Current vortices and critical surfaces in a magnetohydrodynamic flow <tokovyye vikhri i kriticheskiye poverkhnosti v magnitogidrodinamicheskom potoke<
Current vortices and critical surfaces in magnetohydrodynamic flow
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Current vortices and critical surfaces in magnetohydrodynamic flow
Magnetohydrodynamics of earth core
Lee wave of magnetohydrodynamic interaction of solar wind with moon observed by IMP-1 satellite
Criterion for magnetohydrodynamic generator seeding
Magnetohydrodynamic wave propagation in plasmas
Performance comparison of magnetohydrodynamic two-disk generator with linear Hall generator
Simple waves and covariant formulation related to magnetohydrodynamics and derivation of equations for one-dimensional wave propagation and Riemann invariants for fast and slow waves
Two-dimensional study of magnetohydrodynamic shock structure around cylinder in cold collisionless plasma stream containing weak magnetic field
Low frequency magnetohydrodynamic waves in interplanetary space examined with respect to variations of plasma velocity, magnetic field, and plasma density
Comparison of liquid metal magnetohydrodynamic power conversion cycles
Magnetohydrodynamic aspects of comet-solar wind interaction
Liquid magnetohydrodynamic power conversion
Excitation of magnetohydrodynamic wave guide in coaxial line
Theory of magnetohydrodynamic wave scattering at end of wave guide
Turbulent magnetohydrodynamic flows in prismatic and cylindrical pipes
One-dimensional magnetohydrodynamic flow in annulus
Computer simulations of magnetohydrodynamic plasma devices
We describe our experience using NVIDIA's CUDA (Compute Unified Device Architecture) C programming environment to implement a two-dimensional second-order MUSCL-Hancock ideal magnetohydrodynamics (MHD) solver on a GTX 480 Graphics Processing Unit (GPU). Taking a simple approach in which the MHD variables are stored exclusively in the global memory of the GTX 480 and accessed in a cache-friendly manner (without further optimizing memory access by, for example, staging data in the GPU's faster shared memory), we achieved a maximum speed-up of approx. = 126 for a sq 1024 grid relative to the sequential C code running on a single Intel Nehalem (2.8 GHz) core. This speedup is consistent with simple estimates based on the known floating point performance, memory throughput and parallel processing capacity of the GTX 480.