A5043973774- Parallel Computing and Optimization Techniques
- Astro and Planetary Science
- Scientific Computing and Data Management
- Advanced Data Storage Technologies
- Astrophysics and Star Formation Studies
- Distributed and Parallel Computing Systems
- Numerical Methods and Algorithms
- Advanced Numerical Methods in Computational Mathematics
- Low-power high-performance VLSI design
- Biomedical and Engineering Education
- Nuclear Physics and Applications
- Computational Physics and Python Applications
- Nuclear reactor physics and engineering
- Planetary Science and Exploration
- Artificial Intelligence in Healthcare
- Space Satellite Systems and Control
- Spacecraft and Cryogenic Technologies
- Stellar, planetary, and galactic studies
- Particle accelerators and beam dynamics
- Electromagnetic Scattering and Analysis
- Molecular Spectroscopy and Structure
- Thermodynamic properties of mixtures
Los Alamos National Laboratory
2018-2023
Computational Physics (United States)
2018-2020
University of Rochester
2016
The Exascale Computing Project (ECP) is invested in co-design to assure that key applications are ready for exascale computing. Within ECP, the Co-design Center Particle Applications (CoPA) addressing challenges faced by particle-based across four sub-motifs: short-range particle-particle interactions (e.g., those which often dominate molecular dynamics (MD) and smoothed particle hydrodynamics (SPH) methods), long-range electrostatic MD gravitational N-body), particle-in-cell (PIC) methods,...
ABSTRACT The composition of silicate dust in the diffuse interstellar medium and protoplanetary disks around young stars informs our understanding processing evolution grains leading up to planet formation. An analysis well-known 9.7 μ m feature indicates that small amorphous represent a significant fraction are also major components disks. However, this is typically modeled assuming olivine pyroxene stoichiometries. Here, we analyze with models include non-stoichiometric grains. Modeling...
Particle-based simulations are ubiquitous throughout many fields of computational science and engineering, spanning the atomistic level with molecular dynamics (MD), to mesoscale particle-in-cell (PIC) for solid mechanics, device-scale modeling PIC methods plasma physics, massive N-body cosmology galaxy structures, other in between (Hockney & Eastwood, 1989).While these use particles represent significantly different entities completely physical models, low-level details shared including...
Approximate computing addresses many of the identified challenges for exascale computing, leading to performance improvements that may include changes in fidelity calculation. In this paper, we examine approximate approaches a range DOE-relevant computational problems run on variety architectures as proxy wider set exascaleclass applications.We show anticipated and memory power savings. We also assess application correctness when operating under conditions reduced precision, is within...
In anticipation of the July 2015 flyby Pluto system by NASA's New Horizons mission, we propose naming conventions and example names for surface features on its satellites (Charon, Nix, Hydra, Kerberos, Styx) newly discovered satellites.
Due to accumulated round-off error, mathematically equivalent floating-point summations can yield different computational results. Errors propagated across timesteps be substantial and lead significant inaccuracy in the final We focus on sums an adaptive mesh refinement hydrocode. reduce error a moderate length equation by generating proper ordering grouping of terms verify this typical numerical simulation. Our techniques show accuracy classic methodology like Kahan without extra overhead....