Simulation of Low-Rm physics in complex geometries on GPUs with LGR
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Efficient modeling of low magnetic Reynolds number (low-Rm) magnetohydrodynamics is often challenging and requires the implementation of innovative techniques to avoid key barriers experienced with prior approaches. We detail a new paradigm for first-principles simulation of the solution to the low-Rm governing equations in complex geometries. As a result of a number of innovative numerical advances, the next-generation GPU (graphics processing unit) accelerated physics code LGR has been successfully applied to the modeling of exploding wire problems.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States). Advanced Simulation and Computing (ASC)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- NA0003525
- OSTI ID:
- 1820251
- Report Number(s):
- SAND2021-11359; 699379; TRN: US2301599
- Country of Publication:
- United States
- Language:
- English
Similar Records
Accelerating population balance-Monte Carlo simulation for coagulation dynamics from the Markov jump model, stochastic algorithm and GPU parallel computing
SU-E-T-558: Monte Carlo Photon Transport Simulations On GPU with Quadric Geometry
Data Parallel Execution Challenges and Runtime Performance of Agent Simulations on GPUs
Journal Article
·
Thu Jan 15 00:00:00 EST 2015
· Journal of Computational Physics
·
OSTI ID:1820251
SU-E-T-558: Monte Carlo Photon Transport Simulations On GPU with Quadric Geometry
Journal Article
·
Mon Jun 15 00:00:00 EDT 2015
· Medical Physics
·
OSTI ID:1820251
+1 more
Data Parallel Execution Challenges and Runtime Performance of Agent Simulations on GPUs
Conference
·
Tue Jan 01 00:00:00 EST 2008
·
OSTI ID:1820251