (MALI): A variable resolution ice sheet model for Earth system modeling using Voronoi grid," Journal Article, Geosci. Model Develop, Accepted/Published March 2018.
  • Hoffman, Matthew, Mauro Perego, Lauren Andrews, Stephen Price, Thomas Neumann, Jesse Johnson, Ginny Catania, Martin Luthi, "Widespread Moulin Formation During SupraglacialLake Drainages in Greenland," Journal Article, Geophysical Research Letters, Accepted/Published January 2018.
  • Hollman, David S, Jeremiah J Wilke, "A Gentle Introduction to the DARMA Programming Model," Conference Paper, SIAM Conference on Parallel Processing for Scientific Computing in Tokyo, , Japan from 03/07/2018 - 03/10/2018, February 2018.
  • Hughes, Clayton, Amro Awad, Simon David Hammond, Arun F. Rodrigues, Karl Scott Hemmert, Robert J. Hoekstra, "Analyzing Exascale Memory Architectures Using the SST Toolkit," Presentation, 18th SIAM Conference on Parallel Processing for Scientific Computing, March 2018.
  • Hughes, Clayton M., Simon David Hammond, "The Challenges of Exascale Computing," Presentation, April 2018.
  • Hughes, Clayton M., Simon David Hammond, Courtenay T. Vaughan, "Evaluating the Intel Skylake Xeon Processor for HPC Workloads," Presentation, Special Session on High Performance Computing Benchmarking and Optimization, HPBench, July 2018.
  • Hukerikar, Saurabh, Keita Teranishi, Pedro C. Diniz, Robert F. Lucas, "RedThreads: An Interface for Application-Level Fault Detection/Correction Through Adaptive Redundant Multithreading.," Journal Article, International Journal of Parallel Programming , Vol. 46, No. 2, pp. 225–251, Accepted/Published April 2018.
  • Jakeman, John Davis, Akil Narayan, "Generation and application of multivariate polynomial quadrature rules," Journal Article, Computer Methods in Applied Mechanics and Engineering, Accepted/Published April 2018.
  • Jakeman, John Davis, Mauro Perego, Irina Kalashnikova Tezaur, Stephen Price, Georg Stadler, "Methodologies for Enabling Bayesian Calibration in Land­ice Modeling Towards Probabilistic Projections of Sea­level Change," Presentation, IAM Conference on Uncertainty Quantification, April 2018.
  • Jakeman, Tony, John Davis Jakeman, "An overview of methods to identify and manage uncertainty for modelling problems in the water-environment-agriculture cross-sector," Journal Article, Mathematics for Industry, Vol. 28, Accepted/Published March 2018.
  • Jensen, Daniel Spencer, Adam Wasserman, "Numerical methods for the inverse problem of density functional theory," Journal Article, International Journal of Quantum Chemistry, Vol. 118, No. 1, p. e25425, Accepted/Published January 2018.
  • Jock, Ryan Michael, Noah Tobias Jacobson, Patrick Harvey-Collard, Andrew Mounce, Vanita Srinivasa, Daniel Robert Ward, John Moses Anderson, Ronald P. Manginell, Joel R. Wendt, Martin Rudolph, Tammy Pluym, John King Gamble, Andrew David Baczewski, Wayne Witzel, Malcolm S. Carroll, "A silicon metal-oxide-semiconductor electron spin-orbit qubit," Journal Article, Nature Communications, Vol. 9, p. 1768, Accepted/Published May 2018.
  • Kegelmeyer, Philip, Jeremy D Wendt, Ali Pinar, Cliff Anderson-Bergman, "Counter Adversarial Node Labeling," Poster, Conference on Data Analytics, May 2018.
  • Kegelmeyer, Philip, "Machine Learning Adversarial Label Tampering: Design and Detection," Presentation, AI Forum 2017, February 2018.
  • Khalil, Mohammad, "Data-Driven Bayesian Model Selection: Parameter Space Dimension Reduction using Automatic Relevance Determination Priors," Presentation, Seminar Series, The Institute for Computational Engineering & Sciences at UT Austin. Austin, Texas, USA, January 2018.
  • Khalil, Mohammad, Habib Najm, "Probabilistic Inference of Reaction Rate Parameters from Summary Statistics," Journal Article, Journal of Combustion Theory and Modelling, Accepted/Published March 2018.
  • Kim, kyungjoo, Mauro Perego, Nathan David Ellingwood, Kara J. Peterson, Nathan V. Roberts, "Intrepid2: a Performance­Portable Package for Compatible High­Order Finite Element Discretizations," Presentation, Siam Conference on Parallel Processing for Scientific Computing, March 2018.
  • Kim, Kyungjoo, H. Carter Edwards, Sivasankaran Rajamanickam, "Tacho: Memory-Scalable Task Parallel Sparse Cholesky Factorization," Conference Paper, 8th International Workshop on Accelerators and Hybrid Exascale Systems (AsHES), May 2018.
  • Kolla, Hemanth, Matthew Whitlock, Sean Treichler, Philippe Pierre Pebay, Janine Camille Bennett, "Scalable Collectives for Distributed Asynchronous Many-Task Runtimes," Conference Paper, 23rd International Workshop on High-Level Parallel Programming Models and Supportive Environments in Vancouver, British Columbia, Canada, May 2018.
  • Kolla, Hemanth, Aditya Konduri, Prashant Rai, Tamara G. Kolda, Warren Leon Davis, "Tensor Decomposition to Perform Change of Basis in Multi-Variate HPC Data to Preserve Higher Order Statistical Moments," Presentation, SIAM Parallel Processing 2018, March 2018.
  • Konduri, Aditya, Hemanth Kolla, Julia Ling, W. Philip Kegelmeyer, Timothy Shead, Daniel Dunlavy, Warren Leon Davis, "Event Detection in Multi-Variate Scientific Simulations Using Feature Anomaly Metrics," Presentation, SIAM Parallel Processing 2018, March 2018.
  • Kouri, Drew Philip, "A Locally Adapted Reduced Basis Method for Solving Risk-Averse PDE-Constrained Optimization Problems," Presentation, 15th Copper Mountain Conference on Iterative Methods, March 2018.
  • Kouri, Drew Philip, "A Locally Adapted Reduced Basis Method for Solving Risk-Averse PDE-Constrained Optimization Problems," Conference Paper, 15th Copper Mountain Conference on Iterative Methods, March 2018.
  • Kouri, Drew Philip, Thomas M. Surowiec, "Existence and Optimality Conditions for Risk-Averse PDE-Constrained Optimization," Journal Article, SIAM/ASA Journal on Uncertainty Quantification, Vol. 6, No. 2, pp. 787–815, Accepted/Published June 2018.
  • Kouri, Drew Philip, "Optimal Approximation of Spectral Risk Measures with Application to PDE-Constrained Optimization," Presentation, SIAM Conference on Uncertainty Quantification, April 2018.
  • Kouri, Drew Philip, "Optimization and Control Under Uncertainty," Presentation, SIAM Conference on Uncertainty Quantification, April 2018.
  • Kouri, Drew Philip, "Smoothing Techniques for Risk-Averse PDE-Constrained Optimization," Presentation, UC Berkeley/LBL Applied Math Seminar, April 2018.
  • Kouri, Drew Philip, "Spectral risk measures: the risk quadrangle and optimal approximation," Journal Article, Mathematical Programming Series B, Accepted/Published May 2018.
  • Kuberry, Paul Allen, Pavel B. Bochev, Kara J. Peterson, "A virtual control, mesh-free coupling method for non-coincident interfaces," Conference Paper, ECCM-ECFD 2018, June 2018.
  • Kuberry, Paul Allen, Pavel B. Bochev, Kara J. Peterson, "Mesh-tying via multiple-control PDE-constrained optimization and GMLS function reconstruction," Presentation, Copper Mountain Conference on Iterative Methods, March 2018.
  • Lee, K., K. Carlberg, H. C. Elman, "Stochastic least-squares Petrov–Galerkin method for parameterized linear systems," Journal Article, IAM/ASA Journal on Uncertainty Quantification, Vol. 6(1), pp. 374–396, Accepted/Published January 2018.
  • Lin, Paul T, John N. Shadid, Jonathan J. Hu, Roger P. Pawlowski, Eric Christopher Cyr, "Performance of Fully-coupled Algebraic Multigrid Preconditioners for Large-scale VMS Resistive MHD," Journal Article, Journal of Computational and Applied Mathematics, Vol. 344, pp. 782–793, Accepted/Published December 2018.
  • Liu, Jianfeng, Carl Damon Laird, "A Global Stochastic Programming Approach for the Optimal Placement of Gas Detectors with Nonuniform Unavailabilities," Journal Article, Journal of Loss Prevention in the Process Industries, Vol. 51, pp. 29–35, Accepted/Published January 2018.
  • Marinella, Matthew, Sapan Agarwal, Alexander W Hsia, Isaac Richter, Robin B Jacobs-Gedrim, John Niroula, Steven J. Plimpton, Engin Ipek, Conrad D. James, "Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator," Journal Article, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Accepted/Published January 2018.
  • Markosyan, Aram, "Comparing laser induced plasmas formed in diode and excimer pumped alkali lasers," Journal Article, Opt. Express, Vol. 26, No. 1, pp. 488–495, Accepted/Published January 2018.
  • Mayo, Jackson, Robert C Armstrong, Geoffrey Compton Hulette, Maher Salloum, Andrew Michael Smith, "Robust Digital Computation in the Physical World," Book, Cyber-Physical Systems and Security, January 2018.
  • Mayr, Matthias, Massimiliano Lupo Pasini, Luc Berger-Vergiat, Raymond S. Tuminaro, "A non-invasive matrix-based multigrid scheme for partially structured grids," Presentation, 15th Copper Mountain Conference on Iterative Methods, March 2018.
  • Mayr, Matthias, Wolfgang A. Wall, Michael W. Gee, "Adaptive time stepping for fluid-structure interaction solvers," Journal Article, Finite Elements in Analysis and Design, Vol. 141, pp. 55–69, Accepted/Published March 2018.
  • Mazumdar, Yi Chen, Anirban Mazumdar, Bart G. van Bloemen Waanders, Stephen D Bond, Martin Nemer, "Remote Distributed Vibration Sensing through Opaque Media using Permanent Magnets," Journal Article, IEEE Transactions on Magnetics, Accepted/Published April 2018.
  • McGregor, Duncan Alisdair Odum, Allen C. Robinson, "Developing Numerical Methods for both Near Feed and Target Physics on Z-Machine," Presentation, Oregon State University Applied Mathematics and Computation Seminar, Invited Talk, April 2018.
  • McGregor, Duncan Alisdair Odum, Allen C. Robinson, "Improving the fidelity of simulations of power flow and target design on Sandia's Z machine - an Efficient Generalized Ohm's Law Modeling Approach in a Traditional Lagrangian-Eulerian Computational Framework," Presentation, NNSA Technical Seminar, invited talk, March 2018.
  • McGregor, Duncan Alisdair Odum, Edward Love, Richard Michael Jack Kramer, "The Crank Nicolson Time Integrator for EMPHASIS," SAND Report, March 2018.
  • Mitchell, Scott A., Christopher G. Valicka, Stephen Rowe, Simon Zou, "Footprint Placement for Mosaic Imaging by Sampling and Optimization," Conference Paper, The 28th International Conference on Automated Planning and Scheduling, June 2018.
  • Mota, Alejandro, Irina Kalashnikova Tezaur, Coleman Alleman, "The Schwarz alternating method for concurrent multiscale coupling in solid mechanics," Poster, SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP) 2018, February 2018.
  • Nicholson, Bethany L., Lorenz Biegler, John Eslick, Jaffer Ghouse, Carl Damon Laird, Andrew Lee, John Daniel Siirola, David Thierry, "Dynamic Optimization of Advanced Energy Systems," Poster, Center for Advanced Process Decision Making (CAPD) Annual Review Meeting in Pittsburgh, PA, March 2018.
  • Nitsche, Sabrina, César Silva-Monroy, Andrea Staid, Jean-Paul Watson, Scott Winner, David L. Woodruff, "Improving wind power prediction intervals using vendor-supplied probabilistic forecast information," Conference Paper, Power & Energy Society General Meeting, 2017 IEEE, February 2018.
  • Overfelt, James R., Micah Howard, Andrew Michael Bradley, Steven W. Bova, Travis C. Fisher, Ross Martin Wagnild, Derek John Dinzl, "Performance Portability in Sparc," Presentation, SIAM Conference on Parallel Processing for Scientific Computing in Tokyo, Japan, March 2018.
  • Parekh, Ojas D., Cynthia A. Phillips, Conrad D. James, James Bradley Aimone, "Constant-Depth and Subcubic-Size Threshold Circuits for Matrix Multiplication," Conference Paper, 30th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), July 2018.
  • Park, Mike A, Nicolas Barral, Daniel Alejandro Ibanez, Dmitry S Kamenetskiy, Joshua A Krakos, Todd R Michal, Adrien Loseille, "Unstructured Grid Adaptation and Solver Technology for Turbulent Flows," Conference Paper, 2018 AIAA SciTech Forum, January 2018.
  • Pavel B, Bochev,, Paul Allen Kuberry, Kara J. Peterson, Michael K. Wong, "An explicit partitioned elastodynamics method based on Lagrange Multipliers," Presentation, Copper Mountain Conference on Iterative Methods, March 2018.
  • Pedretti, Kevin, Ryan E. Grant, James H. Laros, III, Michael Levenhagen, Stephen L. Olivier, Lee Ward, Andrew J. Younge, "A Comparison of Power Management Mechanisms: P-states vs. Node-Level Power Cap Control," Workshop Paper, The 14th Workshop on High-Performance, Power-Aware Computing (HPPAC'18), May 2018.
  • Pedretti, Kevin, James H. Laros, Simon David Hammond, "Maturing the ARM Software Ecosystem for U.S. DOE/ASC Supercomputing," Presentation, 18th SIAM Conference on Parallel Processing for Scientific Computing, March 2018.
  • Pedretti, Kevin, James H. Laros, Simon David Hammond, "Vanguard Astra: Maturing the ARM Software Ecosystem for U.S. DOE/ASC Supercomputing," Presentation, Fourth International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale (ExaComm'18), June 2018.
  • Perego, Mauro, Luca Bertagna, Mathhew Hoffman, John Davis Jakeman, Stephen Price, Andrew G. Salinger, Georg Stadler, Irina Kalashnikova Tezaur, Jerry Watkins, "Ice Sheet Modeling: Computational and Mathematical Challenges," Presentation, April 2018.
  • Perez, Jorge, David John Littlewood, Janine Camille Bennett, David S Hollman, Jonathan Josiah Lifflander, Jeremiah J Wilke, "An Asynchronous Task-Based Parallelization Strategy for Multiscale Solid Mechanics," Abstract, 13th World Congress on Computational Mechanics (WCCM) in New York, New York, July 2018.
  • Peterson, Matthew Gregor, David John Stracuzzi, "UQ Pipeline for Seismic Onset Detection," Poster, 2018 Conference on Data Analytics, March 2018.
  • Portone, Teresa N., John Henry Niederhaus, Jason James Sanchez, Laura Painton Swiler, "Application of Bayesian Model Selection for Metal Yield Models Using ALEGRA and Dakota," SAND Report, February 2018.
  • Sanchez, Jason James, "The Finite Strain Johnson Cook Plasticity and Damage Constitutive Model in ALEGRA," SAND Report, February 2018.
  • Severa, William Mark, Richard B. Lehoucq, Ojas D. Parekh, James Bradley Aimone, "Spiking Neural Algorithms for Markov Process Random Walk," Conference Paper, International Joint Conference on Neural Networks 2018, July 2018.
  • Severa, William Mark, Craig Michael Vineyard, Ryan Dellana, James Bradley Aimone, "Whetstone: An Accessible, Platform-Independent Method for Training Spiking Deep Neural Networks for Neuromorphic Processors," Presentation, Neuo-Inspired Computational Elements (NICE) Workshop 2018, March 2018.
  • Severa, William Mark, Ryan Dellana, Craig Michael Vineyard, James Bradley Aimone, "Whetstone: An accessible, platform-independent method for training spiking deep neural networks for neuromorphic processors," Poster, SysML Conference 2018, February 2018.
  • Siefert, Christopher, Christopher Bernard Luchini, "Low Communication Neighbor Discovery for Matrix Migration," Presentation, SIAM Conference On Parallel Processing, March 2018.
  • Srikanth, Sriseshan, Paul G. Rabbat, Eric R. Hein, Bobin Deng, Thomas M. Conte, Erik Debenedictis, Jeanine Cook, Michael P Frank, "Memory System Design for Ultra Low Power, Computationally Error Resilient Processor Microarchitectures," Conference Paper, 24th IEEE International Symposium on High-Performance Computer Architecture, February 2018.
  • Srinivasa, Vanita, Noah Tobias Jacobson, Andrew David Baczewski, John King Gamble, Ryan Michael Jock, Patrick Harvey-Collard, Martin Rudolph, Wayne Witzel, Malcolm S. Carroll, "Entangling silicon spin qubits in a hybrid dot-donor system," Presentation, American Physical Society (APS) March Meeting 2018, March 2018.
  • Staid, Andrea, Jean-Paul Watson, Michael Lee Bynum, Bryan Arguello, "Scenario Generation for Analysis of Power System Resilience to Adverse Weather Events," Presentation, Infrastructure Resilience Conference, February 2018.
  • Staid, Andrea, "The Many Roles of Data Analysis in Planning for Hurricane Impacts," Presentation, Conference on Data Analysis (Invited), March 2018.
  • Stephens, John Adam, Brian M. Adams, "Dakota: Explore and Predict with Confidence," Poster, DoD/SNL Workshop, Albuquerque, NM, April 2018.
  • Steyer, Andrew J, Erik S Van Vleck, "Underlying one-step methods and nonautonomous stability of general linear methods," Journal Article, Discrete and Continuous Dynamical Systems - Series B, Accepted/Published April 2018.
  • Stracuzzi, David John, Michael Christopher Darling, Maximillian Gene Chen, Matthew Gregor Peterson, "Data-Driven Uncertainty Quantification for Multi-Sensor Analytics," Conference Paper, SPIE Defense + Security, April 2018.
  • Swiler, Laura Painton, Yan Wang, "Editorial for the Special Issue on Uncertainty Quantification in Multiscale System Design and Simulation.," Journal Article, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, Vol. 4, No. 1, Accepted/Published March 2018.
  • Swiler, Laura Painton, Brian M. Adams, "Generating samples from extremely ill-conditioned covariance data," Presentation, SIAM Conference on Uncertainty Quantification, April 2018.
  • Swiler, Laura Painton, Kyle Johnson, "Uncertainty Quantification for Additive Manufacturing Applications," Presentation, The Minerals, Metals, and Materials Society (TMS) Annual Meeting, March 2018.
  • Teranishi, Keita, Marc Gamell, Rob Van Der Wijingarrt, Manish Parashar, "Fenix, A Portable, Flexible Fault Tolerance Programming Framework for MPI Applications," Presentation, 18th SIAM Conference on Parallel Processing for Scientific Computing, March 2018.
  • Teranishi, Keita, Christopher Foster, Daniel M Dunlavy, Tamara G. Kolda, "Portability and Scalability of Sparse Tensor Decompositions on CPU/MIC/GPU Architectures," Presentation, 18th SIAM Conference on Parallel Processing for Scientific Computing, March 2018.
  • Thierry, David, Bethany L. Nicholson, Lorenz Biegler, "A General Framework for Sensitivity-Based Optimal Control and State Estimation," Conference Paper, Process Systems Engineering, PSE 2018, July 2018.
  • Tierney, Brian David, Harold P. Hjalmarson, Robin B Jacobs-Gedrim, Sapan Agarwal, Conrad D. James, Matthew Marinella, "Unified computational model of transport in metal-insulating oxide-metal systems," Journal Article, Applied Physics A, Vol. 124, p. 309, Accepted/Published March 2018.
  • Tuminaro, Raymond, Luc Berger-Vergiat, Matthias Mayr, Massimiliano Lupo Pasini, Peter Ohm, "Leveraging Application Structure Within Next Generation Multigrid Solvers," Presentation, SIAM Conference on Parallel Processing for Scientific Computing, February 2018.
  • Urbina, Angel, Laura Painton Swiler, Michael S. Eldred, Brian M. Adams, "An introduction to the Dakota software," Abstract, International Modal Analysis Conference XXXVI, February 2018.
  • Vaughan, Courtenay T., Jeanine Cook, Robert E. Benner, Dennis Dinge, Paul Lin, Clayton Hughes, Robert J. Hoekstra, Simon David Hammond, "On the Use of Vectorization in Production Engineering Workloads," Conference Paper, Cray User Group 2018 (CUG 2018), May 2018.
  • Vineyard, Craig Michael, "Neural-Inspired Technologies for Data Processing and Scientific Computing," Presentation, SIAM Conference on Parallel Processing for Scientific Computing , March 2018.
  • Vineyard, Craig Michael, Sam Green, Kevin Pedretti, Andrew J Younge, Vitus J. Leung, "Reinforcement Learning is Needed for Extreme Heterogeneity in Supercomputing," White Paper, January 2018.
  • Vineyard, Craig Michael, Stephen Joseph Verzi, William Mark Severa, James Bradley Aimone, "Spiking Neuron Implementations of Several Fundamental Machine Learning Algorithms," Presentation, Neural Inspired Computational Elements Workshop 2018, February 2018.
  • Vollmer, Charlie, Daniel Hernandez-Stumpfhauser, "Bayesian Seismic Event Locator Using Circular Back Azimuth Data," Poster, 2018 Conference on Data Analytics, March 2018.
  • Voth, Thomas E., Daniel Alejandro Ibanez, Edward Love, James R. Overfelt, Nathan V. Roberts, "Alexa: MPI+X Shock Hydrodynamics on Dynamically Adaptive Tetrahedral Meshes," Presentation, Applied Computer Science (ACS) Technical Exchange Meeting, February 2018.
  • Weck, Philippe F, Kyle R Cochrane, J. Matthew D Lane, Luke Shulenburger, John H. Carpenter, Travis Sjostrom, Thomas R Mattsson, Tracy J Vogler, Seth Root, "Shock compression of strongly correlated oxides: A liquid-regime equation of state for cerium(IV) oxide," Journal Article, Phys. Rev. B, Vol. 97, p. 125106, Accepted/Published March 2018.
  • Widener, Patrick, "Understanding the Performance Effects of Resilience Mechanisms in High-Performance Computing Applications," Presentation, February 2018.
  • Wildey, Timothy Michael, Troy Butler, John Davis Jakeman, Scott Walsh, "Optimal Experimental Design for Prediction Using a Consistent Bayesian Approach," Presentation, SIAM Conference on Uncertainty Quantification, April 2018.
  • Wildey, Timothy Michael, Troy Butler, "UTILIZING ADJOINT-BASED ERROR ESTIMATES FOR SURROGATE MODELS TO ACCURATELY PREDICT PROBABILITIES OF EVENTS," Journal Article, Purchase $35.00 Check subscription Download MARC record Add to Citation Manager International Journal for Uncertainty Quantification, Vol. 8, No. 2, pp. 143–159, Accepted/Published April 2018.
  • Wolf, Michael, Daniel Dunlavy, Richard B. Lehoucq, Jonathan W. Berry, "TriData: High Performance Linear Algebra-Based Data Analytic," Presentation, SIAM Parallel Processing, March 2018.
  • Wood, Mitchell A, Aidan P. Thompson, "Extending the accuracy of the SNAP interatomic potential form," Journal Article, J. Chem. Phys., Vol. 148, p. 241721, Accepted/Published March 2018.
  • Zhang, Yijia, Ozan Tuncer, Fulya Kaplan, Katzalin Olcoz, Vitus J. Leung, Ayse K. Coskun, "Level-Spread: A New Job Allocation Policy for Dragonfly Networks," Conference Paper, IPDPS, May 2018.
  • Zou, Zilon, Drew Philip Kouri, Wilkins Aquino, "A Locally Adapted Reduced Basis Method for Solving Risk-Averse PDE-Constrained Optimization Problems," Conference Paper, 2018 AIAA Non-Deterministic Approaches Conference, January 2018.