Bloch Solver Simulation Realization on a Graphics-Processing Unit (GPU)

Silke Maria Lechner^1,2, Daniel Butnaru², Hans-Joachim Bungartz², Dong Chen^1,3, Mika W. Vogel¹

We present a fast and flexible Bloch solver implementation on a graphics-processing unit (GPU). Optimization techniques with improved memory allocation, controlled data copying and efficient task utilization yield speed-up times that are 6-12 times faster than conventional realizations or 2-6 times faster than other parallelized approaches. We present existing simulation optimizations and introduce the basic concept of our GPU realization. We illustrate the improved performance and benefit of the chosen optimization techniques based on simulated image acquisition with emphasis on performance and accuracy.