Computer Science Research Institute Summer Proceedings 2022

Stefan Seritan and J. Darby Smith, editors, Computer Science Research Institute Summer Proceedings 2022, The Computer Science Research Institute at Sandia National Laboratories, Albuquerque, NM, 2022. Available as Sandia National Laboratories Technical Report SAND2022-10280R.

Individual Articles

  • H. Ahmed, R. Tchoua, and J. Lofstead, Making Randomness Portable Across Programming Languages, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 3–13.
  • R. Bandy, T. Portone, and E. Acquesta, Validating Neural-Network-Corrected Dynamical Systems, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 14–30.
  • J. Barnett, I. Tezaur, and A. Mota, The Schwarz Alternating Method for the Seamless Coupling of Nonlinear Reduced Order Models and Full Order Models, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 31–55.
  • O.N. Davis, G. Geraci, T.M. Wildey, and M. Motamed, Multi-Fidelity Training in Feedforward Supervised Learning Networks, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 56–77.
  • A. de Castro, P. Kuberry, I. Tezaur, and P. Bochev, A Synchronous Partitioned Scheme for Coupled Reduced Order Models Based on Separate Reduced Order Bases for the Interior and Interface Variables, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 78–92.
  • N. Galioto, C. Safta, J.D. Jakeman, and A.A. Gorodetsky, Bayesian Function Approximation Using Functional Tensor-Trains with Investigations into Uncertainty Quantification and Estimation of Dynamical Systems, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 93–108.
  • A. Gilani, B. Holman, J. Kallaugher, and O. Parekh, The Quantum Query Complexity of Triangle Detection in the Adjacency List Model, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 109–115.
  • A.J. Higgins, E.G. Boman, J.A. Loe, and I. Yamazaki, Numerical Evaluation of Random Sketch GMRES, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 116–128.
  • J.B. Larsen, M.D. Grace, A.D. Baczewski, and A.B. Magann, Lyapunov Control-Inspired Quantum Algorithms for Ground State Preparation, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 129–143.
  • A.R. Munoz, S. Pathak, and J.A. Rackers, Learning Quantum Mechanical Densities of Hellman-Feynman Optimized Basis Sets Using Equivariant Neural Networks, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 144–153.
  • K. Muollo, E.M. Raybourn, G. Weirs, R. Milewicz, J.A. Mauldin, and T.J. Otahal, A Character-Based Approach to Duplicate Identification, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 154–159.
  • W.A. Rickord, S. Poldervaart, F. Wang, R. Dellana, and S.G. Cardwell, Event Sensor Data Pipeline for Testing Spiking Motion Segmentation Algorithm, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 160–168.
  • R.L. van Heyningen, P.J. Blonigan, and E.J. Parish, Weighted and Penalized Residual Minimization Formulations for Model Reduction of Steady Hypersonic Flows, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 169–184.
  • A. Voronin, R.S. Tuminaro, L.N. Olsen, and S. MacLachlan, Monolithic Algebraic Multigrid Preconditioners for Stokes Systems, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 185–196.
  • J. Almgren-Bell, S. Moore, and M. Gallis, Collision-Partner Selection Schemes in Direct Simulation Monte Carlo Methods, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 198–205.
  • N. Gordon and K. Pedretti, Porting the Kitten Lightweight Kernel Operating System to RISC-V, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 206–216.
  • S. Grayson and R. Milewicz, Using Perceived Characteristics of Innovation to Design Software Tools for Scientists, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 217–227.
  • Z. Li, E. Phipps, and H. Kolla, Efficient Streaming Tucker Decomposition Using Incremental SVD and Blocked Tensor Matrix Multiplication, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 228–237.
  • L. Logan and J. Lofstead, Re-Architecting Storage Systems for Modern Hardware: Is It Worth It?, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 238–247.
  • J.T. Parrish, J. Ciesko, and S.L. Olivier, Leveraging Continuations to Integrate MPI with User Level Threading, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 248–257.
  • A. Spigarelli and J. Davis, Improving a Software User Interface Without the User, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 258–263.
  • M.P. Viens, W.E. Hart, C.A. Phillips, Reformulating Optimization Driven Facility Scheduling Tools for Sandia Development Tests, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 264–271.
  • B. Ma, A. Karoui, F.S. Karoui, and E. Sikorski, The Process of Researching Carbon Nanotubes and its Properties, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 273–283.
  • C. Reyes, J.D. Smith, and W. Severa, Tower and Jet Prediction Using Machine Learning, A Heavy Ion Colliding Application, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 284–293.
  • D.G. Sema and M.A. Wood, Predicting Vapor-Liquid Equilibria and Phase Transitions with Machine-Learned Interatomic Potentials, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 294–302.
  • J.L. Torchinsky and M.A. Taylor, Thermodynamic Consistency of Physics-Dynamics Coupling in the Homme Atmosphere Dynamical Core, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 303–321.
  • J. Wilson and S. Silling, Peridynamic Contact Handling, in Computer Science Research Institute Summer Proceedings 2022, S.K. Seritan and J.D. Smith, eds., Technical Report SAND2022-10280R, Sandia National Laboratories, 2022, pp. 322–333.